Package evaluation of LineSearch on Julia 1.13.0-DEV.1003 (44fdede182*) started at 2025-08-19T16:16:46.857 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.82s ################################################################################ # Installation # Installing LineSearch... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [87fe0de2] + LineSearch v0.1.4 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.17.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [4fba245c] + ArrayInterface v7.19.0 [38540f10] + CommonSolve v0.2.4 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [a0c0ee7d] + DifferentiationInterface v0.7.6 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [3587e190] + InverseFunctions v0.1.17 [82899510] + IteratorInterfaceExtensions v1.0.0 [ae98c720] + Jieko v0.2.1 [87fe0de2] + LineSearch v0.1.4 [1914dd2f] + MacroTools v0.5.16 [bb5d69b7] + MaybeInplace v0.1.4 [2e0e35c7] + Moshi v0.3.7 [d236fae5] + PreallocationTools v0.4.32 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.5.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.37.1 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [0bca4576] + SciMLBase v2.111.1 [19f34311] + SciMLJacobianOperators v0.1.8 [c0aeaf25] + SciMLOperators v1.5.0 [53ae85a6] + SciMLStructures v1.7.0 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [2efcf032] + SymbolicIndexingInterface v0.3.43 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [f489334b] + StyledStrings v1.11.0 [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 v0.3.29+0 [8e850b90] + libblastrampoline_jll v5.13.1+0 Installation completed after 4.39s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/nGMfF/src/julia-1.11/activate_set.jl:76 Precompiling package dependencies... ERROR: LoadError: The following 6 direct dependencies failed to precompile: EnzymeLogExpFunctionsExt Failed to precompile EnzymeLogExpFunctionsExt [1a9f04a6-12b6-5435-a00e-55b0a0022015] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeLogExpFunctionsExt/jl_YeFb1I" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:4 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:1 in expression starting at stdin:5 EnzymeStaticArraysExt Failed to precompile EnzymeStaticArraysExt [8724f06c-f4c4-5d10-8ca5-5036e220244b] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeStaticArraysExt/jl_bbvpkw" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:4 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:1 in expression starting at stdin:5 EnzymeSpecialFunctionsExt Failed to precompile EnzymeSpecialFunctionsExt [bc91e8c5-4631-5c58-9d34-c5da8b408cf1] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeSpecialFunctionsExt/jl_YVFKLz" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:4 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:1 in expression starting at stdin:5 DifferentiationInterfaceEnzymeExt Failed to precompile DifferentiationInterfaceEnzymeExt [b2bef6f4-9359-51c0-9eac-bc8d0bbb8621] to "/home/pkgeval/.julia/compiled/v1.13/DifferentiationInterfaceEnzymeExt/jl_YcGeVQ" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr}) @ Base ./module.jl:101 [16] top-level scope @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:32 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:1 in expression starting at stdin:5 EnzymeGPUArraysCoreExt Failed to precompile EnzymeGPUArraysCoreExt [6f04138c-15cb-59c5-94f1-55440044fc8e] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeGPUArraysCoreExt/jl_ejx9Kn" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:4 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:1 in expression starting at stdin:5 EnzymeChainRulesCoreExt Failed to precompile EnzymeChainRulesCoreExt [dea36ce8-68cc-5ac3-8d54-6d6fec99b42c] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeChainRulesCoreExt/jl_JR8x04" (ProcessExited(1)). ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:5 [17] include(mod::Module, _path::String) @ Base ./Base.jl:308 [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 [19] top-level scope @ stdin:5 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2863 [22] include_string @ ./loading.jl:2873 [inlined] [23] exec_options(opts::Base.JLOptions) @ Base ./client.jl:328 [24] _start() @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:1 in expression starting at stdin:5 in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 568.59s ################################################################################ # Testing # Testing LineSearch Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_ZkYsLI/Project.toml` ⌅ [a0c0ee7d] ↓ DifferentiationInterface v0.7.6 ⇒ v0.6.54 [7da242da] + Enzyme v0.13.69 [6a86dc24] + FiniteDiff v2.28.1 ⌅ [f6369f11] + ForwardDiff v0.10.38 [0e44f5e4] + Hwloc v3.3.0 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [b7050fa9] + NonlinearProblemLibrary v0.1.3 [817f1d60] + ReTestItems v1.33.2 [37e2e3b7] + ReverseDiff v1.16.1 ⌃ [0bca4576] ↓ SciMLBase v2.111.1 ⇒ v2.101.0 [9f7883ad] + Tracker v0.2.38 ⌅ [e88e6eb3] + Zygote v0.6.77 [b77e0a4c] ~ InteractiveUtils ⇒ v1.11.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_ZkYsLI/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [a9b6321e] + Atomix v1.1.2 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.26.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 ⌅ [a0c0ee7d] ↓ DifferentiationInterface v0.7.6 ⇒ v0.6.54 [7da242da] + Enzyme v0.13.69 [f151be2c] + EnzymeCore v0.8.12 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.28.1 ⌅ [f6369f11] + ForwardDiff v0.10.38 [d9f16b24] + Functors v0.5.2 [0c68f7d7] + GPUArrays v11.2.3 [61eb1bfa] + GPUCompiler v1.6.1 [076d061b] + HashArrayMappedTries v0.2.0 [0e44f5e4] + Hwloc v3.3.0 [7869d1d1] + IRTools v0.4.15 [92d709cd] + IrrationalConstants v0.2.4 [692b3bcd] + JLLWrappers v1.7.1 [63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [87fe0de2] + LineSearch v0.1.4 [d3d80556] + LineSearches v7.4.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [d41bc354] + NLSolversBase v7.10.0 [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 [b7050fa9] + NonlinearProblemLibrary v0.1.3 [d8793406] + ObjectFile v0.5.0 [3bd65402] + Optimisers v0.4.6 [bac558e1] + OrderedCollections v1.8.1 [d96e819e] + Parameters v0.12.3 [d236fae5] - PreallocationTools v0.4.32 [817f1d60] + ReTestItems v1.33.2 [c1ae055f] + RealDot v0.1.0 ⌃ [731186ca] ↓ RecursiveArrayTools v3.37.1 ⇒ v3.36.0 [37e2e3b7] + ReverseDiff v1.16.1 ⌃ [0bca4576] ↓ SciMLBase v2.111.1 ⇒ v2.101.0 [7e506255] + ScopedValues v1.4.0 [6c6a2e73] + Scratch v1.3.0 [efcf1570] + Setfield v1.1.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.14 [09ab397b] + StructArrays v0.7.1 [53d494c1] + StructIO v0.3.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [1e6cf692] + TestEnv v1.102.2 [9f7883ad] + Tracker v0.2.38 [e689c965] + Tracy v0.1.5 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.7 [7cc45869] + Enzyme_jll v0.0.191+0 [e33a78d0] + Hwloc_jll v2.12.1+0 [dad2f222] + LLVMExtra_jll v0.0.37+2 [ad6e5548] + LibTracyClient_jll v0.9.1+6 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] ~ InteractiveUtils ⇒ v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [2f01184e] + SparseArrays v1.13.0 [4607b0f0] + SuiteSparse [a4e569a6] + Tar v1.10.0 [8dfed614] ~ Test ⇒ v1.11.0 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.8.12 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850ede] + nghttp2_jll v1.66.0+0 [3f19e933] + p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Test Successfully re-resolved Status `/tmp/jl_ZkYsLI/Project.toml` [47edcb42] ADTypes v1.17.0 [38540f10] CommonSolve v0.2.4 [2569d6c7] ConcreteStructs v0.2.3 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [7da242da] Enzyme v0.13.69 [9aa1b823] FastClosures v0.3.2 [6a86dc24] FiniteDiff v2.28.1 ⌅ [f6369f11] ForwardDiff v0.10.38 [0e44f5e4] Hwloc v3.3.0 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [bb5d69b7] MaybeInplace v0.1.4 [b7050fa9] NonlinearProblemLibrary v0.1.3 [817f1d60] ReTestItems v1.33.2 [37e2e3b7] ReverseDiff v1.16.1 ⌃ [0bca4576] SciMLBase v2.101.0 [19f34311] SciMLJacobianOperators v0.1.8 [1e83bf80] StaticArraysCore v1.4.3 [9f7883ad] Tracker v0.2.38 ⌅ [e88e6eb3] Zygote v0.6.77 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_ZkYsLI/Manifest.toml` [47edcb42] ADTypes v1.17.0 [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [4fba245c] ArrayInterface v7.19.0 [a9b6321e] Atomix v1.1.2 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [9a962f9c] DataAPI v1.16.0 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 ⌅ [a0c0ee7d] DifferentiationInterface v0.6.54 [ffbed154] DocStringExtensions v0.9.5 [4e289a0a] EnumX v1.0.5 [7da242da] Enzyme v0.13.69 [f151be2c] EnzymeCore v0.8.12 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [9aa1b823] FastClosures v0.3.2 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.28.1 ⌅ [f6369f11] ForwardDiff v0.10.38 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [d9f16b24] Functors v0.5.2 [0c68f7d7] GPUArrays v11.2.3 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.6.1 [076d061b] HashArrayMappedTries v0.2.0 [0e44f5e4] Hwloc v3.3.0 [7869d1d1] IRTools v0.4.15 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 [ae98c720] Jieko v0.2.1 [63c18a36] KernelAbstractions v0.9.38 [929cbde3] LLVM v9.4.2 [87fe0de2] LineSearch v0.1.4 [d3d80556] LineSearches v7.4.0 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 [bb5d69b7] MaybeInplace v0.1.4 [2e0e35c7] Moshi v0.3.7 [d41bc354] NLSolversBase v7.10.0 [872c559c] NNlib v0.9.31 [77ba4419] NaNMath v1.1.3 [b7050fa9] NonlinearProblemLibrary v0.1.3 [d8793406] ObjectFile v0.5.0 [3bd65402] Optimisers v0.4.6 [bac558e1] OrderedCollections v1.8.1 [d96e819e] Parameters v0.12.3 [aea7be01] PrecompileTools v1.3.2 [21216c6a] Preferences v1.5.0 [817f1d60] ReTestItems v1.33.2 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 ⌃ [731186ca] RecursiveArrayTools v3.36.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [37e2e3b7] ReverseDiff v1.16.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.15 ⌃ [0bca4576] SciMLBase v2.101.0 [19f34311] SciMLJacobianOperators v0.1.8 [c0aeaf25] SciMLOperators v1.5.0 [53ae85a6] SciMLStructures v1.7.0 [7e506255] ScopedValues v1.4.0 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [90137ffa] StaticArrays v1.9.14 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [09ab397b] StructArrays v0.7.1 [53d494c1] StructIO v0.3.1 [2efcf032] SymbolicIndexingInterface v0.3.43 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [1e6cf692] TestEnv v1.102.2 [9f7883ad] Tracker v0.2.38 [e689c965] Tracy v0.1.5 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] Zygote v0.6.77 [700de1a5] ZygoteRules v0.2.7 [7cc45869] Enzyme_jll v0.0.191+0 [e33a78d0] Hwloc_jll v2.12.1+0 [dad2f222] LLVMExtra_jll v0.0.37+2 [ad6e5548] LibTracyClient_jll v0.9.1+6 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.8.12 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.66.0+0 [3f19e933] p7zip_jll v17.6.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... Precompiling packages... 4500.9 ms ✓ Hwloc 1 dependency successfully precompiled in 5 seconds. 8 already precompiled. ┌ Info: Julia Version 1.13.0-DEV.1003 │ Commit 44fdede182* (2025-08-19 07:36 UTC) │ Platform Info: │ OS: Linux (x86_64-linux-gnu) │ CPU: 128 × AMD EPYC 7502 32-Core Processor │ WORD_SIZE: 64 │ LLVM: libLLVM-20.1.8 (ORCJIT, znver2) │ GC: Built with stock GC │ Threads: 1 default, 0 interactive, 1 GC (on 1 virtual cores) │ Environment: │ JULIA_CPU_THREADS = 1 │ JULIA_NUM_PRECOMPILE_TASKS = 1 │ JULIA_PKG_PRECOMPILE_AUTO = 0 │ JULIA_PKGEVAL = true │ JULIA_DEPOT_PATH = /home/pkgeval/.julia:/usr/local/share/julia: │ JULIA_NUM_THREADS = 1 └ JULIA_LOAD_PATH = @:/tmp/jl_ZkYsLI [ Info: Running tests for group: all with 1 workers [ Info: Scanning for test items in project `LineSearch` at paths: /home/pkgeval/.julia/packages/LineSearch/Ky1ZB [ Info: Finished scanning for test items in 6.68 seconds. [ Info: Scheduling 4 tests on pid 249 with 1 worker processes and 1 threads per worker. [ Info: Starting test workers Worker 257: [ Info: Starting test worker 1 on pid = 257, with 1 threads [ Info: Starting running test items Worker 257: 16:28:14 | maxrss 2.1% | mem 4.4% | START (1/4) test item "LineSearches.jl: Custom Optimizer" at test/custom_optimizer_tests.jl:51 Worker 257: 16:32:31 | maxrss 2.2% | mem 5.4% | DONE (1/4) test item "LineSearches.jl: Custom Optimizer" 256.4 secs Captured Logs for test item "LineSearches.jl: Custom Optimizer" at test/custom_optimizer_tests.jl:51 on worker 257 Precompiling packages... 2058.8 ms ✓ RecursiveArrayTools → RecursiveArrayToolsForwardDiffExt 1 dependency successfully precompiled in 3 seconds. 49 already precompiled. Precompiling packages... 17171.6 ms ✓ NNlib 3112.0 ms ✓ NNlib → NNlibSpecialFunctionsExt 3348.4 ms ✓ NNlib → NNlibForwardDiffExt 15128.0 ms ✓ Tracker 4 dependencies successfully precompiled in 42 seconds. 53 already precompiled. Precompiling packages... 926.8 ms ✓ ADTypes → ADTypesChainRulesCoreExt 1 dependency successfully precompiled in 1 seconds. 9 already precompiled. Precompiling packages... 3196.9 ms ✓ SciMLBase → SciMLBaseChainRulesCoreExt 1 dependency successfully precompiled in 3 seconds. 62 already precompiled. Precompiling packages... 949.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceChainRulesCoreExt 1 dependency successfully precompiled in 1 seconds. 11 already precompiled. Precompiling packages... 1603.7 ms ✓ Accessors → StaticArraysExt 1 dependency successfully precompiled in 2 seconds. 18 already precompiled. Precompiling packages... 1482.7 ms ✓ DifferentiationInterface → DifferentiationInterfaceStaticArraysExt 1 dependency successfully precompiled in 2 seconds. 10 already precompiled. Precompiling packages... 2868.8 ms ✓ RecursiveArrayTools → RecursiveArrayToolsKernelAbstractionsExt 1 dependency successfully precompiled in 3 seconds. 51 already precompiled. Precompiling packages... 3604.5 ms ✓ ArrayInterface → ArrayInterfaceTrackerExt 1 dependency successfully precompiled in 4 seconds. 61 already precompiled. Precompiling packages... 3867.4 ms ✓ RecursiveArrayTools → RecursiveArrayToolsTrackerExt 1 dependency successfully precompiled in 4 seconds. 84 already precompiled. Precompiling packages... 3637.5 ms ✓ DifferentiationInterface → DifferentiationInterfaceTrackerExt 1 dependency successfully precompiled in 4 seconds. 65 already precompiled. Precompiling packages... 1726.6 ms ✓ StructArrays 15154.7 ms ✓ GPUArrays 1411.2 ms ✓ StructArrays → StructArraysSparseArraysExt 2773.7 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 1033.3 ms ✓ StructArrays → StructArraysLinearAlgebraExt 923.7 ms ✓ StructArrays → StructArraysAdaptExt 1768.7 ms ✓ StructArrays → StructArraysStaticArraysExt 12928.5 ms ✓ ChainRules 67024.2 ms ✓ Zygote 9 dependencies successfully precompiled in 105 seconds. 97 already precompiled. Precompiling packages... 1860.5 ms ✓ RecursiveArrayTools → RecursiveArrayToolsSparseArraysExt 1 dependency successfully precompiled in 2 seconds. 42 already precompiled. Precompiling packages... 1071.3 ms ✓ Accessors → StructArraysExt 1 dependency successfully precompiled in 1 seconds. 20 already precompiled. Precompiling packages... 1421.1 ms ✓ RecursiveArrayTools → RecursiveArrayToolsStructArraysExt 1 dependency successfully precompiled in 2 seconds. 41 already precompiled. Precompiling packages... 1688.6 ms ✓ ArrayInterface → ArrayInterfaceChainRulesExt 1 dependency successfully precompiled in 2 seconds. 40 already precompiled. Precompiling packages... 11115.0 ms ✓ RecursiveArrayTools → RecursiveArrayToolsZygoteExt 1 dependency successfully precompiled in 12 seconds. 130 already precompiled. Precompiling packages... 6507.1 ms ✓ Zygote → ZygoteTrackerExt 1 dependency successfully precompiled in 8 seconds. 113 already precompiled. Precompiling packages... 12062.2 ms ✓ SciMLBase → SciMLBaseZygoteExt 1 dependency successfully precompiled in 13 seconds. 147 already precompiled. Precompiling packages... 5391.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceZygoteExt 1 dependency successfully precompiled in 6 seconds. 115 already precompiled. Precompiling packages... 4264.5 ms ✓ NNlib → NNlibEnzymeCoreExt 1 dependency successfully precompiled in 5 seconds. 36 already precompiled. Precompiling packages... 1322.5 ms ✓ Optimisers → OptimisersEnzymeCoreExt 1 dependency successfully precompiled in 1 seconds. 14 already precompiled. Error in testset "LineSearches.jl: Custom Optimizer" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:51 Got exception outside of a @test InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace: [1] __init__() @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 [2] run_module_init(mod::Module, i::Int64) @ Base ./loading.jl:1417 [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) @ Base ./loading.jl:1405 [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) @ Base ./loading.jl:1293 [5] _include_from_serialized @ ./loading.jl:1247 [inlined] [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) @ Base ./loading.jl:2105 [7] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2618 [8] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2484 [9] macro expansion @ ./loading.jl:2412 [inlined] [10] macro expansion @ ./lock.jl:376 [inlined] [11] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2376 [12] require @ ./loading.jl:2352 [inlined] [13] eval_import_path @ ./module.jl:36 [inlined] [14] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [15] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:53 [17] eval(m::Module, e::Any) @ Core ./boot.jl:489 [18] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [19] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [20] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [21] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [22] redirect_stdio @ ./stream.jl:1411 [inlined] [23] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [24] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [25] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [26] open @ ./io.jl:417 [inlined] [27] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [28] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [29] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [30] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [31] top-level scope @ none:1 [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [34] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 during initialization of module API Worker 257: 16:32:37 | maxrss 2.2% | mem 5.3% | START (2/4) test item "Native Line Search: Custom Optimizer" at test/custom_optimizer_tests.jl:103 Worker 257: 16:41:26 | maxrss 2.7% | mem 5.9% | DONE (2/4) test item "Native Line Search: Custom Optimizer" 528.9 secs (42.3% compile, 0.8% recompile, 0.7% GC), 81.79 M allocs (4.619 GB) Captured Logs for test item "Native Line Search: Custom Optimizer" at test/custom_optimizer_tests.jl:103 on worker 257 Precompiling packages... Info Given EnzymeLogExpFunctionsExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [16] top-level scope  @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:4  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:1 in expression starting at stdin:5 ✗ Enzyme → EnzymeLogExpFunctionsExt 0 dependencies successfully precompiled in 19 seconds. 52 already precompiled. ┌ Error: Error during loading of extension EnzymeLogExpFunctionsExt of Enzyme, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 direct dependency failed to precompile: │ │ EnzymeLogExpFunctionsExt │ │ Failed to precompile EnzymeLogExpFunctionsExt [1a9f04a6-12b6-5435-a00e-55b0a0022015] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeLogExpFunctionsExt/jl_OlDB2E" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:4 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:1 │ in expression starting at stdin: └ @ Base loading.jl:1591 Precompiling packages... Info Given EnzymeChainRulesCoreExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [16] top-level scope  @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:5  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:1 in expression starting at stdin:5 ✗ Enzyme → EnzymeChainRulesCoreExt 0 dependencies successfully precompiled in 19 seconds. 53 already precompiled. ┌ Error: Error during loading of extension EnzymeChainRulesCoreExt of Enzyme, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 direct dependency failed to precompile: │ │ EnzymeChainRulesCoreExt │ │ Failed to precompile EnzymeChainRulesCoreExt [dea36ce8-68cc-5ac3-8d54-6d6fec99b42c] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeChainRulesCoreExt/jl_tWvFrd" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:5 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeChainRulesCoreExt.jl:1 │ in expression starting at stdin: └ @ Base loading.jl:1591 Precompiling packages... Info Given EnzymeGPUArraysCoreExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [16] top-level scope  @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:4  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:1 in expression starting at stdin:5 ✗ Enzyme → EnzymeGPUArraysCoreExt 0 dependencies successfully precompiled in 21 seconds. 54 already precompiled. ┌ Error: Error during loading of extension EnzymeGPUArraysCoreExt of Enzyme, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 direct dependency failed to precompile: │ │ EnzymeGPUArraysCoreExt │ │ Failed to precompile EnzymeGPUArraysCoreExt [6f04138c-15cb-59c5-94f1-55440044fc8e] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeGPUArraysCoreExt/jl_vFyueM" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:4 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeGPUArraysCoreExt.jl:1 │ in expression starting at stdin: └ @ Base loading.jl:1591 Precompiling packages... Info Given EnzymeSpecialFunctionsExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [16] top-level scope  @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:4  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:1 in expression starting at stdin:5 ✗ Enzyme → EnzymeSpecialFunctionsExt ✗ Enzyme → EnzymeLogExpFunctionsExt 0 dependencies successfully precompiled in 39 seconds. 55 already precompiled. ┌ Error: Error during loading of extension EnzymeSpecialFunctionsExt of Enzyme, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 2 direct dependencies failed to precompile: │ │ EnzymeLogExpFunctionsExt │ │ Failed to precompile EnzymeLogExpFunctionsExt [1a9f04a6-12b6-5435-a00e-55b0a0022015] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeLogExpFunctionsExt/jl_TjmKmw" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:4 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeLogExpFunctionsExt.jl:1 │ in expression starting at stdin:5 │ EnzymeSpecialFunctionsExt │ │ Failed to precompile EnzymeSpecialFunctionsExt [bc91e8c5-4631-5c58-9d34-c5da8b408cf1] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeSpecialFunctionsExt/jl_bHSs0i" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:4 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeSpecialFunctionsExt.jl:1 │ in expression starting at stdin:5 └ @ Base loading.jl:1591 Precompiling packages... Info Given EnzymeStaticArraysExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [16] top-level scope  @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:4  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:1 in expression starting at stdin:5 ✗ Enzyme → EnzymeStaticArraysExt 0 dependencies successfully precompiled in 20 seconds. 51 already precompiled. ┌ Error: Error during loading of extension EnzymeStaticArraysExt of Enzyme, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 direct dependency failed to precompile: │ │ EnzymeStaticArraysExt │ │ Failed to precompile EnzymeStaticArraysExt [8724f06c-f4c4-5d10-8ca5-5036e220244b] to "/home/pkgeval/.julia/compiled/v1.13/EnzymeStaticArraysExt/jl_j68Mae" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [16] top-level scope │ @ ~/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:4 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/Enzyme/iosr4/ext/EnzymeStaticArraysExt.jl:1 │ in expression starting at stdin: └ @ Base loading.jl:1591 Precompiling packages... Info Given DifferentiationInterfaceEnzymeExt was explicitly requested, output will be shown live  ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` Suggestion: check for spelling errors or missing imports. Stacktrace:  [1] __init__()  @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405  [2] run_module_init(mod::Module, i::Int64)  @ Base ./loading.jl:1417  [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)  @ Base ./loading.jl:1405  [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)  @ Base ./loading.jl:1293  [5] _include_from_serialized  @ ./loading.jl:1247 [inlined]  [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})  @ Base ./loading.jl:2105  [7] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2618  [8] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2484  [9] macro expansion  @ ./loading.jl:2412 [inlined]  [10] macro expansion  @ ./lock.jl:376 [inlined]  [11] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2376  [12] require  @ ./loading.jl:2352 [inlined]  [13] eval_import_path  @ ./module.jl:36 [inlined]  [14] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [15] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})  @ Base ./module.jl:101  [16] top-level scope  @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:32  [17] include(mod::Module, _path::String)  @ Base ./Base.jl:308  [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017  [19] top-level scope  @ stdin:5  [20] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2863  [22] include_string  @ ./loading.jl:2873 [inlined]  [23] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:328  [24] _start()  @ Base ./client.jl:563 during initialization of module API in expression starting at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:1 in expression starting at stdin:5 ✗ DifferentiationInterface → DifferentiationInterfaceEnzymeExt 0 dependencies successfully precompiled in 19 seconds. 53 already precompiled. ┌ Error: Error during loading of extension DifferentiationInterfaceEnzymeExt of DifferentiationInterface, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 direct dependency failed to precompile: │ │ DifferentiationInterfaceEnzymeExt │ │ Failed to precompile DifferentiationInterfaceEnzymeExt [b2bef6f4-9359-51c0-9eac-bc8d0bbb8621] to "/home/pkgeval/.julia/compiled/v1.13/DifferentiationInterfaceEnzymeExt/jl_MfPxe4" (ProcessExited(1)). │ ERROR: LoadError: InitError: UndefVarError: `libEnzyme` not defined in `Enzyme.API` │ Suggestion: check for spelling errors or missing imports. │ Stacktrace: │ [1] __init__() │ @ Enzyme.API ~/.julia/packages/Enzyme/iosr4/src/api.jl:1405 │ [2] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [3] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [4] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [5] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [6] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [7] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2618 │ [8] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2484 │ [9] macro expansion │ @ ./loading.jl:2412 [inlined] │ [10] macro expansion │ @ ./lock.jl:376 [inlined] │ [11] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [12] require │ @ ./loading.jl:2352 [inlined] │ [13] eval_import_path │ @ ./module.jl:36 [inlined] │ [14] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [15] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr}) │ @ Base ./module.jl:101 │ [16] top-level scope │ @ ~/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:32 │ [17] include(mod::Module, _path::String) │ @ Base ./Base.jl:308 │ [18] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017 │ [19] top-level scope │ @ stdin:5 │ [20] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [21] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:2863 │ [22] include_string │ @ ./loading.jl:2873 [inlined] │ [23] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:328 │ [24] _start() │ @ Base ./client.jl:563 │ during initialization of module API │ in expression starting at /home/pkgeval/.julia/packages/DifferentiationInterface/zJHX8/ext/DifferentiationInterfaceEnzymeExt/DifferentiationInterfaceEnzymeExt.jl:1 │ in expression starting at stdin: └ @ Base loading.jl:1591 Precompiling packages... 63400.0 ms ✓ ReverseDiff 1 dependency successfully precompiled in 64 seconds. 32 already precompiled. Precompiling packages... 14808.3 ms ✓ ArrayInterface → ArrayInterfaceReverseDiffExt 1 dependency successfully precompiled in 15 seconds. 39 already precompiled. Precompiling packages... 22467.6 ms ✓ GPUArrays 28213.6 ms ✓ RecursiveArrayTools → RecursiveArrayToolsReverseDiffExt 2 dependencies successfully precompiled in 52 seconds. 133 already precompiled. Precompiling packages... 15744.0 ms ✓ DifferentiationInterface → DifferentiationInterfaceReverseDiffExt 1 dependency successfully precompiled in 16 seconds. 39 already precompiled. Error in testset "method: LiFukushimaLineSearch" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LiFukushimaLineSearch{Int64, Float64, Float64, Float64, Float64, Float64, Int64}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:16 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LiFukushimaLineSearch{Int64, Float64, Float64, Float64, Float64, Float64, Int64}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [12] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:108 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [14] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:111 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [16] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:121 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [21] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [22] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [23] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [24] redirect_stdio @ ./stream.jl:1411 [inlined] [25] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [26] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [27] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [28] open @ ./io.jl:417 [inlined] [29] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [30] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [31] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [32] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [33] top-level scope @ none:1 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [36] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: NoLineSearch" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.NoLineSearch{Float64}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:16 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.NoLineSearch{Float64}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [12] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:108 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [14] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:111 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [16] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:121 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [21] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [22] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [23] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [24] redirect_stdio @ ./stream.jl:1411 [inlined] [25] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [26] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [27] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [28] open @ ./io.jl:417 [inlined] [29] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [30] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [31] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [32] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [33] top-level scope @ none:1 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [36] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:15 [15] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:108 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:111 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:121 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:15 [15] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:108 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:111 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:115 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:121 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: LiFukushimaLineSearch" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LiFukushimaLineSearch{Int64, Float64, Float64, Float64, Float64, Float64, Int64}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:16 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LiFukushimaLineSearch{Int64, Float64, Float64, Float64, Float64, Float64, Int64}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [12] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:131 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [14] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:134 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [16] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:143 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [21] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [22] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [23] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [24] redirect_stdio @ ./stream.jl:1411 [inlined] [25] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [26] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [27] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [28] open @ ./io.jl:417 [inlined] [29] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [30] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [31] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [32] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [33] top-level scope @ none:1 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [36] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: NoLineSearch" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.NoLineSearch{Float64}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:16 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.NoLineSearch{Float64}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [12] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:131 [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [14] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:134 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [16] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 [inlined] [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:143 [inlined] [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [21] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [22] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [23] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [24] redirect_stdio @ ./stream.jl:1411 [inlined] [25] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [26] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [27] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [28] open @ ./io.jl:417 [inlined] [29] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [30] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [31] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [32] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [33] top-level scope @ none:1 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [36] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:15 [15] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:131 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:134 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:143 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] gradient_descent(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}; g_atol::Float64, maxiters::Int64, autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:15 [15] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(Main.var"##CustomOptimizer#284".gradient_descent), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Custom Optimizer#287".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##CustomOptimizer#284" ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:5 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:131 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:134 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:137 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/custom_optimizer_tests.jl:143 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Worker 257: 16:41:29 | maxrss 2.7% | mem 5.9% | START (3/4) test item "LineSearches.jl: Newton Raphson" at test/root_finding_tests.jl:77 Worker 257: 16:44:24 | maxrss 2.8% | mem 6.0% | DONE (3/4) test item "LineSearches.jl: Newton Raphson" 174.9 secs (98.3% compile, <0.1% recompile, 0.8% GC), 46.22 M allocs (2.759 GB) No Captured Logs for test item "LineSearches.jl: Newton Raphson" at test/root_finding_tests.jl:77 on worker 257 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:82 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:85 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:97 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: StrongWolfe" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:82 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:85 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:97 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: HagerZhang" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:82 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:85 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:97 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: MoreThuente" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:82 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:85 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:97 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: Static" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:82 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:85 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:89 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:97 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.BackTracking{Float64, Int64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:106 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:109 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:120 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: StrongWolfe" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.StrongWolfe{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:106 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:109 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:120 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: HagerZhang" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.HagerZhang{Float64, Base.RefValue{Bool}}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:106 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:109 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:120 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: MoreThuente" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.MoreThuente{Float64}, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:106 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:109 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:120 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: Static" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:65 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/line_searches_ext.jl:59 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##LineSearches.jl: Newton Raphson#290".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.LineSearchesJL{LineSearches.Static, Bool, ADTypes.AutoEnzyme{Nothing, Nothing}}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:106 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:109 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:112 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:120 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Worker 257: 16:44:24 | maxrss 2.8% | mem 6.0% | START (4/4) test item "Native Line Search: Newton Raphson" at test/root_finding_tests.jl:129 Worker 257: 16:45:07 | maxrss 2.8% | mem 6.1% | DONE (4/4) test item "Native Line Search: Newton Raphson" 42.9 secs (96.5% compile, <0.1% recompile, 1.4% GC), 17.45 M allocs (1.035 GB) No Captured Logs for test item "Native Line Search: Newton Raphson" at test/root_finding_tests.jl:129 on worker 257 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:151 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:134 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:147 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:151 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:155 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:151 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:254 [2] prepare_pullback(f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:17 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:9 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:317 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] newton_raphson_oop(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:21 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, false, Vector{Float64}, SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##0", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:13 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:134 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:147 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:151 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:155 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:180 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{3}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:164 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:177 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:180 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:184 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 Error in testset "method: BackTracking" on worker 257: Error During Test at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:180 Got exception outside of a @test MethodError: no method matching _prepare_pullback_aux(::Val{false}, ::DifferentiationInterface.PullbackFast, ::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, ::Vector{Float64}, ::ADTypes.AutoEnzyme{Nothing, Nothing}, ::Vector{Float64}, ::Tuple{Vector{Float64}}, ::DifferentiationInterface.Constant{Vector{Float64}}) The function `_prepare_pullback_aux` exists, but no method is defined for this combination of argument types. The autodiff backend you chose may not be compatible with the operation you want to perform. Please refer to the documentation of DifferentiationInterface.jl and open an issue if necessary. Closest candidates are: _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, ::Any, ::ADTypes.AbstractADType, ::Any, ::NTuple{N, T} where {N, T}, ::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:290 _prepare_pullback_aux(::Val, !Matched::DifferentiationInterface.PullbackSlow, ::F, !Matched::ADTypes.AbstractADType, ::Any, !Matched::NTuple{N, T} where {N, T}, !Matched::DifferentiationInterface.Context...) where {F, C} @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:273 Stacktrace: [1] prepare_pullback_nokwarg(strict::Val{false}, f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:268 [2] prepare_pullback(f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}; strict::Val{false}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:29 [3] kwcall(::@NamedTuple{strict::Val{false}}, ::typeof(DifferentiationInterface.prepare_pullback), f!::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, y::Vector{Float64}, backend::ADTypes.AutoEnzyme{Nothing, Nothing}, x::Vector{Float64}, ty::Tuple{Vector{Float64}}, contexts::DifferentiationInterface.Constant{Vector{Float64}}) @ DifferentiationInterface ~/.julia/packages/DifferentiationInterface/zJHX8/src/first_order/pullback.jl:20 [4] prepare_vjp(::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:310 [5] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.prepare_vjp), ::Val{false}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, f::SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, u::Vector{Float64}, fu::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:286 [6] SciMLJacobianOperators.JacobianOperator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; jvp_autodiff::Nothing, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, skip_vjp::Val{false}, skip_jvp::Val{true}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:124 [7] kwcall(::@NamedTuple{skip_jvp::Val{true}, vjp_autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::Type{SciMLJacobianOperators.JacobianOperator}, prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:115 [8] VecJacOperator(::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}, kwargs::@Kwargs{}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:182 [9] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(SciMLJacobianOperators.VecJacOperator), ::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ::Vararg{Any}) @ SciMLJacobianOperators ~/.julia/packages/SciMLJacobianOperators/g9EEl/src/SciMLJacobianOperators.jl:181 [10] construct_jvp_or_vjp_operator(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}; autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:29 [11] kwcall(::@NamedTuple{autodiff::ADTypes.AutoEnzyme{Nothing, Nothing}}, ::typeof(LineSearch.construct_jvp_or_vjp_operator), prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/utils.jl:14 [12] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}; stats::Nothing, autodiff::Nothing, kwargs::@Kwargs{}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:62 [13] init(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, alg::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}, fu::Vector{Float64}, u::Vector{Float64}) @ LineSearch ~/.julia/packages/LineSearch/Ky1ZB/src/backtracking.jl:56 [14] newton_raphson_iip(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:50 [15] newton_raphson(prob::SciMLBase.NonlinearProblem{Vector{Float64}, true, Vector{Float64}, SciMLBase.NonlinearFunction{true, SciMLBase.FullSpecialize, Main.var"##Native Line Search: Newton Raphson#292".var"#nlf#nlf##1", LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardNonlinearProblem}, ls::LineSearch.BackTracking{ADTypes.AutoEnzyme{Nothing, Nothing}, Float64, Float64, Float64, Val{2}, Float64, Bool}) @ Main.var"##RootFinding#289" ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:11 [16] top-level scope @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:164 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1930 [inlined] [18] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:177 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [20] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:180 [inlined] [21] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2019 [inlined] [22] macro expansion @ ~/.julia/packages/LineSearch/Ky1ZB/test/root_finding_tests.jl:184 [inlined] [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] #73 @ ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [inlined] [25] with_source_path(f::ReTestItems.var"#73#74"{Expr}, path::String) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:935 [26] (::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr})() @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1112 [27] redirect_stdio(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}; stdin::Nothing, stderr::IOContext{IOStream}, stdout::IOContext{IOStream}) @ Base ./stream.jl:1448 [28] redirect_stdio @ ./stream.jl:1411 [inlined] [29] _redirect_logs(f::ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}, target::IOStream) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:124 [30] #_redirect_logs##0 @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [31] open(::ReTestItems.var"#_redirect_logs##0#_redirect_logs##1"{ReTestItems.var"#71#72"{TestItem, String, Expr, Expr}}, ::String, ::Vararg{String}; kwargs::@Kwargs{}) @ Base ./io.jl:420 [32] open @ ./io.jl:417 [inlined] [33] _redirect_logs @ ~/.julia/packages/ReTestItems/3F3Hj/src/log_capture.jl:107 [inlined] [34] macro expansion @ ~/.julia/packages/ReTestItems/3F3Hj/src/macros.jl:82 [inlined] [35] runtestitem(ti::TestItem, ctx::ReTestItems.TestContext; test_end_expr::Expr, logs::Symbol, verbose_results::Bool, finish_test::Bool, catch_test_error::Bool, failfast::Bool) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1109 [36] kwcall(::@NamedTuple{test_end_expr::Expr, verbose_results::Bool, logs::Symbol, failfast::Bool}, ::typeof(runtestitem), ti::TestItem, ctx::ReTestItems.TestContext) @ ReTestItems ~/.julia/packages/ReTestItems/3F3Hj/src/ReTestItems.jl:1031 [37] top-level scope @ none:1 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] execute @ ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:334 [inlined] [40] (::ReTestItems.Workers.var"#serve_requests##0#serve_requests##1"{Sockets.TCPSocket, ReentrantLock, ReTestItems.Workers.Request})() @ ReTestItems.Workers ~/.julia/packages/ReTestItems/3F3Hj/src/workers.jl:348 [ Info: All tests on worker 1 completed. Closing Worker(pid=257). Worker 257: [257] signal 15: Terminated [ Tests Completed: 4/4 test items were run. Test Summary: | Pass Error Total Time LineSearch | 216 23 239 17m20.1s test | 216 23 239 test/custom_optimizer_tests.jl | 96 9 105 LineSearches.jl: Custom Optimizer | 1 1 4m16.4s Native Line Search: Custom Optimizer | 96 8 104 8m48.9s OOP Problem | 60 4 64 3m13.4s autodiff = ADTypes.AutoTracker() | 12 12 18.7s autodiff = ADTypes.AutoForwardDiff() | 12 12 6.7s autodiff = ADTypes.AutoZygote() | 12 12 2m18.9s autodiff = ADTypes.AutoEnzyme() | 4 4 10.5s method: LiFukushimaLineSearch | 1 1 9.2s method: NoLineSearch | 1 1 0.3s method: BackTracking | 1 1 0.5s method: BackTracking | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 12 12 10.8s autodiff = ADTypes.AutoFiniteDiff() | 12 12 5.8s In-Place Problem | 36 4 40 23.3s autodiff = ADTypes.AutoForwardDiff() | 12 12 7.5s autodiff = ADTypes.AutoEnzyme() | 4 4 1.8s method: LiFukushimaLineSearch | 1 1 0.7s method: NoLineSearch | 1 1 0.3s method: BackTracking | 1 1 0.4s method: BackTracking | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 12 12 7.7s autodiff = ADTypes.AutoFiniteDiff() | 12 12 6.2s test/root_finding_tests.jl | 120 14 134 LineSearches.jl: Newton Raphson | 80 10 90 2m55.1s OOP Problem | 50 5 55 1m49.3s autodiff = ADTypes.AutoTracker() | 10 10 32.6s autodiff = ADTypes.AutoForwardDiff() | 10 10 17.3s autodiff = ADTypes.AutoZygote() | 10 10 18.3s autodiff = ADTypes.AutoEnzyme() | 5 5 2.3s method: BackTracking | 1 1 0.7s method: StrongWolfe | 1 1 0.4s method: HagerZhang | 1 1 0.4s method: MoreThuente | 1 1 0.4s method: Static | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 10 10 23.0s autodiff = ADTypes.AutoFiniteDiff() | 10 10 15.6s In-Place Problem | 30 5 35 1m05.6s autodiff = ADTypes.AutoForwardDiff() | 10 10 25.2s autodiff = ADTypes.AutoEnzyme() | 5 5 2.2s method: BackTracking | 1 1 0.8s method: StrongWolfe | 1 1 0.4s method: HagerZhang | 1 1 0.4s method: MoreThuente | 1 1 0.4s method: Static | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 10 10 19.2s autodiff = ADTypes.AutoFiniteDiff() | 10 10 18.9s Native Line Search: Newton Raphson | 40 4 44 42.9s OOP Problem | 24 2 26 21.4s method: LiFukushimaLineSearch | 2 2 5.4s method: NoLineSearch | 2 2 0.2s autodiff = ADTypes.AutoTracker() | 4 4 2.0s autodiff = ADTypes.AutoForwardDiff() | 4 4 3.3s autodiff = ADTypes.AutoZygote() | 4 4 4.0s autodiff = ADTypes.AutoEnzyme() | 2 2 1.3s method: BackTracking | 1 1 0.9s method: BackTracking | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 4 4 2.5s autodiff = ADTypes.AutoFiniteDiff() | 4 4 2.7s In-Place Problem | 16 2 18 21.4s method: LiFukushimaLineSearch | 2 2 6.4s method: NoLineSearch | 2 2 0.4s autodiff = ADTypes.AutoForwardDiff() | 4 4 4.8s autodiff = ADTypes.AutoEnzyme() | 2 2 1.3s method: BackTracking | 1 1 0.9s method: BackTracking | 1 1 0.4s autodiff = ADTypes.AutoReverseDiff() | 4 4 4.4s autodiff = ADTypes.AutoFiniteDiff() | 4 4 4.0s ERROR: LoadError: Some tests did not pass: 216 passed, 0 failed, 23 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/LineSearch/Ky1ZB/test/runtests.jl:15 Testing failed after 1098.1s ERROR: LoadError: Package LineSearch errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2673 [3] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2522 [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/v1.13/Pkg/src/API.jl:538 [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/v1.13/Pkg/src/API.jl:515 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [9] test @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [12] include(mod::Module, _path::String) @ Base ./Base.jl:308 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:330 [14] _start() @ Base ./client.jl:563 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1717.4s: package fails to precompile