Package evaluation to test SimSearchManifoldLearning on Julia 1.14.0-DEV.1699 (9484a92029*) started at 2026-02-10T23:10:01.240 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 10.48s ################################################################################ # Installation # Installing SimSearchManifoldLearning... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [ca7ab67e] + SimSearchManifoldLearning v0.3.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.21.0 [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [7d9fca2a] + Arpack v0.5.4 [4fba245c] + ArrayInterface v7.22.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.7 [fb6a15b2] + CloseOpenIntervals v0.1.13 [861a8166] + Combinatorics v1.1.0 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.7.16 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.123 [ffbed154] + DocStringExtensions v0.9.5 [1a297f60] + FillArrays v1.16.0 [6a86dc24] + FiniteDiff v2.29.0 ⌅ [f6369f11] + ForwardDiff v0.10.39 ⌃ [86223c79] + Graphs v1.13.1 [34004b35] + HypergeometricFunctions v0.3.28 [615f187c] + IfElse v0.1.1 [d25df0c9] + Inflate v0.1.5 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.6 [692b3bcd] + JLLWrappers v1.7.1 [10f19ff3] + LayoutPointers v0.1.17 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [2fda8390] + LsqFit v0.12.1 [1914dd2f] + MacroTools v0.5.16 [06eb3307] + ManifoldLearning v0.9.0 [d125e4d3] + ManualMemory v0.1.8 [e1d29d7a] + Missings v1.2.0 ⌅ [6f286f6a] + MultivariateStats v0.9.0 ⌅ [d41bc354] + NLSolversBase v7.10.0 [77ba4419] + NaNMath v1.1.3 [87e2bd06] + OptimBase v2.0.2 [bac558e1] + OrderedCollections v1.8.1 ⌃ [90014a1f] + PDMats v0.11.35 [f517fe37] + Polyester v0.7.18 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.1 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.9.0 [94e857df] + SIMDTypes v0.1.0 [431bcebd] + SciMLPublic v1.0.1 [0e966ebe] + SearchModels v0.5.0 [efcf1570] + Setfield v1.1.2 [ca7ab67e] + SimSearchManifoldLearning v0.3.2 [053f045d] + SimilaritySearch v0.13.8 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [276daf66] + SpecialFunctions v2.6.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.9.0 [90137ffa] + StaticArrays v1.9.16 [1e83bf80] + StaticArraysCore v1.4.4 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [4c63d2b9] + StatsFuns v1.5.2 [7792a7ef] + StrideArraysCore v0.5.8 [8290d209] + ThreadingUtilities v0.5.5 ⌅ [68821587] + Arpack_jll v3.5.2+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays 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 v1.3.0+1 [4536629a] + OpenBLAS_jll v0.3.30+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 6.97s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 5371.5 ms ✓ LsqFit 8023.2 ms ✓ SimSearchManifoldLearning 2 dependencies successfully precompiled in 16 seconds. 131 already precompiled. Precompilation completed after 35.82s ################################################################################ # Testing # Testing SimSearchManifoldLearning Status `/tmp/jl_siQih4/Project.toml` [7d9fca2a] Arpack v0.5.4 [b4f34e82] Distances v0.10.12 ⌅ [2fda8390] LsqFit v0.12.1 [06eb3307] ManifoldLearning v0.9.0 [f517fe37] Polyester v0.7.18 [ca7ab67e] SimSearchManifoldLearning v0.3.2 [053f045d] SimilaritySearch v0.13.8 [82ae8749] StatsAPI v1.8.0 [37e2e46d] LinearAlgebra v1.13.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_siQih4/Manifest.toml` [47edcb42] ADTypes v1.21.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.22.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.7 [fb6a15b2] CloseOpenIntervals v0.1.13 [861a8166] Combinatorics v1.1.0 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.7.16 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.123 [ffbed154] DocStringExtensions v0.9.5 [1a297f60] FillArrays v1.16.0 [6a86dc24] FiniteDiff v2.29.0 ⌅ [f6369f11] ForwardDiff v0.10.39 ⌃ [86223c79] Graphs v1.13.1 [34004b35] HypergeometricFunctions v0.3.28 [615f187c] IfElse v0.1.1 [d25df0c9] Inflate v0.1.5 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.6 [692b3bcd] JLLWrappers v1.7.1 [10f19ff3] LayoutPointers v0.1.17 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [2fda8390] LsqFit v0.12.1 [1914dd2f] MacroTools v0.5.16 [06eb3307] ManifoldLearning v0.9.0 [d125e4d3] ManualMemory v0.1.8 [e1d29d7a] Missings v1.2.0 ⌅ [6f286f6a] MultivariateStats v0.9.0 ⌅ [d41bc354] NLSolversBase v7.10.0 [77ba4419] NaNMath v1.1.3 [87e2bd06] OptimBase v2.0.2 [bac558e1] OrderedCollections v1.8.1 ⌃ [90014a1f] PDMats v0.11.35 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.1 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.9.0 [94e857df] SIMDTypes v0.1.0 [431bcebd] SciMLPublic v1.0.1 [0e966ebe] SearchModels v0.5.0 [efcf1570] Setfield v1.1.2 [ca7ab67e] SimSearchManifoldLearning v0.3.2 [053f045d] SimilaritySearch v0.13.8 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [276daf66] SpecialFunctions v2.6.1 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [90137ffa] StaticArrays v1.9.16 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.8.0 ⌅ [2913bbd2] StatsBase v0.33.21 [4c63d2b9] StatsFuns v1.5.2 [7792a7ef] StrideArraysCore v0.5.8 [8290d209] ThreadingUtilities v0.5.5 ⌅ [68821587] Arpack_jll v3.5.2+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.13.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays 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 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [4536629a] OpenBLAS_jll v0.3.30+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. Testing Running tests... 1.707347 seconds (383.50 k allocations: 24.245 MiB, 97.89% compilation time) LOG add_vertex! sp=1 ep=1 n=1 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-02-10T23:12:00.977 LOG n.size quantiles:[0.0, 0.0, 0.0, 0.0, 0.0] LOG add_vertex! sp=2 ep=2 n=2 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-02-10T23:12:04.459 LOG n.size quantiles:[1.0, 1.0, 1.0, 1.0, 1.0] LOG add_vertex! sp=295 ep=299 n=294 BeamSearch(bsize=10, Δ=0.8163265, maxvisits=124) 2026-02-10T23:12:19.905 LOG n.size quantiles:[3.0, 3.0, 3.0, 3.0, 4.0] 0.451884 seconds (78.34 k allocations: 4.637 MiB, 98.06% compilation time) 1.610587 seconds (270.85 k allocations: 17.049 MiB, 97.51% compilation time) LOG add_vertex! sp=1 ep=1 n=1 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-02-10T23:12:34.439 LOG n.size quantiles:[0.0, 0.0, 0.0, 0.0, 0.0] LOG add_vertex! sp=2 ep=2 n=2 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-02-10T23:12:36.239 LOG n.size quantiles:[1.0, 1.0, 1.0, 1.0, 1.0] LOG add_vertex! sp=295 ep=299 n=294 BeamSearch(bsize=2, Δ=1.075, maxvisits=118) 2026-02-10T23:12:45.959 LOG n.size quantiles:[2.0, 3.0, 3.0, 4.0, 4.0] 0.425402 seconds (78.34 k allocations: 4.640 MiB, 97.01% compilation time) Test Summary: | Pass Total Time SimilaritySearch for ManifoldLearning api | 4 4 1m32.9s Test Summary: | Pass Total Time utils tests | 3 3 4.8s 4.419300 seconds (1.69 M allocations: 103.914 MiB, 1.24% gc time, 100.00% compilation time) 0.000063 seconds (16 allocations: 1.062 KiB) 0.051010 seconds (3.25 k allocations: 176.570 KiB, 97.73% compilation time) *** computing graph input type stability tests: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:11 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::RandomLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, layout::RandomLayout}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{layout::RandomLayout}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{layout::RandomLayout}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:12 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:12 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000752 seconds (34 allocations: 13.227 KiB) *** computing graph layouts: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:20 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::RandomLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, layout::RandomLayout}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{layout::RandomLayout}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{layout::RandomLayout}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:21 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:21 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000737 seconds (34 allocations: 13.195 KiB) *** computing graph dimensions: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:27 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::RandomLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, maxoutdim::Int64, layout::RandomLayout}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{maxoutdim::Int64, layout::RandomLayout}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{maxoutdim::Int64, layout::RandomLayout}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:28 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:28 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000676 seconds (34 allocations: 13.195 KiB) *** computing graph reusing umap: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:33 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::RandomLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, maxoutdim::Int64, layout::RandomLayout}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{maxoutdim::Int64, layout::RandomLayout}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{maxoutdim::Int64, layout::RandomLayout}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:34 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:34 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:489 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 fuzzy_simpl_set: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:40 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{Int32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{Int32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{Int32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] fuzzy_simplicial_set(knns::Matrix{Int32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:43 [inlined] [8] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [9] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:46 [inlined] [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:489 [15] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [16] _start() @ Base ./client.jl:585 (rhos, sigmas) = (Float32[1.0, 2.0, 3.0], Float32[1.9829102, 2.5358887, 2.6249695]) ┌ Info: [2.321931655873457, 2.321930914055594, 2.3219283113392373] │ diffs = │ 3-element Vector{Float64}: │ 3.560986094885976e-6 │ 2.819168231749103e-6 └ 2.164518750902289e-7 (:last => rhos, sigmas) = (:last => Float32[0.0, 1.0, 2.0], Float32[5.421011f-20, 5.421011f-20, 5.421011f-20]) compute_membership_strengths: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:127 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{Int64}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] compute_membership_strengths(knns::Matrix{Int64}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [5] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:128 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:135 [inlined] [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [9] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ none:6 [12] eval(m::Module, e::Any) @ Core ./boot.jl:489 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [14] _start() @ Base ./client.jl:585 optimize_embedding: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:143 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] optimize_embedding(graph::SparseMatrixCSC{Float64, Int64}, query_embedding_::Matrix{Float64}, ref_embedding_::Matrix{Float64}, n_epochs::Int64, learning_rate::Float32, repulsion_strength::Float32, neg_sample_rate::Int64, a::Float32, b::Float32; tol::Float64, learning_rate_decay::Float32, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/embeddings.jl:44 [2] optimize_embedding(graph::SparseMatrixCSC{Float64, Int64}, query_embedding_::Matrix{Float64}, ref_embedding_::Matrix{Float64}, n_epochs::Int64, learning_rate::Float32, repulsion_strength::Float32, neg_sample_rate::Int64, a::Float32, b::Float32) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/embeddings.jl:25 [3] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [5] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:144 [inlined] [6] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [7] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:159 [inlined] [8] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [9] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [11] top-level scope @ none:6 [12] eval(m::Module, e::Any) @ Core ./boot.jl:489 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [14] _start() @ Base ./client.jl:585 [ Info: spectral_layout! [ Info: initialize_embedding [ Info: Matrix{Float32} => Matrix{Float32} [ Info: ===== umap predict ===== 0.000192 seconds (33 allocations: 2.203 KiB) *** computing graph argument validation tests: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:207 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::SpectralLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, maxoutdim::Int64, n_epochs::Int64}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{maxoutdim::Int64, n_epochs::Int64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{maxoutdim::Int64, k::Int64, n_epochs::Int64}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:206 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:208 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [16] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:208 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:585 0.000128 seconds (33 allocations: 2.203 KiB) *** computing graph transform test: Error During Test at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:217 Got exception outside of a @test MethodError: no method matching getminbatch(::Int64, ::Int64) The function `getminbatch` exists, but no method is defined for this combination of argument types. Closest candidates are: getminbatch(::Int64, ::Int64, !Matched::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:53 getminbatch(!Matched::GenericContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/SimilaritySearch.jl:93 getminbatch(!Matched::SearchGraphContext, ::Int64) @ SimilaritySearch ~/.julia/packages/SimilaritySearch/OQ26Z/src/searchgraph/context.jl:108 Stacktrace: [1] compute_membership_strengths(knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:432 [2] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(compute_membership_strengths), knns::Matrix{UInt32}, dists::Matrix{Float32}, local_connectivity::Int64, fitting::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:428 [3] fuzzy_simplicial_set(knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool; minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:350 [4] kwcall(::@NamedTuple{minbatch::Int64}, ::typeof(fuzzy_simplicial_set), knns::Matrix{UInt32}, dists::Matrix{Float32}, n_points::Int64, local_connectivity::Int64, set_operation_ratio::Float32, fitting::Bool, apply_fuzzy_combine::Bool) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:340 [5] macro expansion @ ./timing.jl:503 [inlined] [6] fit(::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}; maxoutdim::Int64, n_epochs::Int64, learning_rate::Float32, learning_rate_decay::Float32, layout::SpectralLayout, min_dist::Float32, spread::Float32, set_operation_ratio::Float32, local_connectivity::Int64, repulsion_strength::Float32, neg_sample_rate::Int64, tol::Float64, minbatch::Int64) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:98 [7] kwcall(::@NamedTuple{minbatch::Int64, n_epochs::Int64}, ::typeof(fit), ::Type{UMAP}, knns::Matrix{UInt32}, dists::Matrix{Float32}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:63 [8] fit(t::Type{UMAP}, index_or_data::Matrix{Float64}; k::Int64, dist::L2Distance, searchctx::Nothing, minbatch::Int64, kwargs::@Kwargs{n_epochs::Int64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:164 [9] kwcall(::@NamedTuple{k::Int64, n_epochs::Int64}, ::typeof(fit), t::Type{UMAP}, index_or_data::Matrix{Float64}) @ SimSearchManifoldLearning ~/.julia/packages/SimSearchManifoldLearning/i8VSL/src/umap_.jl:135 [10] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:3 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [12] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:206 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [14] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:218 [inlined] [15] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2244 [inlined] [16] macro expansion @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:218 [inlined] [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [18] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:489 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:585 Test Summary: | Pass Error Total Time umap tests | 13 9 22 1m01.4s constructor | 3 3 6.6s input type stability tests | 1 1 5.1s layouts | 1 1 0.0s dimensions | 1 1 0.3s reusing umap | 1 1 0.0s fuzzy_simpl_set | 1 1 0.3s smooth_knn_dists | 4 4 5.9s compute_membership_strengths | 1 1 0.3s optimize_embedding | 1 1 16.9s spectral_layout | 2 2 19.7s initialize_embedding | 4 4 5.7s umap predict | 2 2 0.5s argument validation tests | 1 1 0.3s transform test | 1 1 0.3s RNG of the outermost testset: Xoshiro(0x965af34e12aca116, 0xd4b5904e6f5a7bf5, 0xcb332cd6f5da1fbb, 0x98f56808f654298e, 0x3b315caaea4bd67e) ERROR: LoadError: Some tests did not pass: 13 passed, 0 failed, 9 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/umap_tests.jl:2 in expression starting at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 Testing failed after 186.26s ERROR: LoadError: Package SimSearchManifoldLearning errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3122 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2987 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 256.19s: package tests unexpectedly errored