Package evaluation of Grumps on Julia 1.12.0-DEV.1805 (a080deafdd*) started at 2025-03-25T00:17:54.500 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.87s ################################################################################ # Installation # Installing Grumps... Resolving package versions... Updating `~/.julia/environments/v1.12/Project.toml` [3967666a] + Grumps v0.2.4 Updating `~/.julia/environments/v1.12/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [e36756a0] + Ansillary v0.1.0 [4fba245c] + ArrayInterface v7.18.0 [69666777] + Arrow v2.8.0 [31f734f8] + ArrowTypes v2.3.0 [c3b6d118] + BitIntegers v0.3.4 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [336ed68f] + CSV v0.10.15 [fb6a15b2] + CloseOpenIntervals v0.1.13 [5ba52731] + CodecLz4 v0.4.5 [944b1d66] + CodecZlib v0.7.8 [6b39b394] + CodecZstd v0.8.6 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [f0e56b4a] + ConcurrentUtilities v2.5.0 [187b0558] + ConstructionBase v1.5.8 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.48 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.3 [4e289a0a] + EnumX v1.0.4 [e2ba6199] + ExprTools v0.1.10 ⌅ [442a2c76] + FastGaussQuadrature v0.5.1 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v0.10.38 [3967666a] + Grumps v0.2.4 [3e5b6fbb] + HostCPUFeatures v0.1.17 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [842dd82b] + InlineStrings v1.4.3 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [1019f520] + JLFzf v0.1.10 [692b3bcd] + JLLWrappers v1.7.0 [70703baa] + JuliaSyntax v0.4.10 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [bdcacae8] + LoopVectorization v0.12.171 [1914dd2f] + 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Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [dc6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.12.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL 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 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.2.0+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.8.0+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+1 [14a3606d] + MozillaCACerts_jll v2024.11.26 [4536629a] + OpenBLAS_jll v0.3.28+3 [05823500] + OpenLibm_jll v0.8.1+3 [bea87d4a] + SuiteSparse_jll v7.8.0+1 [83775a58] + Zlib_jll v1.3.1+1 [8e850b90] + libblastrampoline_jll v5.11.2+0 [8e850ede] + nghttp2_jll v1.63.0+1 [3f19e933] + p7zip_jll v17.5.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.61s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 156.98s ################################################################################ # Testing # Testing Grumps Status `/tmp/jl_FbRP9u/Project.toml` [e36756a0] Ansillary v0.1.0 [69666777] Arrow v2.8.0 [336ed68f] CSV v0.10.15 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [a93c6f00] DataFrames v1.7.0 ⌅ [442a2c76] FastGaussQuadrature v0.5.1 [3967666a] Grumps v0.2.4 [bdcacae8] LoopVectorization v0.12.171 [5fb14364] OhMyREPL v0.5.29 [429524aa] Optim v1.11.0 [74087812] Random123 v1.7.0 [d1712120] Smartphores v0.1.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [88034a9c] StringDistances v0.11.3 [bc48ee85] Tullio v0.3.8 [04da0e3b] TypeTree v0.3.0 [ade2ca70] Dates v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.12.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_FbRP9u/Manifest.toml` [47edcb42] ADTypes v1.14.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [e36756a0] Ansillary v0.1.0 [4fba245c] ArrayInterface v7.18.0 [69666777] Arrow v2.8.0 [31f734f8] ArrowTypes v2.3.0 [c3b6d118] BitIntegers v0.3.4 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [336ed68f] CSV v0.10.15 [fb6a15b2] CloseOpenIntervals v0.1.13 [5ba52731] CodecLz4 v0.4.5 [944b1d66] CodecZlib v0.7.8 [6b39b394] CodecZstd v0.8.6 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [f0e56b4a] ConcurrentUtilities v2.5.0 [187b0558] ConstructionBase v1.5.8 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.48 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.3 [4e289a0a] EnumX v1.0.4 [e2ba6199] ExprTools v0.1.10 ⌅ [442a2c76] FastGaussQuadrature v0.5.1 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v0.10.38 [3967666a] Grumps v0.2.4 [3e5b6fbb] HostCPUFeatures v0.1.17 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [842dd82b] InlineStrings v1.4.3 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [1019f520] JLFzf v0.1.10 [692b3bcd] JLLWrappers v1.7.0 [70703baa] JuliaSyntax v0.4.10 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [d3d80556] LineSearches v7.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [bdcacae8] LoopVectorization v0.12.171 [1914dd2f] MacroTools v0.5.15 [d125e4d3] ManualMemory v0.1.8 [e1d29d7a] Missings v1.2.0 [78c3b35d] Mocking v0.8.1 [d41bc354] NLSolversBase v7.9.0 [77ba4419] NaNMath v1.1.2 [6fe1bfb0] OffsetArrays v1.16.0 [5fb14364] OhMyREPL v0.5.29 [429524aa] Optim v1.11.0 [bac558e1] OrderedCollections v1.8.0 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 [74087812] Random123 v1.7.0 [e6cf234a] RandomNumbers v1.6.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 [6c6a2e73] Scratch v1.2.1 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [d1712120] Smartphores v0.1.0 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [aedffcd0] Static v1.2.0 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [88034a9c] StringDistances v0.11.3 [892a3eda] StringManipulation v0.4.1 [354b36f9] StringViews v1.3.4 [dc5dba14] TZJData v1.4.0+2025a [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [8290d209] ThreadingUtilities v0.5.2 [f269a46b] TimeZones v1.21.3 [3bb67fe8] TranscodingStreams v0.11.3 [bc48ee85] Tullio v0.3.8 [04da0e3b] TypeTree v0.3.0 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [5ced341a] Lz4_jll v1.10.1+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [214eeab7] fzf_jll v0.56.3+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [dc6e5ff7] JuliaSyntaxHighlighting v1.12.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.12.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL 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 [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 v1.2.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.8.0+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+1 [14a3606d] MozillaCACerts_jll v2024.11.26 [4536629a] OpenBLAS_jll v0.3.28+3 [05823500] OpenLibm_jll v0.8.1+3 [bea87d4a] SuiteSparse_jll v7.8.0+1 [83775a58] Zlib_jll v1.3.1+1 [8e850b90] libblastrampoline_jll v5.11.2+0 [8e850ede] nghttp2_jll v1.63.0+1 [3f19e933] p7zip_jll v17.5.0+1 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ________ _____ __________ _________ / _____/______ __ __ / \\______ \/ _____/ / \ __\_ __ \ | \/ \ / \| ___/\_____ \ \ \_\ \ | \/ | / Y \ | / \ \______ /__| |____/\____|__ /____| /_______ / \/ \/ \/ Please note: 1: read the manual at https://nittanylion.github.io/Grumps.jl completely 2: read the paper at http://joris.pinkse.org/paper/grumps/ 3: if you see unexpected behavior, please send me code and data so that I can replicate 4: all of the user-level commands are documented; e.g. use ?Save 5: please check the memory conservation documentation if memory becomes an issue 6: please direct all questions/suggestions/comments to Joris Pinkse at joris@psu.edu This is Grumps version 0.2.4 (2023-09-14) Your version of Grumps is 558 days old: please check for updates regularly! ┌ Note: number of BLAS threads used = 1 └ [ Info: no randomization chosen for macro integrator: just selecting from the start of the draws data if provided ┌ Note: no separate random number generator implemented for replicable = true; just using the first one └ [ Info: will compute ξ variance matrix for next stage assuming homoskedasticity ┌ Note: you are only using one Julia thread │ which is typically slow: │ start Julia with e.g. julia -t 8 to get 8 threads └ ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ Summary ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ ―――――――――――――――――――――――――――――――― Specification ――――――――――――――――――――――――――――――――― Uᵢⱼₘ = θ₁incomeᵢₘ + θ₂incomeᵢₘibuⱼₘ + θ₃ageᵢₘibuⱼₘ + θ₄νᵢ₁ₘibuⱼₘ + θ₅νᵢ₂ₘabvⱼₘ + β₁ + β₂ibuⱼₘ + β₃abvⱼₘ + ξⱼₘ + ϵᵢⱼₘ instruments: IVgh_ibu, IVgh_abv ―――――――――――――――――――――――――――――――――― Data Sizes ―――――――――――――――――――――――――――――――――― 5 markets; 55 products; 495,000 consumers; 5,000 micro consumers; 3 interactions; 2 random coefficients; 3 product regressors; 5 instruments ―――――――――――――――――――――――― Detailed Estimator Description ―――――――――――――――――――――――― The estimator used here is the Conformant Likelihood with Exogeneity Restrictions estimator. It minimizes an objective function of the form Ω̂( θ, δ, β ) = ℒ ᵐⁱᶜ( θ, δ ) + ℒ ᵐᵃᶜ( θ, δ ) + Π( δ, β ) where the first two components are (minus) a micro likelihood and a macro likelihood and the last component is a GMM style objective function. This is the full version of this estimator which takes longer to compute than the asymptotically equivalent cheap version. The main advantage of the full CLER estimator compared to the cheap version is that there is somewhat greater robustness to small shares. ――――――――――――――――――――――――――――――― Nodes and Draws ―――――――――――――――――――――――――――――――― 605 micro nodes/draws; 50,000 macro nodes/draws ――――――――――――――――――――――――――――― Optimization Options ――――――――――――――――――――――――――――― tolerances f_tol g_tol x_tol iterations maxrepeats δ 0 1e-8 0 25 θ 1e-8 1e-4 1e-5 50 3 threads machcpus machthr specthr blasthr mktthr inthr 32 64 1 1 1 1 loop vectorization true ――――――――――――――――――――――――――――― Memory Conservation ―――――――――――――――――――――――――――――― memsave false ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ End of Summary ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in tile_halves(F, Type{T}, Tuple, Tuple, Tuple, Any, Any) where {F<:Function, T} at /home/pkgeval/.julia/packages/Tullio/2zyFP/src/threads.jl WARNING: llvmcall with integer pointers is deprecated. Use actual pointers instead, replacing i32 or i64 with i8* or ptr in _turbo_!(Base.Val{var"#UNROLL#"}, Base.Val{var"#OPS#"}, Base.Val{var"#ARF#"}, Base.Val{var"#AM#"}, Base.Val{var"#LPSYM#"}, Base.Val{Tuple{var"#LB#", var"#V#"}}, Vararg{Any, var"#num#vargs#"}) where {var"#UNROLL#", var"#OPS#", var"#ARF#", var"#AM#", var"#LPSYM#", var"#LB#", var"#V#", var"#num#vargs#"} at /home/pkgeval/.julia/packages/LoopVectorization/tIJUA/src/reconstruct_loopset.jl ■ ■ ■ Conformant Likelihood with Exogeneity Restrictions ■ ■ ■ __________________________________________________ itr obj fun value gradient norm time theta coefficients --- -------------- -------------- ------- 0 +6492.76031066 950.25443591 0.00 +0.00 +0.00 +0.00 +0.50 +0.50 1 +5778.24890176 198.86576518 21.52 +0.48 +0.24 +0.31 +0.28 +0.46 2 +5709.54921877 24.24450769 36.53 +1.17 +0.09 +0.52 +0.22 +0.34 3 +5708.84492547 1.29093264 58.10 +1.23 +0.09 +0.54 +0.22 +0.39 4 +5708.84492547 1.29093264 63.29 +1.23 +0.09 +0.54 +0.22 +0.39 5 +5708.84492547 1.29093264 68.86 +1.23 +0.09 +0.54 +0.22 +0.39 6 +5708.82669694 0.99565142 90.55 +1.23 +0.10 +0.55 +0.25 +0.40 7 +5708.80499874 4.82482154 105.53 +1.23 +0.12 +0.57 +0.32 +0.40 8 +5708.74545454 1.58709535 120.49 +1.23 +0.13 +0.58 +0.36 +0.40 9 +5708.73006583 6.76413428 135.38 +1.23 +0.17 +0.62 +0.45 +0.40 10 +5708.64207568 0.71850000 156.67 +1.22 +0.19 +0.63 +0.48 +0.40 11 +5708.64207568 0.71850000 162.10 +1.22 +0.19 +0.63 +0.48 +0.40 12 +5708.62168116 0.60006140 176.77 +1.23 +0.20 +0.65 +0.50 +0.40 13 +5708.58894328 1.92929259 191.47 +1.23 +0.22 +0.67 +0.56 +0.40 14 +5708.55820777 3.16389389 206.15 +1.22 +0.27 +0.71 +0.64 +0.40 15 +5708.52715048 0.61230678 221.18 +1.22 +0.29 +0.73 +0.68 +0.40 16 +5708.52230595 3.02196130 236.09 +1.23 +0.33 +0.78 +0.77 +0.40 17 +5708.50692058 0.04256116 250.84 +1.23 +0.34 +0.78 +0.77 +0.40 18 +5708.50624716 0.17902713 265.75 +1.23 +0.35 +0.79 +0.79 +0.40 19 +5708.50620076 0.00005672 280.57 +1.23 +0.35 +0.79 +0.79 +0.40 [ Info: computing asymptotic variance if requested Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 Expression: isapprox(getθcoef(sol), resultsdict["θsol$(meth)"], rtol = 0.01) Evaluated: isapprox([1.2309058532107833, 0.3494159011641639, 0.7945619074592671, 0.7940150187420515, 0.3960329371171903], [1.2216062536074848, 0.36986526572323664, 0.8114008644814672, 0.8256059861239026, 0.37097308759068]; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 Expression: isapprox(norm(gettstat.(β)), resultsdict["βtstat$(meth)"], rtol = 0.01) Evaluated: isapprox(12.846984777006801, 13.578840175027363; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:67 Expression: isapprox(norm(gettstat.(δ)), resultsdict["δtstat$(meth)"], rtol = 0.01) Evaluated: isapprox(142.29878752345766, 145.15776763385702; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:67 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] [ Info: no randomization chosen for macro integrator: just selecting from the start of the draws data if provided ┌ Note: no separate random number generator implemented for replicable = true; just using the first one └ [ Info: will compute ξ variance matrix for next stage assuming homoskedasticity ┌ Note: you are only using one Julia thread │ which is typically slow: │ start Julia with e.g. julia -t 8 to get 8 threads └ ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ Summary ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ ―――――――――――――――――――――――――――――――― Specification ――――――――――――――――――――――――――――――――― Uᵢⱼₘ = θ₁incomeᵢₘ + θ₂incomeᵢₘibuⱼₘ + θ₃ageᵢₘibuⱼₘ + θ₄νᵢ₁ₘibuⱼₘ + θ₅νᵢ₂ₘabvⱼₘ + β₁ + β₂ibuⱼₘ + β₃abvⱼₘ + ξⱼₘ + ϵᵢⱼₘ instruments: IVgh_ibu, IVgh_abv ―――――――――――――――――――――――――――――――――― Data Sizes ―――――――――――――――――――――――――――――――――― 5 markets; 55 products; 495,000 consumers; 5,000 micro consumers; 3 interactions; 2 random coefficients; 3 product regressors; 5 instruments ―――――――――――――――――――――――― Detailed Estimator Description ―――――――――――――――――――――――― The estimator used here is the cheap version of the Conformant Likelihood with Exogeneity Restrictions estimator. It minimizes an objective function of the form Ω̂( θ, δ, β ) = ℒ ᵐⁱᶜ( θ, δ ) + ℒ ᵐᵃᶜ( θ, δ ) with respect to δ in the inner loop and then minimizes an objective function of the form Ω̂( θ, δ, β ) = ℒ ᵐⁱᶜ( θ, δ ) + ℒ ᵐᵃᶜ( θ, δ ) + Π( δ, β ) in the outer loop. Here, the first two components are (minus) a micro likelihood and a macro likelihood and the last component is a GMM style objective function. The cheap version computes faster and has the same asymptotic distribution as the full CLER estimator. The only difference is that the full CLER estimator has somewhat greater robustness to small shares. ――――――――――――――――――――――――――――――― Nodes and Draws ―――――――――――――――――――――――――――――――― 605 micro nodes/draws; 50,000 macro nodes/draws ――――――――――――――――――――――――――――― Optimization Options ――――――――――――――――――――――――――――― tolerances f_tol g_tol x_tol iterations maxrepeats δ 0 1e-8 0 25 θ 1e-8 1e-4 1e-5 50 3 threads machcpus machthr specthr blasthr mktthr inthr 32 64 1 1 1 1 loop vectorization true ――――――――――――――――――――――――――――― Memory Conservation ―――――――――――――――――――――――――――――― memsave false ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ End of Summary ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ ■ ■ □ Conformant Likelihood with Exogeneity Restrictions (cheap version) ■ ■ ■ __________________________________________________________________ itr obj fun value gradient norm time theta coefficients --- -------------- -------------- ------- 0 +6492.76134789 950.25442004 0.00 +0.00 +0.00 +0.00 +0.50 +0.50 1 +5778.25216759 198.78918920 15.17 +0.48 +0.24 +0.31 +0.28 +0.46 2 +5709.55870618 24.32232801 27.46 +1.17 +0.09 +0.52 +0.22 +0.34 3 +5708.84631169 1.29914986 40.57 +1.23 +0.09 +0.54 +0.22 +0.39 4 +5708.84631169 1.29914986 45.19 +1.23 +0.09 +0.54 +0.22 +0.39 5 +5708.84631169 1.29914986 50.31 +1.23 +0.09 +0.54 +0.22 +0.39 6 +5708.82722036 0.96597839 63.62 +1.24 +0.10 +0.55 +0.25 +0.40 7 +5708.80555636 4.81061526 76.62 +1.23 +0.11 +0.57 +0.32 +0.40 8 +5708.74641766 1.55792699 90.07 +1.23 +0.13 +0.58 +0.36 +0.40 9 +5708.73092204 6.75212131 103.09 +1.23 +0.17 +0.62 +0.45 +0.40 10 +5708.64320456 0.72595992 116.88 +1.22 +0.19 +0.63 +0.48 +0.40 11 +5708.64320456 0.72595992 122.11 +1.22 +0.19 +0.63 +0.48 +0.40 12 +5708.62278482 0.60089457 135.88 +1.23 +0.20 +0.65 +0.50 +0.40 13 +5708.58992699 1.92986719 149.27 +1.23 +0.22 +0.67 +0.56 +0.40 14 +5708.55906879 3.18621730 162.35 +1.22 +0.26 +0.71 +0.64 +0.40 15 +5708.52750934 0.64686755 176.57 +1.22 +0.29 +0.73 +0.68 +0.40 16 +5708.52170968 2.90685719 189.72 +1.23 +0.33 +0.77 +0.76 +0.40 17 +5708.50714761 0.06408371 202.87 +1.23 +0.34 +0.78 +0.77 +0.39 18 +5708.50647940 0.16433929 215.87 +1.23 +0.35 +0.79 +0.79 +0.40 19 +5708.50644435 0.00436140 229.52 +1.23 +0.35 +0.80 +0.80 +0.40 20 +5708.50643865 0.00092902 243.05 +1.23 +0.35 +0.79 +0.79 +0.40 [ Info: computing asymptotic variance if requested Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 Expression: isapprox(getθcoef(sol), resultsdict["θsol$(meth)"], rtol = 0.01) Evaluated: isapprox([1.2308760733104984, 0.3495370468683791, 0.794668749520277, 0.7942190532340148, 0.3959106414868732], [1.2215921895443769, 0.3699588862919475, 0.8114863527484408, 0.8257652538558176, 0.370884381545483]; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 Expression: isapprox(norm(gettstat.(β)), resultsdict["βtstat$(meth)"], rtol = 0.01) Evaluated: isapprox(12.974594701474388, 13.681752754515324; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:67 Expression: isapprox(norm(gettstat.(δ)), resultsdict["δtstat$(meth)"], rtol = 0.01) Evaluated: isapprox(142.6220593361934, 145.3018137609441; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:67 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] [ Info: no randomization chosen for macro integrator: just selecting from the start of the draws data if provided ┌ Note: no separate random number generator implemented for replicable = true; just using the first one └ [ Info: will compute ξ variance matrix for next stage assuming homoskedasticity ┌ Note: you are only using one Julia thread │ which is typically slow: │ start Julia with e.g. julia -t 8 to get 8 threads └ ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ Summary ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ ―――――――――――――――――――――――――――――――― Specification ――――――――――――――――――――――――――――――――― Uᵢⱼₘ = θ₁incomeᵢₘ + θ₂incomeᵢₘibuⱼₘ + θ₃ageᵢₘibuⱼₘ + θ₄νᵢ₁ₘibuⱼₘ + θ₅νᵢ₂ₘabvⱼₘ + β₁ + β₂ibuⱼₘ + β₃abvⱼₘ + ξⱼₘ + ϵᵢⱼₘ instruments: IVgh_ibu, IVgh_abv ―――――――――――――――――――――――――――――――――― Data Sizes ―――――――――――――――――――――――――――――――――― 5 markets; 55 products; 495,000 consumers; 5,000 micro consumers; 3 interactions; 2 random coefficients; 3 product regressors; 5 instruments ―――――――――――――――――――――――― Detailed Estimator Description ―――――――――――――――――――――――― The estimator used here is the Mixed Data Likelihood Estimator. It minimizes an objective function of the form Ω̂( θ, δ ) = ℒ ᵐⁱᶜ( θ, δ ) + ℒ ᵐᵃᶜ( θ, δ ) with respect to θ and δ and then minimizes a GMM style objective function Π̂( δ̂, β ) with respect to β in a second step. Unlike the CLER estimator (both the full and cheap version), the MDLE is not fully robust. Moreover, in some circumstances it is also less efficient, even converge at a slower rate. ――――――――――――――――――――――――――――――― Nodes and Draws ―――――――――――――――――――――――――――――――― 605 micro nodes/draws; 50,000 macro nodes/draws ――――――――――――――――――――――――――――― Optimization Options ――――――――――――――――――――――――――――― tolerances f_tol g_tol x_tol iterations maxrepeats δ 0 1e-8 0 25 θ 1e-8 1e-4 1e-5 50 3 threads machcpus machthr specthr blasthr mktthr inthr 32 64 1 1 1 1 loop vectorization true ――――――――――――――――――――――――――――― Memory Conservation ―――――――――――――――――――――――――――――― memsave false ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ End of Summary ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ ■ ■ □ Mixed data likelihood estimator ■ ■ □ _______________________________ itr obj fun value gradient norm time theta coefficients --- -------------- -------------- ------- 0 +6492.23158982 950.26386625 0.00 +0.00 +0.00 +0.00 +0.50 +0.50 1 +5777.89759447 198.82186769 14.99 +0.48 +0.24 +0.31 +0.28 +0.46 2 +5709.46117805 24.23339613 29.10 +1.17 +0.09 +0.52 +0.22 +0.34 3 +5708.65931386 2.73684507 42.98 +1.25 +0.08 +0.54 +0.22 +0.45 4 +5708.63699543 5.22076373 56.96 +1.25 +0.10 +0.56 +0.29 +0.44 5 +5708.57941394 1.14371440 71.31 +1.25 +0.11 +0.57 +0.32 +0.44 6 +5708.57941394 1.14371440 76.09 +1.25 +0.11 +0.57 +0.32 +0.44 7 +5708.57941394 1.14371440 81.13 +1.25 +0.11 +0.57 +0.32 +0.44 8 +5708.56117482 0.49727128 94.90 +1.25 +0.12 +0.58 +0.34 +0.44 9 +5708.52839818 1.88203890 108.62 +1.25 +0.14 +0.60 +0.39 +0.44 10 +5708.52839818 1.88203890 113.74 +1.25 +0.14 +0.60 +0.39 +0.44 11 +5708.50469462 0.59191789 127.63 +1.25 +0.15 +0.61 +0.41 +0.45 12 +5708.47066483 2.09642821 141.82 +1.25 +0.17 +0.63 +0.46 +0.45 13 +5708.44184692 4.39793683 155.59 +1.25 +0.21 +0.67 +0.55 +0.45 14 +5708.39576787 0.58800326 169.36 +1.25 +0.23 +0.68 +0.58 +0.45 15 +5708.39576787 0.58800326 174.48 +1.25 +0.23 +0.68 +0.58 +0.45 16 +5708.38300475 0.53823184 188.14 +1.25 +0.24 +0.70 +0.61 +0.46 17 +5708.36975936 1.69222289 201.85 +1.25 +0.28 +0.73 +0.67 +0.46 18 +5708.36036188 0.27996517 215.74 +1.25 +0.29 +0.75 +0.70 +0.46 19 +5708.35813092 0.44751155 229.05 +1.25 +0.31 +0.76 +0.73 +0.46 20 +5708.35772180 0.00798367 242.47 +1.25 +0.31 +0.77 +0.74 +0.46 21 +5708.35771746 0.00100541 256.23 +1.25 +0.31 +0.77 +0.74 +0.46 22 +5708.35771745 0.00000002 269.69 +1.25 +0.31 +0.77 +0.74 +0.46 [ Info: computing asymptotic variance if requested Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 Expression: isapprox(getθcoef(sol), resultsdict["θsol$(meth)"], rtol = 0.01) Evaluated: isapprox([1.2542892599177367, 0.3123973902620281, 0.76715793521015, 0.7378901981290084, 0.46054879600376647], [1.242442713148273, 0.3328010543606074, 0.783061410655338, 0.7690299315725251, 0.43391660758456013]; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 Expression: isapprox(norm(gettstat.(β)), resultsdict["βtstat$(meth)"], rtol = 0.01) Evaluated: isapprox(12.723057633346553, 13.130159117332365; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:66 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] [ Info: no randomization chosen for macro integrator: just selecting from the start of the draws data if provided ┌ Note: no separate random number generator implemented for replicable = true; just using the first one └ [ Info: will compute ξ variance matrix for next stage assuming homoskedasticity ┌ Note: you are only using one Julia thread │ which is typically slow: │ start Julia with e.g. julia -t 8 to get 8 threads └ ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ Summary ∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨∨ ―――――――――――――――――――――――――――――――― Specification ――――――――――――――――――――――――――――――――― Uᵢⱼₘ = θ₁incomeᵢₘ + θ₂incomeᵢₘibuⱼₘ + θ₃ageᵢₘibuⱼₘ + θ₄νᵢ₁ₘibuⱼₘ + θ₅νᵢ₂ₘabvⱼₘ + β₁ + β₂ibuⱼₘ + β₃abvⱼₘ + ξⱼₘ + ϵᵢⱼₘ instruments: IVgh_ibu, IVgh_abv ―――――――――――――――――――――――――――――――――― Data Sizes ―――――――――――――――――――――――――――――――――― 5 markets; 55 products; 495,000 consumers; 5,000 micro consumers; 3 interactions; 2 random coefficients; 3 product regressors; 5 instruments ―――――――――――――――――――――――― Detailed Estimator Description ―――――――――――――――――――――――― The estimator used here is the Share Constraint Estimator. It minimizes an objective function of the form Ω̂( θ, δ ) = ℒ ᵐᵃᶜ( θ, δ ) with respect to δ in an inner loop, then minimizes ℒ ᵐⁱᶜ( θ, δ̂ ) with respect to θ in an outer loop and finally minimizes a GMM style objective function Π̂( δ̂, β ) with respect to β in a final step. This estimator is dominated by several other choices. ――――――――――――――――――――――――――――――― Nodes and Draws ―――――――――――――――――――――――――――――――― 605 micro nodes/draws; 50,000 macro nodes/draws ――――――――――――――――――――――――――――― Optimization Options ――――――――――――――――――――――――――――― tolerances f_tol g_tol x_tol iterations maxrepeats δ 0 1e-8 0 25 θ 1e-8 1e-4 1e-5 50 3 threads machcpus machthr specthr blasthr mktthr inthr 32 64 1 1 1 1 loop vectorization true ――――――――――――――――――――――――――――― Memory Conservation ―――――――――――――――――――――――――――――― memsave false ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ End of Summary ∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧∧ □ ■ □ Mixed Logit with Share Constraint ■ ■ □ _________________________________ itr obj fun value gradient norm time theta coefficients --- -------------- -------------- ------- 0 +6492.50516622 950.29860814 0.00 +0.00 +0.00 +0.00 +0.50 +0.50 1 +5777.73491584 196.77808584 7.84 +0.48 +0.24 +0.31 +0.28 +0.46 2 +5709.72811582 22.85175330 14.27 +1.12 +0.11 +0.53 +0.21 +0.33 3 +5709.42553018 8.40005763 20.60 +1.27 +0.08 +0.54 +0.20 +0.56 4 +5708.95528596 2.07746181 27.13 +1.27 +0.08 +0.55 +0.23 +0.47 5 +5708.95528596 2.07746181 28.58 +1.27 +0.08 +0.55 +0.23 +0.47 6 +5708.95528596 2.07746181 30.08 +1.27 +0.08 +0.55 +0.23 +0.47 7 +5708.91637247 4.49924707 36.49 +1.26 +0.10 +0.56 +0.29 +0.45 8 +5708.87689013 0.48643094 43.07 +1.26 +0.11 +0.57 +0.31 +0.44 9 +5708.84966990 1.76047035 49.96 +1.26 +0.12 +0.58 +0.35 +0.44 10 +5708.81624994 1.98052056 54.80 +1.26 +0.14 +0.60 +0.39 +0.44 11 +5708.78086075 2.15352340 58.82 +1.26 +0.16 +0.62 +0.44 +0.45 12 +5708.74561504 2.25079016 63.76 +1.26 +0.18 +0.64 +0.49 +0.45 13 +5708.71293270 2.25571378 69.25 +1.26 +0.21 +0.67 +0.55 +0.45 14 +5708.68539190 2.16882679 73.69 +1.26 +0.24 +0.69 +0.60 +0.46 15 +5708.66559471 2.00574056 80.06 +1.26 +0.27 +0.73 +0.66 +0.46 16 +5708.65604653 1.97271891 86.42 +1.26 +0.30 +0.76 +0.73 +0.46 17 +5708.64968250 0.07963419 93.03 +1.25 +0.30 +0.75 +0.71 +0.46 18 +5708.64968250 0.07963419 94.47 +1.25 +0.30 +0.75 +0.71 +0.46 19 +5708.64968250 0.07963419 95.93 +1.25 +0.30 +0.75 +0.71 +0.46 20 +5708.64913934 0.08877654 102.32 +1.25 +0.30 +0.76 +0.72 +0.46 21 +5708.64879300 0.07627796 108.72 +1.25 +0.31 +0.76 +0.73 +0.46 22 +5708.64864531 0.07518892 115.29 +1.26 +0.31 +0.77 +0.74 +0.46 23 +5708.64864531 0.07518892 116.75 +1.26 +0.31 +0.77 +0.74 +0.46 24 +5708.64861901 0.01158735 123.24 +1.25 +0.31 +0.77 +0.74 +0.46 25 +5708.64861901 0.01158735 124.72 +1.25 +0.31 +0.77 +0.74 +0.46 26 +5708.64861724 0.00381346 131.14 +1.25 +0.31 +0.77 +0.74 +0.46 27 +5708.64861724 0.00381346 132.65 +1.25 +0.31 +0.77 +0.74 +0.46 28 +5708.64861706 0.00091168 139.21 +1.25 +0.31 +0.77 +0.74 +0.46 29 +5708.64861706 0.00091168 140.74 +1.25 +0.31 +0.77 +0.74 +0.46 30 +5708.64861706 0.00091168 142.21 +1.25 +0.31 +0.77 +0.74 +0.46 31 +5708.64861705 0.00029604 148.75 +1.25 +0.31 +0.77 +0.74 +0.46 32 +5708.64861704 0.00025559 155.26 +1.25 +0.31 +0.77 +0.74 +0.46 [ Info: computing asymptotic variance if requested ┌ Warning: standard errors not yet implemented for this case └ @ Grumps ~/.julia/packages/Grumps/IRWfl/src/common/inference/ingredients.jl:14 Grumps.jl: Test Failed at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 Expression: isapprox(getθcoef(sol), resultsdict["θsol$(meth)"], rtol = 0.01) Evaluated: isapprox([1.2541526118591828, 0.3119053271514765, 0.7666333235568925, 0.7370718668812454, 0.4601655362792206], [1.2421753978451857, 0.33273469460350813, 0.7829041432788583, 0.7689233526084764, 0.43319586605421034]; rtol = 0.01) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:679 [inlined] [2] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/testexample.jl:58 [3] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:301 [4] top-level scope @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.12/Test/src/Test.jl:1724 [inlined] [6] macro expansion @ ~/.julia/packages/Grumps/IRWfl/test/runtests.jl:8 [inlined] Test Summary: | Pass Fail Total Time Grumps.jl | 12 9 21 23m27.4s ERROR: LoadError: Some tests did not pass: 12 passed, 9 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/Grumps/IRWfl/test/runtests.jl:7 Testing failed after 1458.47s ERROR: LoadError: Package Grumps errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/Operations.jl:2359 [3] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/Operations.jl:2214 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.12/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:159 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [7] test @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:147 [inlined] [8] #test#81 @ /opt/julia/share/julia/stdlib/v1.12/Pkg/src/API.jl:146 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 [10] include(mod::Module, _path::String) @ Base ./Base.jl:300 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:329 [12] _start() @ Base ./client.jl:558 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1647.5s: package has test failures