Package evaluation to test IterativeLQR on Julia 1.12.4 (01a2eadb04*) started at 2026-01-09T07:46:16.516 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.24s ################################################################################ # Installation # Installing IterativeLQR... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [605048dd] + IterativeLQR v0.2.3 Updating `~/.julia/environments/v1.12/Manifest.toml` ⌅ [47edcb42] + ADTypes v0.2.7 ⌅ [c3fe647b] + AbstractAlgebra v0.27.10 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.43 ⌅ [79e6a3ab] + Adapt v3.7.2 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 ⌃ [4fba245c] + ArrayInterface v7.7.1 [30b0a656] + ArrayInterfaceCore v0.1.29 ⌅ [15f4f7f2] + AutoHashEquals v0.2.0 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 ⌅ [e2ed5e7c] + Bijections v0.1.10 [d360d2e6] + ChainRulesCore v1.26.0 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.6 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 ⌅ [187b0558] + ConstructionBase v1.5.6 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 ⌅ [5b8099bc] + DomainSets v0.5.14 ⌅ [7c1d4256] + DynamicPolynomials v0.4.6 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [5789e2e9] + FileIO v1.17.1 [1a297f60] + FillArrays v1.15.0 [59287772] + Formatting v0.4.3 ⌅ [f6369f11] + ForwardDiff v0.10.39 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 ⌅ [46192b85] + GPUArraysCore v0.1.5 ⌅ [0b43b601] + Groebner v0.2.11 ⌅ [d5909c97] + GroupsCore v0.4.2 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [22cec73e] + InitialValues v0.3.1 [18e54dd8] + IntegerMathUtils v0.1.3 [8197267c] + IntervalSets v0.7.13 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [605048dd] + IterativeLQR v0.2.3 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.4.55 [692b3bcd] + JLLWrappers v1.7.1 [b964fa9f] + LaTeXStrings v1.4.0 ⌃ [2ee39098] + LabelledArrays v1.15.1 ⌅ [984bce1d] + LambertW v0.4.6 ⌅ [23fbe1c1] + Latexify v0.15.21 [2ab3a3ac] + LogExpFunctions v0.3.29 [1914dd2f] + MacroTools v0.5.16 ⌅ [e9d8d322] + Metatheory v1.3.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 ⌅ [102ac46a] + MultivariatePolynomials v0.4.7 [d8a4904e] + MutableArithmetics v1.6.7 [77ba4419] + NaNMath v1.1.3 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.37 [d96e819e] + Parameters v0.12.3 ⌅ [d236fae5] + PreallocationTools v0.4.24 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [27ebfcd6] + Primes v0.5.7 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [fb686558] + RandomExtensions v0.4.4 [3cdcf5f2] + RecipesBase v1.3.4 ⌅ [731186ca] + RecursiveArrayTools v2.38.10 [189a3867] + Reexport v1.2.2 [42d2dcc6] + Referenceables v0.1.3 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.16 ⌅ [0bca4576] + SciMLBase v1.98.1 ⌅ [c0aeaf25] + SciMLOperators v0.3.12 [6c6a2e73] + Scratch v1.3.0 [efcf1570] + Setfield v1.1.2 [66db9d55] + SnoopPrecompile v1.0.3 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.9 [4c63d2b9] + StatsFuns v1.5.2 ⌅ [2efcf032] + SymbolicIndexingInterface v0.2.2 ⌅ [d1185830] + SymbolicUtils v0.19.11 ⌅ [0c5d862f] + Symbolics v4.14.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 ⌅ [8ea1fca8] + TermInterface v0.2.3 [ac1d9e8a] + ThreadsX v0.1.12 [a759f4b9] + TimerOutputs v0.5.29 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [a2a6695c] + TreeViews v0.3.0 [781d530d] + TruncatedStacktraces v1.4.0 [3a884ed6] + UnPack v1.0.2 [700de1a5] + ZygoteRules v0.2.7 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.12.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.12.1 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.12.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+0 [e37daf67] + LibGit2_jll v1.9.0+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.11.4 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [bea87d4a] + SuiteSparse_jll v7.8.3+2 [83775a58] + Zlib_jll v1.3.1+2 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.64.0+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 7.95s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Error: Failed to use TestEnv.jl; test dependencies will not be precompiled │ exception = │ UndefVarError: `project_rel_path` not defined in `TestEnv` │ Suggestion: this global was defined as `Pkg.Operations.project_rel_path` but not assigned a value. │ Stacktrace: │ [1] get_test_dir(ctx::Pkg.Types.Context, pkgspec::PackageSpec) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:75 │ [2] test_dir_has_project_file │ @ ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:52 [inlined] │ [3] maybe_gen_project_override! │ @ ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/common.jl:83 [inlined] │ [4] activate(pkg::String; allow_reresolve::Bool) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/activate_set.jl:12 │ [5] activate(pkg::String) │ @ TestEnv ~/.julia/packages/TestEnv/iseFl/src/julia-1.11/activate_set.jl:9 │ [6] top-level scope │ @ /PkgEval.jl/scripts/precompile.jl:24 │ [7] include(mod::Module, _path::String) │ @ Base ./Base.jl:306 │ [8] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:317 │ [9] _start() │ @ Base ./client.jl:550 └ @ Main /PkgEval.jl/scripts/precompile.jl:26 Precompiling package dependencies... Precompiling packages... 2124.1 ms ✓ Referenceables 7645.5 ms ✓ SciMLOperators 5613.4 ms ✓ Groebner 3319.2 ms ? DomainSets 2075.6 ms ✓ Transducers → TransducersAdaptExt 24988.6 ms ✓ LabelledArrays 2190.4 ms ✓ Transducers → TransducersReferenceablesExt 2220.7 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1631.7 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 7867.5 ms ✓ ThreadsX 17786.7 ms ✓ SciMLBase 25489.4 ms ✓ Metatheory 111457.5 ms ✓ SymbolicUtils 7665.5 ms ? Symbolics 8740.0 ms ? IterativeLQR 12 dependencies successfully precompiled in 233 seconds. 173 already precompiled. 3 dependencies failed but may be precompilable after restarting julia 3 dependencies had output during precompilation: ┌ Symbolics │ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. │ NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Number end`. │ Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. │ WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ ┌ DomainSets │ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. │ NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Number end`. │ Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. │ WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ ┌ IterativeLQR │ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. │ NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Number end`. │ Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. │ WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ Precompilation completed after 244.11s ################################################################################ # Testing # Testing IterativeLQR Status `/tmp/jl_3kwIJE/Project.toml` [6e4b80f9] BenchmarkTools v1.6.3 ⌅ [f6369f11] ForwardDiff v0.10.39 [605048dd] IterativeLQR v0.2.3 ⌅ [0c5d862f] Symbolics v4.14.0 [37e2e46d] LinearAlgebra v1.12.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_3kwIJE/Manifest.toml` ⌅ [47edcb42] ADTypes v0.2.7 ⌅ [c3fe647b] AbstractAlgebra v0.27.10 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.43 ⌅ [79e6a3ab] Adapt v3.7.2 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 ⌃ [4fba245c] ArrayInterface v7.7.1 [30b0a656] ArrayInterfaceCore v0.1.29 ⌅ [15f4f7f2] AutoHashEquals v0.2.0 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [6e4b80f9] BenchmarkTools v1.6.3 ⌅ [e2ed5e7c] Bijections v0.1.10 [d360d2e6] ChainRulesCore v1.26.0 [861a8166] Combinatorics v1.1.0 [38540f10] CommonSolve v0.2.6 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.1 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 ⌅ [187b0558] ConstructionBase v1.5.6 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 ⌅ [5b8099bc] DomainSets v0.5.14 ⌅ [7c1d4256] DynamicPolynomials v0.4.6 [4e289a0a] EnumX v1.0.5 [e2ba6199] ExprTools v0.1.10 [5789e2e9] FileIO v1.17.1 [1a297f60] FillArrays v1.15.0 [59287772] Formatting v0.4.3 ⌅ [f6369f11] ForwardDiff v0.10.39 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [46192b85] GPUArraysCore v0.1.5 ⌅ [0b43b601] Groebner v0.2.11 ⌅ [d5909c97] GroupsCore v0.4.2 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [22cec73e] InitialValues v0.3.1 [18e54dd8] IntegerMathUtils v0.1.3 [8197267c] IntervalSets v0.7.13 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [605048dd] IterativeLQR v0.2.3 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] JLD2 v0.4.55 [692b3bcd] JLLWrappers v1.7.1 [682c06a0] JSON v1.3.0 [b964fa9f] LaTeXStrings v1.4.0 ⌃ [2ee39098] LabelledArrays v1.15.1 ⌅ [984bce1d] LambertW v0.4.6 ⌅ [23fbe1c1] Latexify v0.15.21 [2ab3a3ac] LogExpFunctions v0.3.29 [1914dd2f] MacroTools v0.5.16 ⌅ [e9d8d322] Metatheory v1.3.5 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 ⌅ [102ac46a] MultivariatePolynomials v0.4.7 [d8a4904e] MutableArithmetics v1.6.7 [77ba4419] NaNMath v1.1.3 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.37 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.3 ⌅ [d236fae5] PreallocationTools v0.4.24 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [27ebfcd6] Primes v0.5.7 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [fb686558] RandomExtensions v0.4.4 [3cdcf5f2] RecipesBase v1.3.4 ⌅ [731186ca] RecursiveArrayTools v2.38.10 [189a3867] Reexport v1.2.2 [42d2dcc6] Referenceables v0.1.3 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [7e49a35a] RuntimeGeneratedFunctions v0.5.16 ⌅ [0bca4576] SciMLBase v1.98.1 ⌅ [c0aeaf25] SciMLOperators v0.3.12 [6c6a2e73] Scratch v1.3.0 [efcf1570] Setfield v1.1.2 [66db9d55] SnoopPrecompile v1.0.3 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 [2913bbd2] StatsBase v0.34.9 [4c63d2b9] StatsFuns v1.5.2 [ec057cc2] StructUtils v2.6.1 ⌅ [2efcf032] SymbolicIndexingInterface v0.2.2 ⌅ [d1185830] SymbolicUtils v0.19.11 ⌅ [0c5d862f] Symbolics v4.14.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 ⌅ [8ea1fca8] TermInterface v0.2.3 [ac1d9e8a] ThreadsX v0.1.12 [a759f4b9] TimerOutputs v0.5.29 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [a2a6695c] TreeViews v0.3.0 [781d530d] TruncatedStacktraces v1.4.0 [3a884ed6] UnPack v1.0.2 [700de1a5] ZygoteRules v0.2.7 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.12.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.12.1 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.12.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+0 [e37daf67] LibGit2_jll v1.9.0+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.11.4 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.4+0 [bea87d4a] SuiteSparse_jll v7.8.3+2 [83775a58] Zlib_jll v1.3.1+2 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.64.0+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... Precompiling packages... 2860.1 ms ? DomainSets 20939.5 ms ✓ SciMLBase Info Given Symbolics was explicitly requested, output will be shown live  WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import.  NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.`  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Number end`.  Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 8707.7 ms ? Symbolics 1 dependency successfully precompiled in 36 seconds. 178 already precompiled. 2 dependencies failed but may be precompilable after restarting julia 2 dependencies had output during precompilation: ┌ Symbolics │ [Output was shown above] └ ┌ DomainSets │ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. │ NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Number end`. │ Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. │ WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Number end`. Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. Precompiling packages... Info Given DomainSets was explicitly requested, output will be shown live  WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import.  NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.`  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Number end`.  Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. 2727.3 ms ? DomainSets WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Number end`. Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` NOTE: This behavior may have differed in Julia versions prior to 1.12. Hint: If you intended to create a new generic function of the same name, use `function Number end`. Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. WARNING: Wrapping `Vararg` directly in UnionAll is deprecated (wrap the tuple instead). You may need to write `f(x::Vararg{T})` rather than `f(x::Vararg{<:T})` or `f(x::Vararg{T}) where T` instead of `f(x::Vararg{T} where T)`. To make this warning an error, and hence obtain a stack trace, use `julia --depwarn=error`. Precompiling packages... 5431.1 ms ✓ ArrayInterfaceCore 1 dependency successfully precompiled in 6 seconds. 10 already precompiled. Precompiling packages... 8465.6 ms ✓ SciMLOperators 2322.2 ms ✓ TruncatedStacktraces 1692.5 ms ✓ SciMLOperators → SciMLOperatorsStaticArraysCoreExt 1836.1 ms ✓ SciMLOperators → SciMLOperatorsSparseArraysExt 16077.9 ms ✓ SciMLBase 5 dependencies successfully precompiled in 31 seconds. 61 already precompiled. Precompiling packages... 15630.5 ms ✓ AbstractAlgebra 5230.2 ms ✓ Groebner 2 dependencies successfully precompiled in 21 seconds. 29 already precompiled. 1 dependency had output during precompilation: ┌ AbstractAlgebra │ WARNING: Constructor for type "Matrix" was extended in `AbstractAlgebra` without explicit qualification or import. │ NOTE: Assumed "Matrix" refers to `Base.Matrix`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Matrix end`. │ Hint: To silence the warning, qualify `Matrix` as `Base.Matrix` in the method signature or explicitly `import Base: Matrix`. └ WARNING: Use of Code.get_symbolify is deprecated, use get_rewrites instead. likely near /home/pkgeval/.julia/packages/Symbolics/UrqtQ/src/build_function.jl:130 Precompiling packages... 4501.1 ms ✓ StatsFuns 10266.5 ms ✓ Distributions 2 dependencies successfully precompiled in 16 seconds. 47 already precompiled. Precompiling packages... 1206.7 ms ✓ StatsFuns → StatsFunsInverseFunctionsExt 1 dependency successfully precompiled in 1 seconds. 21 already precompiled. Precompiling packages... 4043.3 ms ✓ StatsFuns → StatsFunsChainRulesCoreExt 1 dependency successfully precompiled in 4 seconds. 24 already precompiled. Precompiling packages... 4268.0 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 5 seconds. 51 already precompiled. Precompiling packages... 6877.4 ms ✓ Distributions → DistributionsChainRulesCoreExt 1 dependency successfully precompiled in 8 seconds. 54 already precompiled. Precompiling packages... 8913.4 ms ✓ Latexify 1 dependency successfully precompiled in 9 seconds. 14 already precompiled. Precompiling packages... 3542.3 ms ? DomainSets 53876.3 ms ✓ JLD2 3118.5 ms ? Symbolics Info Given IterativeLQR was explicitly requested, output will be shown live  ┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-b7f6-a0dba28a05ad is missing from the cache. │ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2641 532.0 ms ? IterativeLQR 1 dependency successfully precompiled in 63 seconds. 184 already precompiled. 2 dependencies precompiled but different versions are currently loaded. Restart julia to access the new versions. Otherwise, loading dependents of these packages may trigger further precompilation to work with the unexpected versions. 3 dependencies failed but may be precompilable after restarting julia 3 dependencies had output during precompilation: ┌ Symbolics │ ┌ Warning: Module DomainSets with build ID ffffffff-ffff-ffff-3493-79b8358523d5 is missing from the cache. │ │ This may mean DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf] does not support precompilation but is imported by a module that does. │ └ @ Base loading.jl:2641 └ ┌ DomainSets │ WARNING: Constructor for type "Number" was extended in `DomainSets` without explicit qualification or import. │ NOTE: Assumed "Number" refers to `Base.Number`. This behavior is deprecated and may differ in future versions.` │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Number end`. │ Hint: To silence the warning, qualify `Number` as `Base.Number` in the method signature or explicitly `import Base: Number`. │ WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /home/pkgeval/.julia/packages/IntervalSets/K4CRG/src/IntervalSets.jl:297 overwritten in module DomainSets at /home/pkgeval/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52. │ ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation. └ ┌ IterativeLQR │ [Output was shown above] └ ┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-b7f6-a0dba28a05ad is missing from the cache. │ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does. └ @ Base loading.jl:2641 Test Summary: | Pass Total Time Objective | 7 7 43.7s Test Summary: | Pass Total Time Dynamics | 4 4 23.1s Test Summary: | Pass Total Time Constraints | 12 12 17.0s ___ _ _ _ _ ___ ___ |_ _| |_ ___ _ _ __ _| |_(_)_ _____| | / _ \| _ \ | || _/ -_) '_/ _` | _| \ V / -_) |_| (_) | / |___|\__\___|_| \__,_|\__|_|\_/\___|____\__\_\_|_\ Taylor Howell and Simon Le Cleac'h Robotic Exploration Lab Stanford University al iter: 1 ___ _ _ _ _ ___ ___ |_ _| |_ ___ _ _ __ _| |_(_)_ _____| | / _ \| _ \ | || _/ -_) '_/ _` | _| \ V / -_) |_| (_) | / |___|\__\___|_| \__,_|\__|_|\_/\___|____\__\_\_|_\ Taylor Howell and Simon Le Cleac'h Robotic Exploration Lab Stanford University iter: 1 cost: 10.872172399145386 gradient_norm: 3.0589313121546553 max_violation: 3.1801160102082346 step_size: 1.0 iter: 2 cost: 6.230478193998407 gradient_norm: 2.3521438134795183 max_violation: 3.14894635880247 step_size: 1.0 iter: 3 cost: 5.477905243471713 gradient_norm: 1.643945355410559 max_violation: 3.1350694477150074 step_size: 1.0 iter: 4 cost: 5.216254352067302 gradient_norm: 1.2452160309275935 max_violation: 3.1280358478512307 step_size: 1.0 iter: 5 cost: 5.095276469422039 gradient_norm: 0.9969187536316961 max_violation: 3.1238042033843865 step_size: 1.0 iter: 6 cost: 5.029578109211356 gradient_norm: 0.8291879129751897 max_violation: 3.1209823163202595 step_size: 1.0 iter: 7 cost: 4.9899694005344 gradient_norm: 0.7088747559527797 max_violation: 3.1189677059874197 step_size: 1.0 iter: 8 cost: 4.964264860612544 gradient_norm: 0.6186014710879131 max_violation: 3.1174579400740416 step_size: 1.0 iter: 9 cost: 4.9466441158027035 gradient_norm: 0.5484764034094485 max_violation: 3.1162847113964047 step_size: 1.0 iter: 10 cost: 4.934041785391972 gradient_norm: 0.49248708241000255 max_violation: 3.11534696695867 step_size: 1.0 iter: 11 cost: 4.924718788209761 gradient_norm: 0.44678090257189 max_violation: 3.114580391112595 step_size: 1.0 iter: 12 cost: 4.917628896169842 gradient_norm: 0.4087805978214867 max_violation: 3.113942113229285 step_size: 1.0 iter: 13 cost: 4.912112084566562 gradient_norm: 0.37669940686649994 max_violation: 3.113402463042932 step_size: 1.0 iter: 14 cost: 4.907735287525935 gradient_norm: 0.34926086725276545 max_violation: 3.1129402562146153 step_size: 1.0 iter: 15 cost: 4.904204807373584 gradient_norm: 0.3255294691331502 max_violation: 3.1125399647577106 step_size: 1.0 iter: 16 cost: 4.901315766399688 gradient_norm: 0.3048043291023462 max_violation: 3.112189948390398 step_size: 1.0 iter: 17 cost: 4.89892172245219 gradient_norm: 0.2865502000769777 max_violation: 3.111881310184995 step_size: 1.0 iter: 18 cost: 4.896915753747114 gradient_norm: 0.2703514072003993 max_violation: 3.1116071337907862 step_size: 1.0 iter: 19 cost: 4.895218319421667 gradient_norm: 0.2558803089665874 max_violation: 3.111361961654111 step_size: 1.0 iter: 20 cost: 4.893769257540403 gradient_norm: 0.24287521838446155 max_violation: 3.1111414298735536 step_size: 1.0 iter: 21 cost: 4.8925223840979015 gradient_norm: 0.2311246379374002 max_violation: 3.110942007462521 step_size: 1.0 iter: 22 cost: 4.891441769863084 gradient_norm: 0.22045580158433475 max_violation: 3.110760806784249 step_size: 1.0 iter: 23 cost: 4.89049912479586 gradient_norm: 0.21072621311908585 max_violation: 3.110595443486277 step_size: 1.0 al iter: 2 iter: 1 cost: 56.30294919893576 gradient_norm: 6.953348044770308 max_violation: 2.9376730908799336 step_size: 1.0 iter: 2 cost: 55.80082200291769 gradient_norm: 3.270694625025696 max_violation: 2.9405188009033987 step_size: 1.0 iter: 3 cost: 55.70865841746051 gradient_norm: 2.136310531317396 max_violation: 2.941299347363871 step_size: 1.0 iter: 4 cost: 55.67638368487018 gradient_norm: 1.5857915402795841 max_violation: 2.9416486052602466 step_size: 1.0 iter: 5 cost: 55.661426863432155 gradient_norm: 1.2607886218179987 max_violation: 2.9418418528631674 step_size: 1.0 iter: 6 cost: 55.65329235991088 gradient_norm: 1.0463308637386608 max_violation: 2.9419625634433673 step_size: 1.0 iter: 7 cost: 55.648382105037356 gradient_norm: 0.894229399909392 max_violation: 2.942044159826145 step_size: 1.0 iter: 8 cost: 55.64519199052063 gradient_norm: 0.7807449256925487 max_violation: 2.9421024744328284 step_size: 1.0 iter: 9 cost: 55.64300288818328 gradient_norm: 0.6928293083292987 max_violation: 2.942145913298704 step_size: 1.0 iter: 10 cost: 55.64143575003613 gradient_norm: 0.6227169051824388 max_violation: 2.942179325562997 step_size: 1.0 iter: 11 cost: 55.64027537054349 gradient_norm: 0.5654973361514815 max_violation: 2.9422056911588585 step_size: 1.0 iter: 12 cost: 55.63939219151564 gradient_norm: 0.5179138162941426 max_violation: 2.9422269350517443 step_size: 1.0 al iter: 3 iter: 1 cost: 477.6199149960934 gradient_norm: 138.00854202458532 max_violation: 2.268885605801965 step_size: 1.0 iter: 2 cost: 404.0572055083925 gradient_norm: 154.78561871088053 max_violation: 1.767338877758809 step_size: 1.0 iter: 3 cost: 343.2253138171193 gradient_norm: 109.30296149381128 max_violation: 1.5533371610799738 step_size: 1.0 iter: 4 cost: 311.7431401102793 gradient_norm: 89.52717841587304 max_violation: 1.3965872080167483 step_size: 1.0 iter: 5 cost: 295.7256686055804 gradient_norm: 80.69454831012658 max_violation: 1.303624576912398 step_size: 1.0 iter: 6 cost: 280.3477022610028 gradient_norm: 73.86480300321779 max_violation: 1.2032314071001906 step_size: 1.0 iter: 7 cost: 267.89693802826 gradient_norm: 66.97660577779712 max_violation: 1.113956977722384 step_size: 1.0 iter: 8 cost: 258.2643412545089 gradient_norm: 70.90351801105902 max_violation: 1.0432840693186751 step_size: 1.0 iter: 9 cost: 250.8263579850034 gradient_norm: 73.91243617028466 max_violation: 0.9885276391757887 step_size: 1.0 iter: 10 cost: 244.80452859748488 gradient_norm: 76.91985514873338 max_violation: 0.944868726506725 step_size: 1.0 iter: 11 cost: 239.87967224084576 gradient_norm: 76.95850201918715 max_violation: 0.9083433499680065 step_size: 1.0 iter: 12 cost: 236.184135643334 gradient_norm: 72.56890745997505 max_violation: 0.8777298120267498 step_size: 1.0 iter: 13 cost: 233.39702383590617 gradient_norm: 66.53576917428437 max_violation: 0.8525493299150004 step_size: 1.0 iter: 14 cost: 231.14793971690955 gradient_norm: 60.68886609591762 max_violation: 0.8317341302906223 step_size: 1.0 iter: 15 cost: 229.27881663201183 gradient_norm: 55.4736804489566 max_violation: 0.8142548777768046 step_size: 1.0 iter: 16 cost: 227.70675895293675 gradient_norm: 63.46654764099027 max_violation: 0.7993438207139083 step_size: 1.0 iter: 17 cost: 226.37230197208456 gradient_norm: 73.77291442452668 max_violation: 0.7864482748673556 step_size: 1.0 iter: 18 cost: 225.22883651570334 gradient_norm: 80.99090987439129 max_violation: 0.7751651950238929 step_size: 1.0 iter: 19 cost: 224.23954860580926 gradient_norm: 85.90861028845146 max_violation: 0.7651942154200135 step_size: 1.0 iter: 20 cost: 223.37550342100934 gradient_norm: 89.12332305252013 max_violation: 0.7563066706556398 step_size: 1.0 iter: 21 cost: 222.6140429722144 gradient_norm: 91.07727152865604 max_violation: 0.7483251751275279 step_size: 1.0 iter: 22 cost: 221.93744002106672 gradient_norm: 92.09622081363186 max_violation: 0.7411098966392009 step_size: 1.0 iter: 23 cost: 221.3317974607687 gradient_norm: 92.42078011075976 max_violation: 0.734549092290822 step_size: 1.0 iter: 24 cost: 220.78616519254572 gradient_norm: 92.22968574614033 max_violation: 0.7285524048822896 step_size: 1.0 iter: 25 cost: 220.29184228154787 gradient_norm: 91.65659467143445 max_violation: 0.7230459905559985 step_size: 1.0 iter: 26 cost: 219.84183529161572 gradient_norm: 90.80209125569749 max_violation: 0.7179688992886657 step_size: 1.0 iter: 27 cost: 219.4304465879313 gradient_norm: 89.74228888335729 max_violation: 0.7132703428843947 step_size: 1.0 iter: 28 cost: 219.05296775134147 gradient_norm: 88.53503912472225 max_violation: 0.7089076116638031 step_size: 1.0 iter: 29 cost: 218.7054546602226 gradient_norm: 87.22445899425908 max_violation: 0.7048444754191276 step_size: 1.0 iter: 30 cost: 218.38456345042354 gradient_norm: 85.84426595375764 max_violation: 0.7010499494690308 step_size: 1.0 iter: 31 cost: 218.0874303344741 gradient_norm: 84.42025765622907 max_violation: 0.6974973366515029 step_size: 1.0 iter: 32 cost: 217.81158233835558 gradient_norm: 82.97217053915014 max_violation: 0.694163477881971 step_size: 1.0 iter: 33 cost: 217.55486966693803 gradient_norm: 81.5150822861214 max_violation: 0.6910281605491773 step_size: 1.0 iter: 34 cost: 217.31541328807248 gradient_norm: 80.06047626224222 max_violation: 0.6880736468388884 step_size: 1.0 iter: 35 cost: 217.0915634051407 gradient_norm: 78.61705358086228 max_violation: 0.6852842938100134 step_size: 1.0 iter: 36 cost: 216.8818659071634 gradient_norm: 77.19135558425735 max_violation: 0.6826462443074095 step_size: 1.0 iter: 37 cost: 216.6850348217501 gradient_norm: 75.78824312940023 max_violation: 0.6801471731330273 step_size: 1.0 iter: 38 cost: 216.49992940426972 gradient_norm: 74.41126717911159 max_violation: 0.6777760767912819 step_size: 1.0 iter: 39 cost: 216.3255348916173 gradient_norm: 73.06295649581874 max_violation: 0.6755230979619666 step_size: 1.0 iter: 40 cost: 216.16094620878312 gradient_norm: 71.74504182147699 max_violation: 0.6733793779296473 step_size: 1.0 iter: 41 cost: 216.00535409126363 gradient_norm: 70.45863117631441 max_violation: 0.6713369317284048 step_size: 1.0 iter: 42 cost: 215.858033207469 gradient_norm: 69.20434737307211 max_violation: 0.6693885418997918 step_size: 1.0 iter: 43 cost: 215.71833195191817 gradient_norm: 67.98243620012951 max_violation: 0.6675276676194142 step_size: 1.0 iter: 44 cost: 215.585663643976 gradient_norm: 66.79285174236315 max_violation: 0.6657483666006225 step_size: 1.0 iter: 45 cost: 215.45949891550205 gradient_norm: 65.63532381212143 max_violation: 0.6640452276870028 step_size: 1.0 iter: 46 cost: 215.33935910861786 gradient_norm: 64.50941132926779 max_violation: 0.6624133124370468 step_size: 1.0 iter: 47 cost: 215.22481053487263 gradient_norm: 63.41454462726659 max_violation: 0.6608481043127088 step_size: 1.0 iter: 48 cost: 215.11545947130662 gradient_norm: 62.35005900285123 max_violation: 0.6593454643280574 step_size: 1.0 iter: 49 cost: 215.01094778870745 gradient_norm: 61.31522132154148 max_violation: 0.6579015922102647 step_size: 1.0 iter: 50 cost: 214.91094912363442 gradient_norm: 60.30925110120687 max_violation: 0.6565129922830666 step_size: 1.0 iter: 51 cost: 214.81516551929064 gradient_norm: 59.331337194071 max_violation: 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gradient_norm: 51.65657308915328 max_violation: 0.6450646325993024 step_size: 1.0 iter: 61 cost: 214.03891725702655 gradient_norm: 50.914447821939866 max_violation: 0.6441161578051755 step_size: 1.0 iter: 62 cost: 213.9755851263883 gradient_norm: 50.19174643862666 max_violation: 0.6431965707449163 step_size: 1.0 iter: 63 cost: 213.9143085370089 gradient_norm: 49.48779951215254 max_violation: 0.6423045184638694 step_size: 1.0 iter: 64 cost: 213.85498213200702 gradient_norm: 48.80196109776689 max_violation: 0.6414387322526656 step_size: 1.0 iter: 65 cost: 213.79750771009205 gradient_norm: 48.13360852673779 max_violation: 0.6405980211605922 step_size: 1.0 iter: 66 cost: 213.74179363040682 gradient_norm: 47.482142055474796 max_violation: 0.6397812661004938 step_size: 1.0 iter: 67 cost: 213.68775427503695 gradient_norm: 46.84698440407432 max_violation: 0.6389874144830618 step_size: 1.0 iter: 68 cost: 213.63530956288776 gradient_norm: 46.227580212083645 max_violation: 0.638215475325786 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cost: 268.51419463293956 gradient_norm: 1683.6933252383403 max_violation: 0.013421612090163126 step_size: 1.0 iter: 32 cost: 268.37076523403016 gradient_norm: 1630.2369837922047 max_violation: 0.012998276662001262 step_size: 1.0 iter: 33 cost: 268.23856436808364 gradient_norm: 1580.0712717064982 max_violation: 0.012600688204798649 step_size: 1.0 iter: 34 cost: 268.11636231775844 gradient_norm: 1532.9016364102479 max_violation: 0.012226571721203228 step_size: 1.0 iter: 35 cost: 268.0030972329765 gradient_norm: 1488.4676369715296 max_violation: 0.011873912295838895 step_size: 1.0 iter: 36 cost: 267.8978480924611 gradient_norm: 1446.5381478552972 max_violation: 0.011540918986892135 step_size: 1.0 iter: 37 cost: 267.79981263734993 gradient_norm: 1406.9073494340682 max_violation: 0.01122599456784823 step_size: 1.0 iter: 38 cost: 267.7082892560721 gradient_norm: 1369.39135873589 max_violation: 0.010927710043046712 step_size: 1.0 iter: 39 cost: 267.6226620299311 gradient_norm: 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step_size: 1.0 iter: 48 cost: 267.04513011236094 gradient_norm: 1081.1580938617706 max_violation: 0.008630881245793365 step_size: 1.0 iter: 49 cost: 266.99667648596557 gradient_norm: 1058.8761239454589 max_violation: 0.00845296762691361 step_size: 1.0 iter: 50 cost: 266.9505394611309 gradient_norm: 1037.4950545226402 max_violation: 0.008282202699985919 step_size: 1.0 iter: 51 cost: 266.90655567307374 gradient_norm: 1016.9613390516503 max_violation: 0.008118164933059058 step_size: 1.0 iter: 52 cost: 266.8645765211365 gradient_norm: 997.2255905280255 max_violation: 0.007960465265137384 step_size: 1.0 iter: 53 cost: 266.8244665655275 gradient_norm: 978.2421854317288 max_violation: 0.00780874404051668 step_size: 1.0 iter: 54 cost: 266.7861021255353 gradient_norm: 959.9689120679277 max_violation: 0.00766266828387141 step_size: 1.0 iter: 55 cost: 266.7493700506486 gradient_norm: 942.3666576029341 max_violation: 0.0075219292727173315 step_size: 1.0 iter: 56 cost: 266.71416664047837 gradient_norm: 925.399128920832 max_violation: 0.007386240370105379 step_size: 1.0 iter: 57 cost: 266.6803966931236 gradient_norm: 909.0326030968902 max_violation: 0.007255335085435077 step_size: 1.0 iter: 58 cost: 266.6479726647335 gradient_norm: 893.2357039239205 max_violation: 0.007128965336177573 step_size: 1.0 iter: 59 cost: 266.6168139255349 gradient_norm: 877.9792013253654 max_violation: 0.007006899886251139 step_size: 1.0 iter: 60 cost: 266.58684609982413 gradient_norm: 863.2358310101304 max_violation: 0.006888922940814446 step_size: 1.0 iter: 61 cost: 266.5580004791766 gradient_norm: 848.9801319914083 max_violation: 0.006774832879214876 step_size: 1.0 iter: 62 cost: 266.53021349968367 gradient_norm: 835.1882999658604 max_violation: 0.006664441110730168 step_size: 1.0 iter: 63 cost: 266.5034262752994 gradient_norm: 821.8380547641341 max_violation: 0.006557571039340404 step_size: 1.0 iter: 64 cost: 266.47758418046135 gradient_norm: 808.9085203189017 max_violation: 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266.02252974317247 gradient_norm: 574.1885041545887 max_violation: 0.004573389409860296 step_size: 1.0 iter: 91 cost: 266.0105155341298 gradient_norm: 567.8548179357149 max_violation: 0.004522618291336489 step_size: 1.0 iter: 92 cost: 265.9987707694564 gradient_norm: 561.6595889045823 max_violation: 0.004472956888290414 step_size: 1.0 iter: 93 cost: 265.98728586987517 gradient_norm: 555.5983242068373 max_violation: 0.0044243692887404595 step_size: 1.0 iter: 94 cost: 265.976051710652 gradient_norm: 549.666723318976 max_violation: 0.004376821112316631 step_size: 1.0 iter: 95 cost: 265.9650595949576 gradient_norm: 543.8606678420398 max_violation: 0.004330279429313633 step_size: 1.0 iter: 96 cost: 265.9543012290893 gradient_norm: 538.176211982947 max_violation: 0.004284712685196368 step_size: 1.0 iter: 97 cost: 265.9437686993683 gradient_norm: 532.6095735903571 max_violation: 0.004240090629463844 step_size: 1.0 iter: 98 cost: 265.93345445061783 gradient_norm: 527.1571257726144 max_violation: 0.004196384249126051 step_size: 1.0 iter: 99 cost: 265.9233512660662 gradient_norm: 521.8153889980405 max_violation: 0.004153565705985129 step_size: 1.0 iter: 100 cost: 265.9134522485964 gradient_norm: 516.5810236991153 max_violation: 0.004111608277902801 step_size: 1.0 Test Summary: | Pass Total Time Solve: acrobot | 1 1 5m53.0s ___ _ _ _ _ ___ ___ |_ _| |_ ___ _ _ __ _| |_(_)_ _____| | / _ \| _ \ | || _/ -_) '_/ _` | _| \ V / -_) |_| (_) | / |___|\__\___|_| \__,_|\__|_|\_/\___|____\__\_\_|_\ Taylor Howell and Simon Le Cleac'h Robotic Exploration Lab Stanford University al iter: 1 ___ _ _ _ _ ___ ___ |_ _| |_ ___ _ _ __ _| |_(_)_ _____| | / _ \| _ \ | || _/ -_) '_/ _` | _| \ V / -_) |_| (_) | / |___|\__\___|_| \__,_|\__|_|\_/\___|____\__\_\_|_\ Taylor Howell and Simon Le Cleac'h Robotic Exploration Lab Stanford University iter: 1 cost: 261.2537798738653 gradient_norm: 885.6763002794513 max_violation: 1.1807656674637883 step_size: 1.0 iter: 2 cost: 69.99469960068207 gradient_norm: 376.08357134305186 max_violation: 0.766429330514935 step_size: 1.0 iter: 3 cost: 34.54977364243712 gradient_norm: 193.82532155965612 max_violation: 0.5197983639867401 step_size: 1.0 iter: 4 cost: 22.539037764763805 gradient_norm: 111.7024513072441 max_violation: 0.4196158004810382 step_size: 1.0 iter: 5 cost: 17.035664625358486 gradient_norm: 69.14467761180012 max_violation: 0.37323467952446965 step_size: 1.0 iter: 6 cost: 14.062954292496705 gradient_norm: 45.607762506571646 max_violation: 0.34188493819304266 step_size: 1.0 iter: 7 cost: 12.272616098482587 gradient_norm: 31.744197515746393 max_violation: 0.3195794259745215 step_size: 1.0 iter: 8 cost: 11.110324366994146 gradient_norm: 28.481409161315987 max_violation: 0.30283107541267995 step_size: 1.0 iter: 9 cost: 10.312569004061332 gradient_norm: 25.725116998667954 max_violation: 0.28976177042682494 step_size: 1.0 iter: 10 cost: 9.740976036112503 gradient_norm: 24.387263942641127 max_violation: 0.27926490324135944 step_size: 1.0 iter: 11 cost: 9.317182750501477 gradient_norm: 23.27948171916522 max_violation: 0.270642534988605 step_size: 1.0 iter: 12 cost: 8.99409364960746 gradient_norm: 22.133658624582665 max_violation: 0.2634309744732146 step_size: 1.0 iter: 13 cost: 8.742010825607291 gradient_norm: 21.003710960323513 max_violation: 0.25730926409585564 step_size: 1.0 iter: 14 cost: 8.541448500865746 gradient_norm: 19.918615937273927 max_violation: 0.2520477436399142 step_size: 1.0 iter: 15 cost: 8.379187541400649 gradient_norm: 18.892634093629162 max_violation: 0.24747750308208794 step_size: 1.0 iter: 16 cost: 8.246001295724474 gradient_norm: 17.931443843477687 max_violation: 0.243471404916475 step_size: 1.0 iter: 17 cost: 8.135289721002943 gradient_norm: 17.035806102872616 max_violation: 0.2399318426078958 step_size: 1.0 iter: 18 cost: 8.042229513640368 gradient_norm: 16.203750801407285 max_violation: 0.23678258854916034 step_size: 1.0 iter: 19 cost: 7.963228813262942 gradient_norm: 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iter: 28 cost: 7.5849867970528555 gradient_norm: 10.534248743252592 max_violation: 0.21768211877573584 step_size: 1.0 iter: 29 cost: 7.562686328832223 gradient_norm: 10.154954010172425 max_violation: 0.21650521190799044 step_size: 1.0 iter: 30 cost: 7.542511446200534 gradient_norm: 9.798993394781991 max_violation: 0.2154088941268837 step_size: 1.0 iter: 31 cost: 7.5241962083383624 gradient_norm: 9.464449922833648 max_violation: 0.21438543266983068 step_size: 1.0 iter: 32 cost: 7.507515233952561 gradient_norm: 9.149592283243631 max_violation: 0.21342804726960818 step_size: 1.0 iter: 33 cost: 7.492276478169418 gradient_norm: 8.852855866270925 max_violation: 0.21253076796176984 step_size: 1.0 iter: 34 cost: 7.478315469141725 gradient_norm: 8.572825443102449 max_violation: 0.2116883176538611 step_size: 1.0 iter: 35 cost: 7.465490676384057 gradient_norm: 8.308219503864 max_violation: 0.21089601456018237 step_size: 1.0 iter: 36 cost: 7.453679763543525 gradient_norm: 8.057876191788143 max_violation: 0.21014969068297518 step_size: 1.0 iter: 37 cost: 7.442776537525081 gradient_norm: 7.820740728824099 max_violation: 0.20944562333843297 step_size: 1.0 iter: 38 cost: 7.432688449752018 gradient_norm: 7.595854208610376 max_violation: 0.2087804773531028 step_size: 1.0 iter: 39 cost: 7.423334538118871 gradient_norm: 7.382343627146472 max_violation: 0.2081512560379437 step_size: 1.0 iter: 40 cost: 7.414643722894794 gradient_norm: 7.179413023837764 max_violation: 0.20755525942109987 step_size: 1.0 iter: 41 cost: 7.406553388595878 gradient_norm: 6.986335612818852 max_violation: 0.20699004851539815 step_size: 1.0 iter: 42 cost: 7.399008198200706 gradient_norm: 6.802446793745567 max_violation: 0.20645341462638545 step_size: 1.0 iter: 43 cost: 7.391959097146254 gradient_norm: 6.627137941422962 max_violation: 0.2059433528896557 step_size: 1.0 iter: 44 cost: 7.385362473123337 gradient_norm: 6.45985088395812 max_violation: 0.20545803937275675 step_size: 1.0 iter: 45 cost: 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0.2019707350005815 step_size: 1.0 iter: 54 cost: 7.337421438340977 gradient_norm: 5.133034578164165 max_violation: 0.20166092137318348 step_size: 1.0 iter: 55 cost: 7.333936923079356 gradient_norm: 5.0275677230832505 max_violation: 0.2013634846738297 step_size: 1.0 iter: 56 cost: 7.330625845447401 gradient_norm: 4.926002454107622 max_violation: 0.20107774848119497 step_size: 1.0 iter: 57 cost: 7.327476493652688 gradient_norm: 4.828134453115053 max_violation: 0.20080308389097912 step_size: 1.0 iter: 58 cost: 7.324478139716949 gradient_norm: 4.733773042605958 max_violation: 0.2005389054433122 step_size: 1.0 iter: 59 cost: 7.321620941393538 gradient_norm: 4.64274009160189 max_violation: 0.20028466746088736 step_size: 1.0 iter: 60 cost: 7.318895855341548 gradient_norm: 4.554869022929657 max_violation: 0.20003986075024294 step_size: 1.0 iter: 61 cost: 7.316294560101643 gradient_norm: 4.47000391137999 max_violation: 0.19980400962503886 step_size: 1.0 iter: 62 cost: 7.313809387626099 gradient_norm: 4.387998663338512 max_violation: 0.1995766692150367 step_size: 1.0 iter: 63 cost: 7.3114332622926375 gradient_norm: 4.318891416810995 max_violation: 0.19935742302960957 step_size: 1.0 iter: 64 cost: 7.309159646479266 gradient_norm: 4.2614430161156545 max_violation: 0.19914588074805462 step_size: 1.0 iter: 65 cost: 7.306982491904377 gradient_norm: 4.205440961225905 max_violation: 0.19894167621241277 step_size: 1.0 iter: 66 cost: 7.304896196042877 gradient_norm: 4.150833848380019 max_violation: 0.1987444656016777 step_size: 1.0 iter: 67 cost: 7.302895563020863 gradient_norm: 4.09757253229489 max_violation: 0.19855392576839925 step_size: 1.0 iter: 68 cost: 7.300975768469271 gradient_norm: 4.0456100154202375 max_violation: 0.19836975272122537 step_size: 1.0 iter: 69 cost: 7.299132327884227 gradient_norm: 3.994901342440709 max_violation: 0.19819166023870682 step_size: 1.0 iter: 70 cost: 7.297361068098634 gradient_norm: 3.945403499836873 max_violation: 0.1980193786011526 step_size: 1.0 iter: 71 cost: 7.295658101519613 gradient_norm: 3.8970753204244346 max_violation: 0.1978526534292424 step_size: 1.0 iter: 72 cost: 7.294019802828746 gradient_norm: 3.8498773926640872 max_violation: 0.19769124461888232 step_size: 1.0 iter: 73 cost: 7.292442787879104 gradient_norm: 3.803771974568054 max_violation: 0.19753492536320216 step_size: 1.0 iter: 74 cost: 7.290923894554755 gradient_norm: 3.7587229120288264 max_violation: 0.19738348125356087 step_size: 1.0 iter: 75 cost: 7.289460165386733 gradient_norm: 3.714695561357109 max_violation: 0.1972367094521399 step_size: 1.0 iter: 76 cost: 7.28804883174277 gradient_norm: 3.671656715862188 max_violation: 0.19709441792968274 step_size: 1.0 iter: 77 cost: 7.286687299430009 gradient_norm: 3.62957453626189 max_violation: 0.1969564247623623 step_size: 1.0 iter: 78 cost: 7.285373135567649 gradient_norm: 3.588418484737847 max_violation: 0.19682255748258193 step_size: 1.0 iter: 79 cost: 7.284104056602718 gradient_norm: 3.548159262458899 max_violation: 0.19669265247897094 step_size: 1.0 iter: 80 cost: 7.282877917356494 gradient_norm: 3.508768750404913 max_violation: 0.19656655444127047 step_size: 1.0 iter: 81 cost: 7.281692701001064 gradient_norm: 3.470219953278031 max_violation: 0.19644411584615984 step_size: 1.0 iter: 82 cost: 7.28054650987663 gradient_norm: 3.432486946391343 max_violation: 0.19632519648074798 step_size: 1.0 iter: 83 cost: 7.2794375570698175 gradient_norm: 3.3955448253297504 max_violation: 0.19620966300036713 step_size: 1.0 iter: 84 cost: 7.2783641586813435 gradient_norm: 3.3593696582735255 max_violation: 0.19609738851796976 step_size: 1.0 iter: 85 cost: 7.277324726719402 gradient_norm: 3.323938440791899 max_violation: 0.1959882522223797 step_size: 1.0 iter: 86 cost: 7.276317762561029 gradient_norm: 3.2892290530176655 max_violation: 0.19588213902326235 step_size: 1.0 iter: 87 cost: 7.275341850930356 gradient_norm: 3.25522021904111 max_violation: 0.19577893922049228 step_size: 1.0 al iter: 2 iter: 1 cost: 7.269944849743791 gradient_norm: 0.48354130657668726 max_violation: 0.0481756108564424 step_size: 1.0 iter: 2 cost: 7.253994869618226 gradient_norm: 0.13733625988558718 max_violation: 0.0017963190921093108 step_size: 1.0 iter: 3 cost: 7.252163371769252 gradient_norm: 0.12093728810343407 max_violation: 0.001811038634711104 step_size: 1.0 iter: 4 cost: 7.251086984969248 gradient_norm: 0.114766263279237 max_violation: 0.0018202529338060547 step_size: 1.0 iter: 5 cost: 7.250360358028719 gradient_norm: 0.1096676429055452 max_violation: 0.0018264790512261264 step_size: 1.0 Test Summary: | Pass Total Time Solve: car | 3 3 38.7s Testing IterativeLQR tests passed Testing completed after 795.59s PkgEval succeeded after 1074.37s