Package evaluation to test Attractors on Julia 1.14.0-DEV.1730 (9c1e1fa299*) started at 2026-02-17T23:58:43.817 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 12.33s ################################################################################ # Installation # Installing Attractors... Resolving package versions... Installed Attractors ─ v1.31.2 Updating `~/.julia/environments/v1.14/Project.toml` [f3fd9213] + Attractors v1.31.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.22.0 [f3fd9213] + Attractors v1.31.2 [198e06fe] + BangBang v0.4.8 [0e736298] + Bessels v0.2.8 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [a134a8b2] + BlackBoxOptim v0.6.3 [70df07ce] + BracketingNonlinearSolve v1.7.0 [2a0fbf3d] + CPUSummary v0.2.7 [a9c8d775] + CPUTime v1.0.0 [ae650224] + ChunkSplitters v3.2.0 [fb6a15b2] + CloseOpenIntervals v0.1.13 [aaaa29a8] + Clustering v0.15.8 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [ab4b797d] + ComplexityMeasures v3.8.5 [a33af91c] + CompositionsBase v0.1.2 [2569d6c7] + ConcreteStructs v0.2.3 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [717857b8] + DSP v0.8.4 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.3 [5732040d] + DelayEmbeddings v2.9.0 [2b5f629d] + DiffEqBase v6.203.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [6e36e845] + DynamicalSystemsBase v3.15.4 [4e289a0a] + EnumX v1.0.6 [f151be2c] + EnzymeCore v0.8.18 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [7a1cc6ca] + FFTW v1.10.0 [7034ab61] + FastBroadcast v0.3.5 [9aa1b823] + FastClosures v0.3.2 [a4df4552] + FastPower v1.3.1 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 [f6369f11] + ForwardDiff v1.3.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [c8e1da08] + IterTools v1.10.0 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 ⌅ [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [10f19ff3] + LayoutPointers v0.1.17 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v0.3.29 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [d125e4d3] + ManualMemory v0.1.8 [bb5d69b7] + MaybeInplace v0.1.4 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [46d2c3a1] + MuladdMacro v0.2.4 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [b8a86587] + NearestNeighbors v0.4.27 [645ca80c] + Neighborhood v0.2.4 [be0214bd] + NonlinearSolveBase v2.12.0 [67456a42] + OhMyThreads v0.8.5 ⌅ [429524aa] + Optim v1.13.3 [bac558e1] + OrderedCollections v1.8.1 [bbf590c4] + OrdinaryDiffEqCore v3.5.1 [b1df2697] + OrdinaryDiffEqTsit5 v1.9.0 [90014a1f] + PDMats v0.11.37 [69de0a69] + Parsers v2.8.3 [f517fe37] + Polyester v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [f27b6e38] + Polynomials v4.1.0 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v1.1.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.48.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v2.2.10 [7e49a35a] + RuntimeGeneratedFunctions v0.5.17 [94e857df] + SIMDTypes v0.1.0 [0bca4576] + SciMLBase v2.138.1 [19f34311] + SciMLJacobianOperators v0.1.12 [a6db7da4] + SciMLLogging v1.8.0 [c0aeaf25] + SciMLOperators v1.15.1 [431bcebd] + SciMLPublic v1.0.1 [53ae85a6] + SciMLStructures v1.10.0 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [d4ead438] + SpatialIndexing v0.1.6 [276daf66] + SpecialFunctions v2.7.1 [91464d47] + StableTasks v0.1.7 [40b095a5] + StateSpaceSets v2.5.3 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.9.0 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.10 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [2efcf032] + SymbolicIndexingInterface v0.3.46 [ed4db957] + TaskLocalValues v0.1.3 [8290d209] + ThreadingUtilities v0.5.5 [a759f4b9] + TimerOutputs v0.5.29 [781d530d] + TruncatedStacktraces v1.4.0 [29a6e085] + Wavelets v0.10.1 [f5851436] + FFTW_jll v3.3.11+0 [1d5cc7b8] + IntelOpenMP_jll v2025.2.0+0 [856f044c] + MKL_jll v2025.2.0+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [1317d2d5] + oneTBB_jll v2022.0.0+1 [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 v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [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 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [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 v8.18.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.30+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.5+0 [efcefdf7] + PCRE2_jll v10.47.0+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 v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+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` Installation completed after 6.29s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 9667.7 ms ✓ BlackBoxOptim 13208.4 ms ✓ Attractors 2 dependencies successfully precompiled in 27 seconds. 236 already precompiled. Precompilation completed after 48.64s ################################################################################ # Testing # Testing Attractors Status `/tmp/jl_hS2Ya4/Project.toml` [f3fd9213] Attractors v1.31.2 [ab4b797d] ComplexityMeasures v3.8.5 [79d7bb75] OrdinaryDiffEqVerner v1.11.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_hS2Ya4/Manifest.toml` [47edcb42] ADTypes v1.21.0 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.22.0 [f3fd9213] Attractors v1.31.2 [198e06fe] BangBang v0.4.8 [0e736298] Bessels v0.2.8 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [a134a8b2] BlackBoxOptim v0.6.3 [70df07ce] BracketingNonlinearSolve v1.7.0 [2a0fbf3d] CPUSummary v0.2.7 [a9c8d775] CPUTime v1.0.0 [ae650224] ChunkSplitters v3.2.0 [fb6a15b2] CloseOpenIntervals v0.1.13 [aaaa29a8] Clustering v0.15.8 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [ab4b797d] ComplexityMeasures v3.8.5 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [717857b8] DSP v0.8.4 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.19.3 [5732040d] DelayEmbeddings v2.9.0 [2b5f629d] DiffEqBase v6.203.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [6e36e845] DynamicalSystemsBase v3.15.4 [4e289a0a] EnumX v1.0.6 [f151be2c] EnzymeCore v0.8.18 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.10.0 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.3.1 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 [f6369f11] ForwardDiff v1.3.2 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [c8e1da08] IterTools v1.10.0 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.1 ⌅ [682c06a0] JSON v0.21.4 [ae98c720] Jieko v0.2.1 [10f19ff3] LayoutPointers v0.1.17 ⌃ [d3d80556] LineSearches v7.5.1 [2ab3a3ac] LogExpFunctions v0.3.29 [e6f89c97] LoggingExtras v1.2.0 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [bb5d69b7] MaybeInplace v0.1.4 [e1d29d7a] Missings v1.2.0 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [b8a86587] NearestNeighbors v0.4.27 [645ca80c] Neighborhood v0.2.4 [be0214bd] NonlinearSolveBase v2.12.0 [67456a42] OhMyThreads v0.8.5 ⌅ [429524aa] Optim v1.13.3 [bac558e1] OrderedCollections v1.8.1 [bbf590c4] OrdinaryDiffEqCore v3.5.1 [b1df2697] OrdinaryDiffEqTsit5 v1.9.0 [79d7bb75] OrdinaryDiffEqVerner v1.11.0 [90014a1f] PDMats v0.11.37 [69de0a69] Parsers v2.8.3 [f517fe37] Polyester v0.7.19 [1d0040c9] PolyesterWeave v0.2.2 [f27b6e38] Polynomials v4.1.0 [85a6dd25] PositiveFactorizations v0.2.4 [d236fae5] PreallocationTools v1.1.2 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [731186ca] RecursiveArrayTools v3.48.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [f2b01f46] Roots v2.2.10 [7e49a35a] RuntimeGeneratedFunctions v0.5.17 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.138.1 [19f34311] SciMLJacobianOperators v0.1.12 [a6db7da4] SciMLLogging v1.8.0 [c0aeaf25] SciMLOperators v1.15.1 [431bcebd] SciMLPublic v1.0.1 [53ae85a6] SciMLStructures v1.10.0 [7e506255] ScopedValues v1.5.0 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.2 [d4ead438] SpatialIndexing v0.1.6 [276daf66] SpecialFunctions v2.7.1 [91464d47] StableTasks v0.1.7 [40b095a5] StateSpaceSets v2.5.3 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.10 [4c63d2b9] StatsFuns v1.5.2 [7792a7ef] StrideArraysCore v0.5.8 [2efcf032] SymbolicIndexingInterface v0.3.46 [ed4db957] TaskLocalValues v0.1.3 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [781d530d] TruncatedStacktraces v1.4.0 [29a6e085] Wavelets v0.10.1 [f5851436] FFTW_jll v3.3.11+0 [1d5cc7b8] IntelOpenMP_jll v2025.2.0+0 [856f044c] MKL_jll v2025.2.0+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1317d2d5] oneTBB_jll v2022.0.0+1 [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 v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [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 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v8.18.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.30+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.5+0 [efcefdf7] PCRE2_jll v10.47.0+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 v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+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... Mapping initial conditions to attractors: 0%| | ETA: 0:10:03 Mapping initial conditions to attractors: 100%|██████████| Time: 0:00:01 Mapping initial conditions to attractors: 0%| | ETA: 0:01:40 Mapping initial conditions to attractors: 100%|██████████| Time: 0:00:00 Mapping initial conditions to attractors: 0%| | ETA: 0:09:18 Mapping initial conditions to attractors: 100%|██████████| Time: 0:00:01 Recurrences: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:71 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#dumb_map#dumb_map##1", Vector{Float64}}, grid_nfo::Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#dumb_map#dumb_map##1", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#dumb_map#dumb_map##1", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] test_basins(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#dumb_map#dumb_map##1", Vector{Float64}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::var"#featurizer#featurizer##1"; rerr::Float64, ferr::Float64, aerr::Float64, ε::Float64, max_distance::Int64, proximity_test::Bool, pairwise_comparison_matrix_test::Bool, featurizer_matrix::Nothing, threshold_pairwise::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [7] kwcall(::@NamedTuple{max_distance::Int64, ε::Float64, proximity_test::Bool, threshold_pairwise::Int64, rerr::Float64, ferr::Float64, aerr::Float64}, ::typeof(test_basins), ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#dumb_map#dumb_map##1", Vector{Float64}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::Function) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:16 [8] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:148 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [10] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:170 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] IncludeInto @ ./Base.jl:311 [inlined] [13] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [16] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [17] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [19] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [21] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:19 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ none:6 [24] eval(m::Module, e::Any) @ Core ./boot.jl:489 [25] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [26] _start() @ Base ./client.jl:585 Recurrences: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:71 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#henon_rule#henon_rule##2", Vector{Float64}}, grid_nfo::Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#henon_rule#henon_rule##2", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#henon_rule#henon_rule##2", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] test_basins(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#henon_rule#henon_rule##2", Vector{Float64}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::var"#featurizer#featurizer##2"; rerr::Float64, ferr::Float64, aerr::Float64, ε::Float64, max_distance::Int64, proximity_test::Bool, pairwise_comparison_matrix_test::Bool, featurizer_matrix::Nothing, threshold_pairwise::Int64, kwargs::@Kwargs{}) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [7] kwcall(::@NamedTuple{max_distance::Int64, ε::Float64, proximity_test::Bool, threshold_pairwise::Int64}, ::typeof(test_basins), ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#henon_rule#henon_rule##2", Vector{Float64}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::Function) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:16 [8] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:178 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [10] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:190 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] IncludeInto @ ./Base.jl:311 [inlined] [13] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [16] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [17] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [19] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [21] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:19 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ none:6 [24] eval(m::Module, e::Any) @ Core ./boot.jl:489 [25] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [26] _start() @ Base ./client.jl:585 Recurrences: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:71 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::ProjectedDynamicalSystem{SVector{2, Int64}, 2, Vector{Float64}, Vector{Int64}, CoupledODEs{false, 4, OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{4, Float64}, Nothing, Float64, MagneticPendulumParams, Float64, Float64, Float64, Float64, Vector{SVector{4, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{4, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{4, Float64}, Tuple{Float64, Float64}, false, MagneticPendulumParams, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{4, Float64}}, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{4, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, MagneticPendulumParams}}, grid_nfo::Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Float64, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::ProjectedDynamicalSystem{SVector{2, Int64}, 2, Vector{Float64}, Vector{Int64}, CoupledODEs{false, 4, OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{4, Float64}, Nothing, Float64, MagneticPendulumParams, Float64, Float64, Float64, Float64, Vector{SVector{4, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{4, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{4, Float64}, Tuple{Float64, Float64}, false, MagneticPendulumParams, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{4, Float64}}, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{4, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, MagneticPendulumParams}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Float64, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{Δt::Float64}, ::Type{AttractorsViaRecurrences}, ds::ProjectedDynamicalSystem{SVector{2, Int64}, 2, Vector{Float64}, Vector{Int64}, CoupledODEs{false, 4, OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{4, Float64}, Nothing, Float64, MagneticPendulumParams, Float64, Float64, Float64, Float64, Vector{SVector{4, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{4, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{4, Float64}, Tuple{Float64, Float64}, false, MagneticPendulumParams, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{4, Float64}}, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{4, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, MagneticPendulumParams}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] test_basins(ds::ProjectedDynamicalSystem{SVector{2, Int64}, 2, Vector{Float64}, Vector{Int64}, CoupledODEs{false, 4, OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{4, Float64}, Nothing, Float64, MagneticPendulumParams, Float64, Float64, Float64, Float64, Vector{SVector{4, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{4, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{4, Float64}, Tuple{Float64, Float64}, false, MagneticPendulumParams, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{4, Float64}}, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{4, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, MagneticPendulumParams}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::var"#featurizer#featurizer##3"; rerr::Float64, ferr::Float64, aerr::Float64, ε::Float64, max_distance::Float64, proximity_test::Bool, pairwise_comparison_matrix_test::Bool, featurizer_matrix::Function, threshold_pairwise::Int64, kwargs::@Kwargs{Δt::Float64}) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:72 [7] kwcall(::@NamedTuple{ε::Float64, Δt::Float64, ferr::Float64, featurizer_matrix::var"#featurizer_matrix#featurizer_matrix##0", pairwise_comparison_matrix_test::Bool, threshold_pairwise::Int64}, ::typeof(test_basins), ds::ProjectedDynamicalSystem{SVector{2, Int64}, 2, Vector{Float64}, Vector{Int64}, CoupledODEs{false, 4, OrdinaryDiffEqCore.ODEIntegrator{Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{4, Float64}, Nothing, Float64, MagneticPendulumParams, Float64, Float64, Float64, Float64, Vector{SVector{4, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{4, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{4, Float64}, Tuple{Float64, Float64}, false, MagneticPendulumParams, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, Vern9{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{4, Float64}}, Vector{Float64}, Vector{Vector{SVector{4, Float64}}}, Nothing, OrdinaryDiffEqVerner.Vern9ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#magnetic_pendulum_rule#magnetic_pendulum_rule##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqVerner.Vern9ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{4, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, MagneticPendulumParams}}, u0s::Vector{Pair{Int64, Vector{Float64}}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, expected_fs_raw::Dict{Int64, Float64}, featurizer::Function) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:16 [8] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:197 [9] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [10] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:246 [inlined] [11] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [12] IncludeInto @ ./Base.jl:311 [inlined] [13] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [16] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [17] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [19] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [21] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:19 [inlined] [22] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [23] top-level scope @ none:6 [24] eval(m::Module, e::Any) @ Core ./boot.jl:489 [25] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [26] _start() @ Base ./client.jl:585 Basins of Attraction: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:355 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#map_3_states#map_3_states##0", Nothing}, grid_nfo::Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#map_3_states#map_3_states##0", Nothing}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#map_3_states#map_3_states##0", Nothing}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:359 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/attractor_mapping.jl:371 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:19 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 regular fail: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:49 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid_nfo::Attractors.RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Float64, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Float64, Δt::Float64, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{Dt::Float64, sparse::Bool, force_non_adaptive::Bool, consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}, ::Type{AttractorsViaRecurrences}, ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] (::var"#test_grid#test_grid##0"{Vector{Float64}})(grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, bool::Bool) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:37 [5] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:26 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:50 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:50 [inlined] [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] IncludeInto @ ./Base.jl:311 [inlined] [12] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [15] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [16] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [18] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [20] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:22 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ none:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [25] _start() @ Base ./client.jl:585 irregular: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:53 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, Attractors.IrregularGrid{2, Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid_nfo::Attractors.IrregularGrid{2, Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}}, Δtt::Float64, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Float64, Δt::Float64, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{Dt::Float64, sparse::Bool, force_non_adaptive::Bool, consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}, ::Type{AttractorsViaRecurrences}, ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] (::var"#test_grid#test_grid##0"{Vector{Float64}})(grid::Tuple{Vector{Float64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, bool::Bool) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:37 [5] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:26 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:54 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:54 [inlined] [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] IncludeInto @ ./Base.jl:311 [inlined] [12] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [15] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [16] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [18] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [20] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:22 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ none:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [25] _start() @ Base ./client.jl:585 subdivision: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:57 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, SubdivisionBasedGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid_nfo::SubdivisionBasedGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Float64, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::SubdivisionBasedGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Float64, Δt::Float64, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{Dt::Float64, sparse::Bool, force_non_adaptive::Bool, consecutive_recurrences::Int64, attractor_locate_steps::Int64, store_once_per_cell::Bool, maximum_iterations::Int64}, ::Type{AttractorsViaRecurrences}, ds::CoupledODEs{false, 2, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{2, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{2, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{2, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{2, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{2, Float64}}, Vector{Float64}, Vector{Vector{SVector{2, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#predator_prey_fastslow#predator_prey_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{2, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::SubdivisionBasedGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] (::var"#test_grid#test_grid##0"{Vector{Float64}})(grid::SubdivisionBasedGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, bool::Bool) @ Main ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:37 [5] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:26 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:58 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/mapping/irregular_grid.jl:58 [inlined] [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] IncludeInto @ ./Base.jl:311 [inlined] [12] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [15] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [16] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [17] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [18] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:16 [inlined] [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [20] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:22 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [22] top-level scope @ none:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [25] _start() @ Base ./client.jl:585 original paper: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:19 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:20 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:23 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:26 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:27 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 Newton map: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:30 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#newton_map#newton_map##0", Vector{Int64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#newton_map#newton_map##0", Vector{Int64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#newton_map#newton_map##0", Vector{Int64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:32 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:45 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:26 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:27 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 Basin entropy and Fractal test: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:54 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#grebogi_map_rule#grebogi_map##0", @NamedTuple{a::Float64, b::Float64, J₀::Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:55 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/basins/uncertainty_tests.jl:58 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:26 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:27 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 convergence_and_basins_of_attraction(mapper::AttractorMapper): Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/basins/basins_utilities.jl:4 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 1, Attractors.SparseArray{Int64, 1}, RegularGrid{1, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{1, Float64, SVector{1, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{1}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 1, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{1, Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{SVector{1, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{1, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{1, Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{1, Float64}}, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{1, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, SciMLBase.NullParameters}, grid_nfo::RegularGrid{1, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 1, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{1, Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{SVector{1, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{1, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{1, Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{1, Float64}}, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{1, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, SciMLBase.NullParameters}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] AttractorsViaRecurrences(ds::CoupledODEs{false, 1, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{1, Float64}, Nothing, Float64, SciMLBase.NullParameters, Float64, Float64, Float64, Float64, Vector{SVector{1, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{1, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{1, Float64}, Tuple{Float64, Float64}, false, SciMLBase.NullParameters, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{1, Float64}}, Vector{Float64}, Vector{Vector{SVector{1, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#test_ds#test_ds##0", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{1, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, SciMLBase.NullParameters}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/basins/basins_utilities.jl:7 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/basins/basins_utilities.jl:12 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:26 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:29 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 Continuing attractors and basins: 50%|█████████ | ETA: 0:00:00 Continuing attractors and basins: 100%|██████████████████| Time: 0:00:00 analytic bistable map: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:8 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##2", Vector{Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##2", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{show_progress::Bool}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool, show_progress::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##2", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:11 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:33 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:33 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:34 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 Multistable aggregating map: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:67 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##3", Vector{Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##3", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{show_progress::Bool}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool, show_progress::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##3", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:70 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/continuation/recurrences_continuation.jl:139 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:33 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:34 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 analytic bistable: featurizing: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/continuation/seed_continue_generic.jl:7 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Attractors.SparseArray{Int64, 2}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##5", Vector{Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##5", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{show_progress::Bool}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool, show_progress::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{true, Vector{Float64}, 2, var"#dumb_map#dumb_map##5", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/continuation/seed_continue_generic.jl:10 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/continuation/seed_continue_generic.jl:32 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:33 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:36 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 I = 0.0 I = 2.0 Continuing attractors and basins: 67%|████████████ | ETA: 0:00:01I = 4.0 Continuing attractors and basins: 100%|██████████████████| Time: 0:00:02 Newton 2d: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:5 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#newton_map#newton_map##3", Vector{Float64}}, grid_nfo::RegularGrid{2, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#newton_map#newton_map##3", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{consecutive_lost_steps::Int64}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool, consecutive_lost_steps::Int64}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, var"#newton_map#newton_map##3", Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:7 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:19 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:40 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:40 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 3D symmetry: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:169 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 3, Attractors.SparseArray{Int64, 3}, RegularGrid{3, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{3, Float64, SVector{3, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{3}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid_nfo::RegularGrid{3, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] AttractorsViaRecurrences(ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, SciMLBase.ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, SciMLBase.ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, SciMLBase.ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##1", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, SciMLBase.CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:170 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/nonlocal/mfstest.jl:184 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:40 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:40 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 WARNING: Method definition dumb_map(Any, Any, Any) in module Main at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/basins_of_attraction.jl:5 overwritten at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/stability_measures_accumulator.jl:8. Stability measures accumulator: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/runtests.jl:10 Got exception outside of a @test LoadError: MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 2, Matrix{Int64}, IrregularGrid{2, Tuple{Vector{Int64}, Vector{Int64}}}, Int64, StateSpaceSet{2, Float64, SVector{2, Float64}}}, ::Int64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{2}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, typeof(dumb_map), Vector{Float64}}, grid_nfo::IrregularGrid{2, Tuple{Vector{Int64}, Vector{Int64}}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, typeof(dumb_map), Vector{Float64}}, grid::Tuple{Vector{Int64}, Vector{Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{sparse::Bool}, ::Type{AttractorsViaRecurrences}, ds::DeterministicIteratedMap{false, SVector{2, Float64}, 2, typeof(dumb_map), Vector{Float64}}, grid::Tuple{Vector{Int64}, Vector{Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/mapping/stability_measures_accumulator.jl:26 [5] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [6] IncludeInto @ ./Base.jl:311 [inlined] [7] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [9] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [10] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [11] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [12] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [13] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:40 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:41 [inlined] [16] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [17] top-level scope @ none:6 [18] eval(m::Module, e::Any) @ Core ./boot.jl:489 [19] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [20] _start() @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/Attractors/JorT1/test/mapping/stability_measures_accumulator.jl:26 ┌ Warning: Shifting new point slightly because AttractorMapper returned -1 └ @ Attractors ~/.julia/packages/Attractors/JorT1/src/boundaries/edgetracking.jl:288 Edge-tracking converged after 23 iterations. Edge-tracking converged after 17 iterations. Thomas' rule: Error During Test at /home/pkgeval/.julia/packages/Attractors/JorT1/test/boundaries/edgetracking_tests.jl:32 Got exception outside of a @test MethodError: no method matching Attractors.BasinsInfo(::ArrayBasinsOfAttraction{Int64, 3, Attractors.SparseArray{Int64, 3}, RegularGrid{3, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Int64, StateSpaceSet{3, Float64, SVector{3, Float64}}}, ::Float64, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Vector{CartesianIndex{3}}, ::Symbol, ::Bool) The type `Attractors.BasinsInfo` exists, but no method is defined for this combination of argument types when trying to construct it. Closest candidates are: Attractors.BasinsInfo(!Matched::A, ::Δ, ::Symbol, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Int64, ::Array{CartesianIndex{D}, 1}, ::Symbol, ::Bool) where {D, Δ, T, V, G<:Attractors.Grid, B<:AbstractArray{Int64, D}, A<:ArrayBasinsOfAttraction{Int64, D, B, T, V, G}} @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:254 Stacktrace: [1] initialize_basin_info(ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid_nfo::RegularGrid{3, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}, Δtt::Nothing, sparse::Bool, stop_at_Δt::Bool) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:295 [2] AttractorsViaRecurrences(ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}; Dt::Nothing, Δt::Nothing, sparse::Bool, force_non_adaptive::Bool, stop_at_Δt::Bool, kwargs::@Kwargs{consecutive_recurrences::Int64}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:153 [3] kwcall(::@NamedTuple{consecutive_recurrences::Int64}, ::Type{AttractorsViaRecurrences}, ds::CoupledODEs{false, 3, OrdinaryDiffEqCore.ODEIntegrator{OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, false, SVector{3, Float64}, Nothing, Float64, Vector{Float64}, Float64, Float64, Float64, Float64, Vector{SVector{3, Float64}}, ODESolution{Float64, 2, Vector{SVector{3, Float64}}, Nothing, Nothing, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, ODEProblem{SVector{3, Float64}, Tuple{Float64, Float64}, false, Vector{Float64}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, @Kwargs{}, SciMLBase.StandardODEProblem}, OrdinaryDiffEqTsit5.Tsit5{typeof(OrdinaryDiffEqCore.trivial_limiter!), typeof(OrdinaryDiffEqCore.trivial_limiter!), Static.False}, OrdinaryDiffEqCore.InterpolationData{ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, Vector{SVector{3, Float64}}, Vector{Float64}, Vector{Vector{SVector{3, Float64}}}, Nothing, OrdinaryDiffEqTsit5.Tsit5ConstantCache, Nothing}, SciMLBase.DEStats, Nothing, Nothing, Nothing, Nothing}, ODEFunction{false, SciMLBase.AutoSpecialize, var"#thomas_rule#thomas_rule##2", UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, OrdinaryDiffEqTsit5.Tsit5ConstantCache, OrdinaryDiffEqCore.DEOptions{Float64, Float64, Float64, Float64, OrdinaryDiffEqCore.PIController{Float64}, typeof(DiffEqBase.ODE_DEFAULT_NORM), typeof(opnorm), Bool, CallbackSet{Tuple{}, Tuple{}}, typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, DataStructures.BinaryHeap{Float64, DataStructures.FasterForward}, Nothing, Nothing, Float64, Tuple{}, Tuple{}, Tuple{}, OrdinaryDiffEqCore.DEVerbosity{SciMLLogging.Minimal, SciMLLogging.Minimal, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.WarnLevel, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent, SciMLLogging.Silent}}, SVector{3, Float64}, Float64, Nothing, DiffEqBase.DefaultInit, Nothing, OrdinaryDiffEqCore.PIController{Float64}}, Vector{Float64}}, grid::Tuple{StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}, StepRangeLen{Float64, Base.TwicePrecision{Float64}, Base.TwicePrecision{Float64}, Int64}}) @ Attractors ~/.julia/packages/Attractors/JorT1/src/mapping/recurrences/attractor_mapping_recurrences.jl:133 [4] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/boundaries/edgetracking_tests.jl:34 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [6] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/boundaries/edgetracking_tests.jl:47 [inlined] [7] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [8] IncludeInto @ ./Base.jl:311 [inlined] [9] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [inlined] [10] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [11] testfile(file::String, testname::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:11 [12] testfile(file::String) @ Main ~/.julia/packages/Attractors/JorT1/test/runtests.jl:10 [13] top-level scope @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:15 [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [15] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:45 [inlined] [16] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [17] macro expansion @ ~/.julia/packages/Attractors/JorT1/test/runtests.jl:45 [inlined] [18] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [19] top-level scope @ none:6 [20] eval(m::Module, e::Any) @ Core ./boot.jl:489 [21] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [22] _start() @ Base ./client.jl:585 Test Summary: | Pass Error Total Time Attractors.jl | 427 18 445 5m30.0s mapping | 108 7 115 2m25.2s Grouping | 0 0.8s Recurrence | 0 0.2s Proximity | 13 13 27.2s Attractor mapping | 68 4 72 1m39.2s Analytic dummy map | 16 1 17 36.4s Recurrences | 1 1 4.8s Featurizing, clustering | 5 5 11.4s Featurizing, pairwise comparison | 5 5 3.4s Featurizing, nearest feature | 6 6 4.0s Henon map: discrete & divergence | 19 1 20 15.3s Recurrences | 1 1 0.1s Featurizing, clustering | 6 6 5.6s Featurizing, pairwise comparison | 6 6 2.2s Featurizing, nearest feature | 7 7 2.6s Magnetic pendulum: projected system | 33 1 34 42.6s Recurrences | 1 1 0.3s Featurizing, clustering | 8 8 6.5s Featurizing, pairwise comparison | 8 8 5.8s Featurizing, pairwise comparison, matrix features | 8 8 6.4s Featurizing, nearest feature | 9 9 6.4s Basins of Attraction | 1 1 0.6s Basins of attraction | 14 14 3.0s Histogram grouping | 4 4 2.2s Irregular grid | 9 3 12 12.2s Different grids | 3 3 8.3s regular fail | 1 1 1.0s irregular | 1 1 1.0s subdivision | 1 1 1.1s basin cell index | 6 6 1.2s automatic Δt | 3 3 2.6s basins analysis | 13 4 17 21.7s Tipping points tests | 9 9 3.4s Uncertainty tests | 1 3 4 1.5s original paper | 1 1 0.4s Newton map | 1 1 0.5s Basin entropy and Fractal test | 1 1 0.0s Basin entropy API | 1 1 0.5s Wada tests | 3 3 12.6s Basins utilities | 1 1 4.3s convergence_and_basins_of_attraction(mapper::AttractorMapper) | 1 1 4.3s continuation | 265 3 268 36.4s Matching attractors | 129 129 24.9s Recurrences continuation | 2 2 1.0s analytic bistable map | 1 1 0.4s Multistable aggregating map | 1 1 0.5s Grouping continuation | 132 132 4.2s Seed continue generic | 4 1 5 6.3s analytic bistable: featurizing | 1 1 0.4s parameter dependent ic | 4 4 5.8s nonlocal stab | 2 3 5 1m02.2s Mfstest | 2 2 4 1m01.5s Newton 2d | 1 1 0.4s Magnetic 2D | 2 2 55.3s 3D symmetry | 1 1 5.6s Stability measures accumulator | 1 1 0.7s boundaries | 39 1 40 1m04.4s Edgetracking tests | 3 1 4 55.8s Saddle point of cubic map | 1 1 3.6s Saddle point of FitzHugh-Nagumo system | 2 2 42.3s Thomas' rule | 1 1 9.9s Stagger tests | 36 36 8.5s RNG of the outermost testset: Xoshiro(0x32062e968015f8ff, 0x83ec4d45bf980cee, 0x6af2d88f413b1bb1, 0x8c076b68880f15b0, 0xa8bd410fbd6f420e) ERROR: LoadError: Some tests did not pass: 427 passed, 0 failed, 18 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/Attractors/JorT1/test/runtests.jl:14 Testing failed after 340.95s ERROR: LoadError: Package Attractors errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 425.77s: package tests unexpectedly errored