Package evaluation to test SimSearchManifoldLearning on Julia 1.14.0-DEV.1893 (b4aba01002*) started at 2026-03-15T21:46:48.855 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.87s ################################################################################ # 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 v4.5.0 [66dad0bd] + AliasTables v1.1.3 [ec485272] + ArnoldiMethod v0.4.0 [7d9fca2a] + Arpack v0.5.4 [4fba245c] + ArrayInterface v7.23.0 [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 v0.7.19 [1d0040c9] + PolyesterWeave v0.2.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.2 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [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 v2.7.1 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.9.0 [90137ffa] + StaticArrays v1.9.18 [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 7.24s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling packages... 7054.0 ms ✓ SimilaritySearch 7669.3 ms ✓ SimSearchManifoldLearning 2 dependencies successfully precompiled in 17 seconds. 131 already precompiled. 9 dependencies precompiled but different versions are currently loaded (Base64, Dates, JuliaSyntaxHighlighting, Logging, Markdown, Printf, StyledStrings, TOML and UUIDs). Restart julia to access the new versions. Otherwise, 71 dependents of these packages may trigger further precompilation to work with the unexpected versions. Precompilation completed after 40.91s ################################################################################ # Testing # Testing SimSearchManifoldLearning Status `/tmp/jl_hJMyKJ/Project.toml` [7d9fca2a] Arpack v0.5.4 [b4f34e82] Distances v0.10.12 ⌅ [2fda8390] LsqFit v0.12.1 [06eb3307] ManifoldLearning v0.9.0 [f517fe37] Polyester v0.7.19 [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_hJMyKJ/Manifest.toml` [47edcb42] ADTypes v1.21.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.5.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.23.0 [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 v0.7.19 [1d0040c9] PolyesterWeave v0.2.2 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.2 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.4.0 [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 v2.7.1 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.9.0 [90137ffa] StaticArrays v1.9.18 [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... 2.146665 seconds (387.57 k allocations: 24.363 MiB, 97.94% compilation time) LOG add_vertex! sp=1 ep=1 n=1 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-03-15T21:48:55.153 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) 2026-03-15T21:48:58.769 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=0.83809525, maxvisits=106) 2026-03-15T21:49:13.495 LOG n.size quantiles:[2.0, 3.0, 3.0, 3.0, 4.0] 0.397373 seconds (79.20 k allocations: 4.647 MiB, 97.54% compilation time) 1.813452 seconds (272.15 k allocations: 17.017 MiB, 97.72% compilation time) LOG add_vertex! sp=1 ep=1 n=1 BeamSearch(bsize=4, Δ=1.0, maxvisits=1000000) 2026-03-15T21:49:28.472 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) 2026-03-15T21:49:30.291 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=0.84, maxvisits=130) 2026-03-15T21:49:40.737 LOG n.size quantiles:[2.0, 3.0, 4.0, 4.0, 4.0] 0.394391 seconds (79.20 k allocations: 4.647 MiB, 97.43% compilation time) Test Summary: | Pass Total Time SimilaritySearch for ManifoldLearning api | 4 4 1m32.0s Test Summary: | Pass Total Time utils tests | 3 3 4.3s 4.696281 seconds (1.69 M allocations: 103.877 MiB, 1.14% gc time, 100.00% compilation time) 0.000050 seconds (16 allocations: 1.062 KiB) 0.047584 seconds (3.33 k allocations: 182.242 KiB, 97.85% 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:2243 [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:2243 [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:324 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:517 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000801 seconds (34 allocations: 13.195 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:2243 [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:2243 [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:324 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:517 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000835 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:2243 [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:2243 [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:324 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:517 [20] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [21] _start() @ Base ./client.jl:585 0.000778 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:2243 [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:2243 [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:324 [16] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [18] top-level scope @ none:6 [19] eval(m::Module, e::Any) @ Core ./boot.jl:517 [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:2243 [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:2243 [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:324 [11] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [12] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [13] top-level scope @ none:6 [14] eval(m::Module, e::Any) @ Core ./boot.jl:517 [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:2243 [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:2243 [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:324 [9] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [11] top-level scope @ none:6 [12] eval(m::Module, e::Any) @ Core ./boot.jl:517 [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:2243 [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:2243 [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:324 [9] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [10] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [11] top-level scope @ none:6 [12] eval(m::Module, e::Any) @ Core ./boot.jl:517 [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 ===== 0.000169 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:2243 [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:2243 [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:2243 [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:324 [18] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:517 [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [23] _start() @ Base ./client.jl:585 0.000123 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:2243 [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:2243 [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:2243 [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:324 [18] top-level scope @ ~/.julia/packages/SimSearchManifoldLearning/i8VSL/test/runtests.jl:15 [19] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:324 [20] top-level scope @ none:6 [21] eval(m::Module, e::Any) @ Core ./boot.jl:517 [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 1m00.2s constructor | 3 3 6.7s input type stability tests | 1 1 5.1s layouts | 1 1 0.0s dimensions | 1 1 0.2s reusing umap | 1 1 0.0s fuzzy_simpl_set | 1 1 0.3s smooth_knn_dists | 4 4 5.7s compute_membership_strengths | 1 1 0.2s optimize_embedding | 1 1 17.2s spectral_layout | 2 2 19.6s initialize_embedding | 4 4 4.6s umap predict | 2 2 0.4s argument validation tests | 1 1 0.2s transform test | 1 1 0.2s RNG of the outermost testset: Xoshiro(0x988c017aa7f07a0c, 0xcb6c93857c30762e, 0x997b4c853510fbac, 0x5ef86585e135a443, 0x9305014e4e4e44c7) 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 181.73s 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:3138 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3003 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:586 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:562 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [12] include(mod::Module, _path::String) @ Base ./Base.jl:323 [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 268.69s: package tests unexpectedly errored