Package evaluation to test MaxEntropyGraphs on Julia 1.14.0-DEV.3071 (c76331c927*) started at 2026-09-02T06:38:47.256 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 14.6s ################################################################################ # Installation # Installing MaxEntropyGraphs... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [0bc52ce7] + MaxEntropyGraphs v0.7.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.30.1 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [861a8166] + Combinatorics v1.1.0 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [1a297f60] + FillArrays v1.17.0 [6a86dc24] + FiniteDiff v2.33.0 [f6369f11] + ForwardDiff v1.4.5 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v1.13.0 [46192b85] + GPUArraysCore v0.2.0 [a0844989] + Gamma v1.2.0 [86223c79] + Graphs v1.14.0 [34004b35] + HypergeometricFunctions v0.3.30 [7869d1d1] + IRTools v0.4.20 [d25df0c9] + Inflate v0.1.5 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [ae98c720] + Jieko v0.2.1 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [0bc52ce7] + MaxEntropyGraphs v0.7.0 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.12 [f8716d33] + MultipleTesting v0.6.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 ⌅ [2774e3e8] + NLsolve v4.5.1 [77ba4419] + NaNMath v1.1.4 ⌅ [429524aa] + Optim v1.13.3 ⌃ [7f7a1694] + Optimization v5.4.0 ⌅ [bca83a33] + OptimizationBase v4.2.0 ⌃ [36348300] + OptimizationOptimJL v0.4.8 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v1.7.1 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 ⌅ [731186ca] + RecursiveArrayTools v3.54.0 [189a3867] + Reexport v1.2.2 [37e2e3b7] + ReverseDiff v1.17.0 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [7e49a35a] + RuntimeGeneratedFunctions v0.5.25 ⌅ [0bca4576] + SciMLBase v2.155.2 ⌅ [a6db7da4] + SciMLLogging v1.10.1 [c0aeaf25] + SciMLOperators v1.30.0 [431bcebd] + SciMLPublic v1.3.0 [53ae85a6] + SciMLStructures v1.10.5 [efcf1570] + Setfield v1.1.2 [699a6c99] + SimpleTraits v0.9.6 [47aef6b3] + SimpleWeightedGraphs v1.5.1 [a2af1166] + SortingAlgorithms v1.2.3 [9f842d2f] + SparseConnectivityTracer v1.2.3 [dc90abb0] + SparseInverseSubset v0.1.3 [0a514795] + SparseMatrixColorings v0.4.27 [276daf66] + SpecialFunctions v2.9.0 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.4 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [09ab397b] + StructArrays v0.7.3 [2efcf032] + SymbolicIndexingInterface v0.3.55 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [5d786b92] + TerminalLoggers v0.1.8 [e88e6eb3] + Zygote v0.7.13 [700de1a5] + ZygoteRules v0.2.8 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [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 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.7+0 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [8e850b90] + libblastrampoline_jll v5.15.0+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 5.26s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ TestEnv ~/.julia/packages/TestEnv/sTG3E/src/julia-1.13/activate_set.jl:78 Precompiling package dependencies... Precompiling project... 7.7 s ✓ SciMLBase → SciMLBaseDistributionsExt 10.7 s ✓ SciMLBase → SciMLBaseZygoteExt 7.8 s ✓ RecursiveArrayTools → RecursiveArrayToolsZygoteExt 8.4 s ✓ OptimizationBase → OptimizationZygoteExt 13.7 s ✓ OptimizationBase → OptimizationReverseDiffExt 19.5 s ✓ RecursiveArrayTools → RecursiveArrayToolsReverseDiffExt ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 370.3 s ✓ MaxEntropyGraphs 7 dependencies successfully precompiled in 446 seconds. 259 already precompiled. 1 dependency had output during precompilation: ┌ MaxEntropyGraphs │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 │ ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ │ an explicit `SecondOrder` ADtype is recommended. │ └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 └ Precompilation completed after 431.57s ################################################################################ # Testing # Testing MaxEntropyGraphs Test Could not use exact versions of packages in manifest, re-resolving. Note: if you do not check your manifest file into source control, then you can probably ignore this message. However, if you do check your manifest file into source control, then you probably want to pass the `allow_reresolve = false` kwarg when calling the `Pkg.test` function. Updating `/tmp/jl_n0cbh5/Project.toml` [4c88cf16] + Aqua v0.8.16 [0bc52ce7] + MaxEntropyGraphs v0.7.0 [0c5d862f] + Symbolics v7.39.0 [8dfed614] ~ Test ⇒ v1.11.0 Updating `/tmp/jl_n0cbh5/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [621f4979] + AbstractFFTs v1.5.0 [6e696c72] + AbstractPlutoDingetjes v1.4.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [4c88cf16] + Aqua v0.8.16 [ec485272] + ArnoldiMethod v0.4.0 [4fba245c] + ArrayInterface v7.30.1 [e2ed5e7c] + Bijections v0.2.2 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 ⌅ [861a8166] + Combinatorics v1.0.2 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.2.0 [34da2185] + Compat v4.18.1 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.8.1 [7c1d4256] + DynamicPolynomials v0.6.8 [4e289a0a] + EnumX v1.0.7 [e2ba6199] + ExprTools v0.1.11 [55351af7] + ExproniconLite v0.10.14 [9aa1b823] + FastClosures v0.3.2 [1a297f60] + FillArrays v1.17.0 [6a86dc24] + FiniteDiff v2.33.0 [f6369f11] + ForwardDiff v1.4.5 [a85aefff] + FunctionMaps v0.1.2 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v1.13.0 [46192b85] + GPUArraysCore v0.2.0 [a0844989] + Gamma v1.2.0 [86223c79] + Graphs v1.14.0 [34004b35] + HypergeometricFunctions v0.3.30 [7869d1d1] + IRTools v0.4.20 [d25df0c9] + Inflate v0.1.5 [18e54dd8] + IntegerMathUtils v0.1.4 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.8.0 [ae98c720] + Jieko v0.2.1 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 ⌃ [d3d80556] + LineSearches v7.5.1 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [1914dd2f] + MacroTools v0.5.16 [0bc52ce7] + MaxEntropyGraphs v0.7.0 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.12 [f8716d33] + MultipleTesting v0.6.0 [102ac46a] + MultivariatePolynomials v0.5.19 [d8a4904e] + MutableArithmetics v1.8.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 ⌅ [2774e3e8] + NLsolve v4.5.1 [77ba4419] + NaNMath v1.1.4 ⌅ [429524aa] + Optim v1.13.3 ⌃ [7f7a1694] + Optimization v5.4.0 ⌅ [bca83a33] + OptimizationBase v4.2.0 ⌃ [36348300] + OptimizationOptimJL v0.4.8 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [85a6dd25] + PositiveFactorizations v0.2.4 [d236fae5] + PreallocationTools v1.7.1 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [27ebfcd6] 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[1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.4 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [09ab397b] + StructArrays v0.7.3 [2efcf032] + SymbolicIndexingInterface v0.3.55 [19f23fe9] + SymbolicLimits v1.2.1 ⌃ [d1185830] + SymbolicUtils v4.46.1 [0c5d862f] + Symbolics v7.39.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [ed4db957] + TaskLocalValues v0.1.3 [8ea1fca8] + TermInterface v2.0.0 [5d786b92] + TerminalLoggers v0.1.8 [d30d5f5c] + WeakCacheSets v0.1.0 [e88e6eb3] + Zygote v0.7.13 [700de1a5] + ZygoteRules v0.2.8 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 [0dad84c5] + ArgTools v1.2.0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.12.0 [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 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... ┌ Warning: The matrix `B` is square, make sure it is a biadjacency matrix. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/metrics.jl:2375 ┌ Warning: The matrix `B` is square, make sure it is a biadjacency matrix. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/metrics.jl:2375 ┌ Warning: The graph has vertices with zero degree, this may lead to convergence issues. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/UBCM.jl:114 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/UBCM.jl:933 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/DBCM.jl:1167 ┌ Warning: The non-reciprocated degree sequences are all zeros (fully reciprocal network): only the reciprocated parameters are identified. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/RBCM.jl:130 ┌ Warning: The non-reciprocated degree sequences are all zeros (fully reciprocal network): only the reciprocated parameters are identified. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/RBCM.jl:130 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/RBCM.jl:1597 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/BiCM.jl:1076 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/UECM.jl:818 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/DECM.jl:1110 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/CReM.jl:802 ┌ Warning: The graph has vertices with zero out- or in-degree, this may lead to convergence issues. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/DCReM.jl:116 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/DCReM.jl:1016 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The number of observations is small with respect to the number of parameters (n/k < 40). Consider using the corrected AIC (AICc) instead. └ @ MaxEntropyGraphs ~/.julia/packages/MaxEntropyGraphs/4yVSo/src/Models/CRWCM.jl:1061 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 ┌ Warning: The selected optimization algorithm requires second order derivatives, but `AutoZygote` ADtype was provided. │ So a `SecondOrder` with `AutoZygote` for inner and `AutoForwardDiff` for outer will be created, for choosing another pair │ an explicit `SecondOrder` ADtype is recommended. └ @ OptimizationBase ~/.julia/packages/OptimizationBase/mYxHK/src/cache.jl:66 Test Summary: | Pass Total Time MaxEntropyGraphs.jl | 1913 1913 30m38.6s Testing MaxEntropyGraphs tests passed Testing completed after 1767.2s PkgEval succeeded after 2477.93s