Package evaluation of SimSearchManifoldLearning on Julia 1.13.0-DEV.111 (ce76dbf07d*) started at 2025-02-28T03:44:15.059


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 7.56s


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# Installation
#

Installing SimSearchManifoldLearning...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [ca7ab67e] + SimSearchManifoldLearning v0.2.10
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [79e6a3ab] + Adapt v4.2.0
  [66dad0bd] + AliasTables v1.1.3
  [ec485272] + ArnoldiMethod v0.4.0
  [7d9fca2a] + Arpack v0.5.4
  [4fba245c] + ArrayInterface v7.18.0
  [62783981] + BitTwiddlingConvenienceFunctions v0.1.6
  [2a0fbf3d] + CPUSummary v0.2.6
  [fb6a15b2] + CloseOpenIntervals v0.1.13
  [861a8166] + Combinatorics v1.0.2
  [bbf7d656] + CommonSubexpressions v0.3.1
  [f70d9fcc] + CommonWorldInvalidations v1.0.0
  [34da2185] + Compat v4.16.0
  [187b0558] + ConstructionBase v1.5.8
  [adafc99b] + CpuId v0.3.1
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.20
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [b4f34e82] + Distances v0.10.12
  [31c24e10] + Distributions v0.25.117
  [ffbed154] + DocStringExtensions v0.9.3
  [5789e2e9] + FileIO v1.17.0
  [1a297f60] + FillArrays v1.13.0
  [6a86dc24] + FiniteDiff v2.27.0
  [f6369f11] + ForwardDiff v0.10.38
  [86223c79] + Graphs v1.12.0
  [3e5b6fbb] + HostCPUFeatures v0.1.17
  [34004b35] + HypergeometricFunctions v0.3.27
  [615f187c] + IfElse v0.1.1
  [d25df0c9] + Inflate v0.1.5
  [92d709cd] + IrrationalConstants v0.2.4
⌅ [033835bb] + JLD2 v0.4.54
  [692b3bcd] + JLLWrappers v1.7.0
  [10f19ff3] + LayoutPointers v0.1.17
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [bdcacae8] + LoopVectorization v0.12.171
⌅ [2fda8390] + LsqFit v0.12.1
  [1914dd2f] + MacroTools v0.5.15
  [06eb3307] + ManifoldLearning v0.9.0
  [d125e4d3] + ManualMemory v0.1.8
  [e1d29d7a] + Missings v1.2.0
⌅ [6f286f6a] + MultivariateStats v0.9.0
  [d41bc354] + NLSolversBase v7.8.3
  [77ba4419] + NaNMath v1.1.2
  [6fe1bfb0] + OffsetArrays v1.15.0
  [87e2bd06] + OptimBase v2.0.2
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.32
  [d96e819e] + Parameters v0.12.3
  [f517fe37] + Polyester v0.7.16
  [1d0040c9] + PolyesterWeave v0.2.2
  [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [189a3867] + Reexport v1.2.2
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [94e857df] + SIMDTypes v0.1.0
  [476501e8] + SLEEFPirates v0.6.43
⌅ [0e966ebe] + SearchModels v0.3.3
  [efcf1570] + Setfield v1.1.2
  [ca7ab67e] + SimSearchManifoldLearning v0.2.10
  [053f045d] + SimilaritySearch v0.11.10
  [699a6c99] + SimpleTraits v0.9.4
  [a2af1166] + SortingAlgorithms v1.2.1
  [276daf66] + SpecialFunctions v2.5.0
  [aedffcd0] + Static v1.1.1
  [0d7ed370] + StaticArrayInterface v1.8.0
  [90137ffa] + StaticArrays v1.9.12
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
⌅ [2913bbd2] + StatsBase v0.33.21
  [4c63d2b9] + StatsFuns v1.3.2
  [7792a7ef] + StrideArraysCore v0.5.7
  [8290d209] + ThreadingUtilities v0.5.2
  [3bb67fe8] + TranscodingStreams v0.11.3
  [3a884ed6] + UnPack v1.0.2
  [3d5dd08c] + VectorizationBase v0.21.71
⌅ [68821587] + Arpack_jll v3.5.1+1
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
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  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.7.0
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  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
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  [a63ad114] + Mmap v1.11.0
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  [2f01184e] + SparseArrays v1.12.0
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  [4607b0f0] + SuiteSparse
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  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] + LibCURL_jll v8.11.1+1
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  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2024.12.31
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.0.16+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+0
  [8e850ede] + nghttp2_jll v1.64.0+1
  [3f19e933] + p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Installation completed after 3.65s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 315.67s


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# Testing
#

     Testing SimSearchManifoldLearning
      Status `/tmp/jl_Qx0yUt/Project.toml`
  [7d9fca2a] Arpack v0.5.4
  [b4f34e82] Distances v0.10.12
⌅ [2fda8390] LsqFit v0.12.1
  [06eb3307] ManifoldLearning v0.9.0
  [f517fe37] Polyester v0.7.16
  [ca7ab67e] SimSearchManifoldLearning v0.2.10
  [053f045d] SimilaritySearch v0.11.10
  [82ae8749] StatsAPI v1.7.0
  [37e2e46d] LinearAlgebra v1.12.0
  [9a3f8284] Random v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_Qx0yUt/Manifest.toml`
  [79e6a3ab] Adapt v4.2.0
  [66dad0bd] AliasTables v1.1.3
  [ec485272] ArnoldiMethod v0.4.0
  [7d9fca2a] Arpack v0.5.4
  [4fba245c] ArrayInterface v7.18.0
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [2a0fbf3d] CPUSummary v0.2.6
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [861a8166] Combinatorics v1.0.2
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.16.0
  [187b0558] ConstructionBase v1.5.8
  [adafc99b] CpuId v0.3.1
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.20
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [b4f34e82] Distances v0.10.12
  [31c24e10] Distributions v0.25.117
  [ffbed154] DocStringExtensions v0.9.3
  [5789e2e9] FileIO v1.17.0
  [1a297f60] FillArrays v1.13.0
  [6a86dc24] FiniteDiff v2.27.0
  [f6369f11] ForwardDiff v0.10.38
  [86223c79] Graphs v1.12.0
  [3e5b6fbb] HostCPUFeatures v0.1.17
  [34004b35] HypergeometricFunctions v0.3.27
  [615f187c] IfElse v0.1.1
  [d25df0c9] Inflate v0.1.5
  [92d709cd] IrrationalConstants v0.2.4
⌅ [033835bb] JLD2 v0.4.54
  [692b3bcd] JLLWrappers v1.7.0
  [10f19ff3] LayoutPointers v0.1.17
  [2ab3a3ac] LogExpFunctions v0.3.29
  [bdcacae8] LoopVectorization v0.12.171
⌅ [2fda8390] LsqFit v0.12.1
  [1914dd2f] MacroTools v0.5.15
  [06eb3307] ManifoldLearning v0.9.0
  [d125e4d3] ManualMemory v0.1.8
  [e1d29d7a] Missings v1.2.0
⌅ [6f286f6a] MultivariateStats v0.9.0
  [d41bc354] NLSolversBase v7.8.3
  [77ba4419] NaNMath v1.1.2
  [6fe1bfb0] OffsetArrays v1.15.0
  [87e2bd06] OptimBase v2.0.2
  [bac558e1] OrderedCollections v1.8.0
  [90014a1f] PDMats v0.11.32
  [d96e819e] Parameters v0.12.3
  [f517fe37] Polyester v0.7.16
  [1d0040c9] PolyesterWeave v0.2.2
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [43287f4e] PtrArrays v1.3.0
  [1fd47b50] QuadGK v2.11.2
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.1
  [79098fc4] Rmath v0.8.0
  [94e857df] SIMDTypes v0.1.0
  [476501e8] SLEEFPirates v0.6.43
⌅ [0e966ebe] SearchModels v0.3.3
  [efcf1570] Setfield v1.1.2
  [ca7ab67e] SimSearchManifoldLearning v0.2.10
  [053f045d] SimilaritySearch v0.11.10
  [699a6c99] SimpleTraits v0.9.4
  [a2af1166] SortingAlgorithms v1.2.1
  [276daf66] SpecialFunctions v2.5.0
  [aedffcd0] Static v1.1.1
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.12
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.0
⌅ [2913bbd2] StatsBase v0.33.21
  [4c63d2b9] StatsFuns v1.3.2
  [7792a7ef] StrideArraysCore v0.5.7
  [8290d209] ThreadingUtilities v0.5.2
  [3bb67fe8] TranscodingStreams v0.11.3
  [3a884ed6] UnPack v1.0.2
  [3d5dd08c] VectorizationBase v0.21.71
⌅ [68821587] Arpack_jll v3.5.1+1
  [efe28fd5] OpenSpecFun_jll v0.5.6+0
  [f50d1b31] Rmath_jll v0.5.1+0
  [0dad84c5] ArgTools v1.1.2
  [56f22d72] Artifacts v1.11.0
  [2a0f44e3] Base64 v1.11.0
  [ade2ca70] Dates v1.11.0
  [8ba89e20] Distributed v1.11.0
  [f43a241f] Downloads v1.7.0
  [7b1f6079] FileWatching v1.11.0
  [9fa8497b] Future v1.11.0
  [b77e0a4c] InteractiveUtils v1.11.0
  [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2 v1.11.0
  [8f399da3] Libdl v1.11.0
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [a63ad114] Mmap v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.12.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
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  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.12.0
  [f489334b] StyledStrings v1.11.0
  [4607b0f0] SuiteSparse
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test v1.11.0
  [cf7118a7] UUIDs v1.11.0
  [4ec0a83e] Unicode v1.11.0
  [e66e0078] CompilerSupportLibraries_jll v1.3.0+1
  [deac9b47] LibCURL_jll v8.11.1+1
  [e37daf67] LibGit2_jll v1.9.0+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2024.12.31
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.0.16+0
  [bea87d4a] SuiteSparse_jll v7.8.3+2
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.12.0+0
  [8e850ede] nghttp2_jll v1.64.0+1
  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in initialize_task(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/3z3g0/src/ThreadingUtilities.jl
Precompiling packages...
  10468.5 ms  ✓ Distributions → DistributionsTestExt
  1 dependency successfully precompiled in 13 seconds. 55 already precompiled.
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in searchbatch(SimilaritySearch.AbstractSearchIndex, SimilaritySearch.AbstractContext, SimilaritySearch.AbstractDatabase, AbstractArray{SimilaritySearch.KnnResult, 1}) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/SimilaritySearch.jl
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in checktask(Any) at /home/pkgeval/.julia/packages/ThreadingUtilities/3z3g0/src/threadtasks.jl
  1.773843 seconds (681.70 k allocations: 35.698 MiB, 95.63% compilation time)
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in _parallel_append_items_loop!(SimilaritySearch.SearchGraph{DistType, DataType, AdjType, SType} where SType<:SimilaritySearch.LocalSearchAlgorithm where AdjType<:(SimilaritySearch.AdjacencyLists.AbstractAdjacencyList{EndPointType} where EndPointType) where DataType<:SimilaritySearch.AbstractDatabase where DistType<:Distances.SemiMetric, SimilaritySearch.SearchGraphContext, Any, Any) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/searchgraph/insertions.jl
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in connect_reverse_links(SimilaritySearch.AdjacencyLists.AbstractAdjacencyList{EndPointType} where EndPointType, Integer, Integer) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/searchgraph/neighborhood.jl
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in var"#fft#138"(Any, SimilaritySearch.var"#fft", Distances.SemiMetric, SimilaritySearch.AbstractDatabase, Integer) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/fft.jl
computing farthest point 1, dmax: Inf, imax: 3, n: 3
computing farthest point 2, dmax: 2.0863872, imax: 1, n: 3
computing farthest point 3, dmax: 0.63026506, imax: 2, n: 3
(n, m, k, length(A.centers)) = (14, 4, 3, 3)
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in (::SimilaritySearch.var"#lossfun#create_error_function##2"{index, context, gold, knnlist, queries, ksearch, verbose, R, cov, vacc, vmax, vmin, m})(Any) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/opt.jl
computing farthest point 1, dmax: Inf, imax: 4, n: 4
computing farthest point 2, dmax: 2.1047835, imax: 2, n: 4
computing farthest point 3, dmax: 1.1688327, imax: 3, n: 4
computing farthest point 4, dmax: 0.55114406, imax: 1, n: 4
(n, m, k, length(A.centers)) = (19, 5, 4, 4)
computing farthest point 1, dmax: Inf, imax: 3, n: 5
computing farthest point 2, dmax: 1.9730016, imax: 4, n: 5
computing farthest point 3, dmax: 1.1538074, imax: 5, n: 5
computing farthest point 4, dmax: 0.9384946, imax: 2, n: 5
computing farthest point 5, dmax: 0.6236145, imax: 1, n: 5
(n, m, k, length(A.centers)) = (29, 6, 5, 5)
computing farthest point 1, dmax: Inf, imax: 3, n: 7
computing farthest point 2, dmax: 2.2140164, imax: 6, n: 7
computing farthest point 3, dmax: 2.1291356, imax: 4, n: 7
computing farthest point 4, dmax: 1.8087555, imax: 2, n: 7
computing farthest point 5, dmax: 1.4473902, imax: 1, n: 7
computing farthest point 6, dmax: 0.9286712, imax: 7, n: 7
(n, m, k, length(A.centers)) = (39, 7, 6, 6)
computing farthest point 1, dmax: Inf, imax: 8, n: 8
computing farthest point 2, dmax: 3.151872, imax: 3, n: 8
computing farthest point 3, dmax: 2.2054796, imax: 6, n: 8
computing farthest point 4, dmax: 1.8333201, imax: 1, n: 8
computing farthest point 5, dmax: 0.85927975, imax: 2, n: 8
computing farthest point 6, dmax: 0.65361667, imax: 4, n: 8
computing farthest point 7, dmax: 0.58797354, imax: 7, n: 8
(n, m, k, length(A.centers)) = (59, 8, 7, 7)
append_items! sp=65, ep=69, n=69, BeamSearch
  bsize: Int32 26
  Δ: Float32 0.6f0
  maxvisits: Int64 70
, 2025-02-28T03:51:40.611
computing farthest point 1, dmax: Inf, imax: 1, n: 10
computing farthest point 2, dmax: 3.732119, imax: 7, n: 10
computing farthest point 3, dmax: 2.0783806, imax: 4, n: 10
computing farthest point 4, dmax: 1.9019723, imax: 3, n: 10
computing farthest point 5, dmax: 1.6123593, imax: 5, n: 10
computing farthest point 6, dmax: 1.2320276, imax: 9, n: 10
computing farthest point 7, dmax: 1.1777611, imax: 2, n: 10
computing farthest point 8, dmax: 1.0354953, imax: 10, n: 10
computing farthest point 9, dmax: 0.66885215, imax: 6, n: 10
(n, m, k, length(A.centers)) = (89, 10, 9, 9)
computing farthest point 1, dmax: Inf, imax: 5, n: 16
computing farthest point 2, dmax: 3.860899, imax: 9, n: 16
computing farthest point 3, dmax: 1.7379565, imax: 14, n: 16
computing farthest point 4, dmax: 1.4380676, imax: 11, n: 16
computing farthest point 5, dmax: 1.4201968, imax: 13, n: 16
computing farthest point 6, dmax: 1.2987062, imax: 2, n: 16
computing farthest point 7, dmax: 1.1609693, imax: 7, n: 16
computing farthest point 8, dmax: 0.77176213, imax: 6, n: 16
computing farthest point 9, dmax: 0.74143344, imax: 16, n: 16
computing farthest point 10, dmax: 0.6111823, imax: 1, n: 16
computing farthest point 11, dmax: 0.5366667, imax: 8, n: 16
computing farthest point 12, dmax: 0.47194463, imax: 10, n: 16
computing farthest point 13, dmax: 0.37916544, imax: 3, n: 16
computing farthest point 14, dmax: 0.35118988, imax: 12, n: 16
computing farthest point 15, dmax: 0.2498465, imax: 4, n: 16
computing farthest point 16, dmax: 0.22332759, imax: 15, n: 16
computing farthest point 17, dmax: 0.0, imax: 1, n: 16
(n, m, k, length(A.centers)) = (294, 18, 17, 17)
append_items! sp=385, ep=389, n=389, BeamSearch
  bsize: Int32 2
  Δ: Float32 0.88596f0
  maxvisits: Int64 122
, 2025-02-28T03:51:40.678
computing farthest point 1, dmax: Inf, imax: 18, n: 21
computing farthest point 2, dmax: 2.3885827, imax: 15, n: 21
computing farthest point 3, dmax: 2.3665624, imax: 8, n: 21
computing farthest point 4, dmax: 1.8511817, imax: 6, n: 21
computing farthest point 5, dmax: 1.4957557, imax: 20, n: 21
computing farthest point 6, dmax: 1.4892894, imax: 1, n: 21
computing farthest point 7, dmax: 1.4223799, imax: 16, n: 21
computing farthest point 8, dmax: 1.2969346, imax: 21, n: 21
computing farthest point 9, dmax: 1.2453927, imax: 10, n: 21
computing farthest point 10, dmax: 1.1520493, imax: 14, n: 21
computing farthest point 11, dmax: 1.0494463, imax: 11, n: 21
computing farthest point 12, dmax: 0.87743133, imax: 7, n: 21
computing farthest point 13, dmax: 0.6801648, imax: 9, n: 21
computing farthest point 14, dmax: 0.6449166, imax: 3, n: 21
computing farthest point 15, dmax: 0.6058491, imax: 19, n: 21
computing farthest point 16, dmax: 0.51501757, imax: 4, n: 21
computing farthest point 17, dmax: 0.5107342, imax: 5, n: 21
computing farthest point 18, dmax: 0.38858914, imax: 12, n: 21
computing farthest point 19, dmax: 0.35408235, imax: 2, n: 21
computing farthest point 20, dmax: 0.29145795, imax: 17, n: 21
(n, m, k, length(A.centers)) = (439, 21, 20, 20)
append_items! sp=470, ep=474, n=474, BeamSearch
  bsize: Int32 2
  Δ: Float32 0.97925943f0
  maxvisits: Int64 126
, 2025-02-28T03:51:40.724
computing farthest point 1, dmax: Inf, imax: 16, n: 26
computing farthest point 2, dmax: 3.4783628, imax: 26, n: 26
computing farthest point 3, dmax: 2.3471103, imax: 21, n: 26
computing farthest point 4, dmax: 1.9541663, imax: 9, n: 26
computing farthest point 5, dmax: 1.7157319, imax: 19, n: 26
computing farthest point 6, dmax: 1.7047375, imax: 3, n: 26
computing farthest point 7, dmax: 1.4078686, imax: 4, n: 26
computing farthest point 8, dmax: 1.3015047, imax: 25, n: 26
computing farthest point 9, dmax: 1.1630493, imax: 5, n: 26
computing farthest point 10, dmax: 1.0106955, imax: 24, n: 26
computing farthest point 11, dmax: 0.92587024, imax: 18, n: 26
computing farthest point 12, dmax: 0.8395418, imax: 6, n: 26
computing farthest point 13, dmax: 0.7895096, imax: 20, n: 26
computing farthest point 14, dmax: 0.78290164, imax: 22, n: 26
computing farthest point 15, dmax: 0.63427347, imax: 15, n: 26
computing farthest point 16, dmax: 0.5589151, imax: 13, n: 26
computing farthest point 17, dmax: 0.4967755, imax: 17, n: 26
computing farthest point 18, dmax: 0.46498787, imax: 8, n: 26
computing farthest point 19, dmax: 0.46056405, imax: 23, n: 26
computing farthest point 20, dmax: 0.43056616, imax: 10, n: 26
computing farthest point 21, dmax: 0.42764524, imax: 1, n: 26
computing farthest point 22, dmax: 0.2973586, imax: 12, n: 26
computing farthest point 23, dmax: 0.27211848, imax: 11, n: 26
computing farthest point 24, dmax: 0.25452837, imax: 14, n: 26
computing farthest point 25, dmax: 0.19662277, imax: 2, n: 26
(n, m, k, length(A.centers)) = (659, 26, 25, 25)
computing farthest point 1, dmax: Inf, imax: 6, n: 32
computing farthest point 2, dmax: 3.9216545, imax: 20, n: 32
computing farthest point 3, dmax: 2.205801, imax: 31, n: 32
computing farthest point 4, dmax: 2.153641, imax: 2, n: 32
computing farthest point 5, dmax: 1.8495417, imax: 25, n: 32
computing farthest point 6, dmax: 1.8008101, imax: 7, n: 32
computing farthest point 7, dmax: 1.563963, imax: 19, n: 32
computing farthest point 8, dmax: 1.222679, imax: 9, n: 32
computing farthest point 9, dmax: 1.1676006, imax: 23, n: 32
computing farthest point 10, dmax: 0.9715092, imax: 15, n: 32
computing farthest point 11, dmax: 0.9051888, imax: 30, n: 32
computing farthest point 12, dmax: 0.8748205, imax: 13, n: 32
computing farthest point 13, dmax: 0.85972726, imax: 29, n: 32
computing farthest point 14, dmax: 0.70308656, imax: 18, n: 32
computing farthest point 15, dmax: 0.6391438, imax: 22, n: 32
computing farthest point 16, dmax: 0.5161625, imax: 24, n: 32
computing farthest point 17, dmax: 0.5144195, imax: 12, n: 32
computing farthest point 18, dmax: 0.5100228, imax: 21, n: 32
computing farthest point 19, dmax: 0.508396, imax: 16, n: 32
computing farthest point 20, dmax: 0.4749173, imax: 3, n: 32
computing farthest point 21, dmax: 0.44559327, imax: 28, n: 32
computing farthest point 22, dmax: 0.43616167, imax: 5, n: 32
computing farthest point 23, dmax: 0.42951694, imax: 8, n: 32
computing farthest point 24, dmax: 0.34321323, imax: 10, n: 32
computing farthest point 25, dmax: 0.32414463, imax: 14, n: 32
computing farthest point 26, dmax: 0.32141608, imax: 4, n: 32
computing farthest point 27, dmax: 0.298576, imax: 32, n: 32
computing farthest point 28, dmax: 0.27376145, imax: 1, n: 32
computing farthest point 29, dmax: 0.19692646, imax: 27, n: 32
computing farthest point 30, dmax: 0.17524526, imax: 17, n: 32
computing farthest point 31, dmax: 0.1619852, imax: 11, n: 32
(n, m, k, length(A.centers)) = (989, 32, 31, 31)
  0.421803 seconds (255.19 k allocations: 13.202 MiB, 18.09% gc time, 97.57% compilation time)
  0.569473 seconds (340.17 k allocations: 17.717 MiB, 95.03% compilation time)
computing farthest point 1, dmax: Inf, imax: 3, n: 3
computing farthest point 2, dmax: 2.6090398, imax: 1, n: 3
computing farthest point 3, dmax: 0.84108454, imax: 2, n: 3
(n, m, k, length(A.centers)) = (14, 4, 3, 3)
computing farthest point 1, dmax: Inf, imax: 2, n: 3
computing farthest point 2, dmax: 2.6561844, imax: 3, n: 3
computing farthest point 3, dmax: 1.469927, imax: 1, n: 3
computing farthest point 4, dmax: 0.0, imax: 1, n: 3
(n, m, k, length(A.centers)) = (19, 5, 4, 4)
computing farthest point 1, dmax: Inf, imax: 4, n: 5
computing farthest point 2, dmax: 1.8287196, imax: 2, n: 5
computing farthest point 3, dmax: 1.7987152, imax: 5, n: 5
computing farthest point 4, dmax: 1.2137178, imax: 1, n: 5
computing farthest point 5, dmax: 0.8474032, imax: 3, n: 5
(n, m, k, length(A.centers)) = (29, 6, 5, 5)
computing farthest point 1, dmax: Inf, imax: 3, n: 6
computing farthest point 2, dmax: 1.749866, imax: 4, n: 6
computing farthest point 3, dmax: 1.301542, imax: 5, n: 6
computing farthest point 4, dmax: 0.628063, imax: 2, n: 6
computing farthest point 5, dmax: 0.551819, imax: 1, n: 6
computing farthest point 6, dmax: 0.36068475, imax: 6, n: 6
(n, m, k, length(A.centers)) = (39, 7, 6, 6)
computing farthest point 1, dmax: Inf, imax: 3, n: 8
computing farthest point 2, dmax: 3.9541786, imax: 4, n: 8
computing farthest point 3, dmax: 1.9737929, imax: 1, n: 8
computing farthest point 4, dmax: 1.2676277, imax: 6, n: 8
computing farthest point 5, dmax: 1.1450142, imax: 8, n: 8
computing farthest point 6, dmax: 1.039349, imax: 7, n: 8
computing farthest point 7, dmax: 0.54987043, imax: 5, n: 8
(n, m, k, length(A.centers)) = (59, 8, 7, 7)
append_items! sp=70, ep=74, n=74, BeamSearch
  bsize: Int32 2
  Δ: Float32 0.856f0
  maxvisits: Int64 68
, 2025-02-28T03:51:56.085
computing farthest point 1, dmax: Inf, imax: 6, n: 10
computing farthest point 2, dmax: 3.0610287, imax: 10, n: 10
computing farthest point 3, dmax: 2.0154438, imax: 5, n: 10
computing farthest point 4, dmax: 1.2649133, imax: 2, n: 10
computing farthest point 5, dmax: 1.1211323, imax: 1, n: 10
computing farthest point 6, dmax: 0.9541517, imax: 8, n: 10
computing farthest point 7, dmax: 0.9315038, imax: 3, n: 10
computing farthest point 8, dmax: 0.7324612, imax: 7, n: 10
computing farthest point 9, dmax: 0.54987043, imax: 4, n: 10
(n, m, k, length(A.centers)) = (89, 10, 9, 9)
append_items! sp=215, ep=219, n=219, BeamSearch
  bsize: Int32 243
  Δ: Float32 0.6f0
  maxvisits: Int64 100
, 2025-02-28T03:51:56.108
append_items! sp=285, ep=289, n=289, BeamSearch
  bsize: Int32 243
  Δ: Float32 0.6f0
  maxvisits: Int64 100
, 2025-02-28T03:51:56.109
computing farthest point 1, dmax: Inf, imax: 9, n: 18
computing farthest point 2, dmax: 3.865675, imax: 18, n: 18
computing farthest point 3, dmax: 1.9234519, imax: 3, n: 18
computing farthest point 4, dmax: 1.4621952, imax: 16, n: 18
computing farthest point 5, dmax: 1.2822701, imax: 4, n: 18
computing farthest point 6, dmax: 1.2588807, imax: 13, n: 18
computing farthest point 7, dmax: 1.2076074, imax: 11, n: 18
computing farthest point 8, dmax: 0.8143935, imax: 1, n: 18
computing farthest point 9, dmax: 0.75624686, imax: 10, n: 18
computing farthest point 10, dmax: 0.68730336, imax: 17, n: 18
computing farthest point 11, dmax: 0.6017633, imax: 2, n: 18
computing farthest point 12, dmax: 0.58301115, imax: 12, n: 18
computing farthest point 13, dmax: 0.46714196, imax: 8, n: 18
computing farthest point 14, dmax: 0.4390416, imax: 5, n: 18
computing farthest point 15, dmax: 0.4016701, imax: 15, n: 18
computing farthest point 16, dmax: 0.38010848, imax: 7, n: 18
computing farthest point 17, dmax: 0.3569081, imax: 6, n: 18
(n, m, k, length(A.centers)) = (294, 18, 17, 17)
append_items! sp=375, ep=379, n=379, BeamSearch
  bsize: Int32 365
  Δ: Float32 0.6f0
  maxvisits: Int64 124
, 2025-02-28T03:51:56.135
computing farthest point 1, dmax: Inf, imax: 20, n: 20
computing farthest point 2, dmax: 3.4660704, imax: 9, n: 20
computing farthest point 3, dmax: 1.8609098, imax: 1, n: 20
computing farthest point 4, dmax: 1.5941963, imax: 19, n: 20
computing farthest point 5, dmax: 1.3928337, imax: 2, n: 20
computing farthest point 6, dmax: 1.2729619, imax: 12, n: 20
computing farthest point 7, dmax: 1.0822666, imax: 18, n: 20
computing farthest point 8, dmax: 0.77708286, imax: 7, n: 20
computing farthest point 9, dmax: 0.7304047, imax: 10, n: 20
computing farthest point 10, dmax: 0.63274854, imax: 6, n: 20
computing farthest point 11, dmax: 0.5652465, imax: 3, n: 20
computing farthest point 12, dmax: 0.541711, imax: 5, n: 20
computing farthest point 13, dmax: 0.40182513, imax: 11, n: 20
computing farthest point 14, dmax: 0.28840646, imax: 16, n: 20
computing farthest point 15, dmax: 0.2846787, imax: 15, n: 20
computing farthest point 16, dmax: 0.23229915, imax: 4, n: 20
computing farthest point 17, dmax: 0.1680011, imax: 17, n: 20
computing farthest point 18, dmax: 0.15078527, imax: 13, n: 20
computing farthest point 19, dmax: 0.13411689, imax: 14, n: 20
computing farthest point 20, dmax: 0.11666737, imax: 8, n: 20
(n, m, k, length(A.centers)) = (439, 21, 20, 20)
computing farthest point 1, dmax: Inf, imax: 23, n: 26
computing farthest point 2, dmax: 2.7426584, imax: 14, n: 26
computing farthest point 3, dmax: 1.9228026, imax: 9, n: 26
computing farthest point 4, dmax: 1.6215506, imax: 24, n: 26
computing farthest point 5, dmax: 1.5976766, imax: 21, n: 26
computing farthest point 6, dmax: 1.1929551, imax: 22, n: 26
computing farthest point 7, dmax: 1.1446221, imax: 7, n: 26
computing farthest point 8, dmax: 1.079109, imax: 8, n: 26
computing farthest point 9, dmax: 0.9912602, imax: 15, n: 26
computing farthest point 10, dmax: 0.7426743, imax: 6, n: 26
computing farthest point 11, dmax: 0.6553076, imax: 2, n: 26
computing farthest point 12, dmax: 0.65043294, imax: 17, n: 26
computing farthest point 13, dmax: 0.6455673, imax: 20, n: 26
computing farthest point 14, dmax: 0.5766318, imax: 18, n: 26
computing farthest point 15, dmax: 0.4930091, imax: 11, n: 26
computing farthest point 16, dmax: 0.48957568, imax: 10, n: 26
computing farthest point 17, dmax: 0.4566543, imax: 5, n: 26
computing farthest point 18, dmax: 0.43457922, imax: 1, n: 26
computing farthest point 19, dmax: 0.42941442, imax: 12, n: 26
computing farthest point 20, dmax: 0.3938913, imax: 19, n: 26
computing farthest point 21, dmax: 0.34123906, imax: 25, n: 26
computing farthest point 22, dmax: 0.2606915, imax: 16, n: 26
computing farthest point 23, dmax: 0.23599975, imax: 26, n: 26
computing farthest point 24, dmax: 0.22705768, imax: 3, n: 26
computing farthest point 25, dmax: 0.18021096, imax: 13, n: 26
(n, m, k, length(A.centers)) = (659, 26, 25, 25)
computing farthest point 1, dmax: Inf, imax: 15, n: 31
computing farthest point 2, dmax: 3.8785481, imax: 2, n: 31
computing farthest point 3, dmax: 1.9202224, imax: 12, n: 31
computing farthest point 4, dmax: 1.7852913, imax: 13, n: 31
computing farthest point 5, dmax: 1.4145075, imax: 20, n: 31
computing farthest point 6, dmax: 1.3297709, imax: 11, n: 31
computing farthest point 7, dmax: 1.2365115, imax: 16, n: 31
computing farthest point 8, dmax: 1.1732479, imax: 3, n: 31
computing farthest point 9, dmax: 1.0328238, imax: 30, n: 31
computing farthest point 10, dmax: 1.0306875, imax: 18, n: 31
computing farthest point 11, dmax: 0.9347456, imax: 10, n: 31
computing farthest point 12, dmax: 0.69393474, imax: 7, n: 31
computing farthest point 13, dmax: 0.69239575, imax: 9, n: 31
computing farthest point 14, dmax: 0.62898254, imax: 29, n: 31
computing farthest point 15, dmax: 0.6154325, imax: 17, n: 31
computing farthest point 16, dmax: 0.5813894, imax: 25, n: 31
computing farthest point 17, dmax: 0.5661611, imax: 6, n: 31
computing farthest point 18, dmax: 0.5269413, imax: 8, n: 31
computing farthest point 19, dmax: 0.4637548, imax: 1, n: 31
computing farthest point 20, dmax: 0.45807832, imax: 21, n: 31
computing farthest point 21, dmax: 0.4171125, imax: 22, n: 31
computing farthest point 22, dmax: 0.3152167, imax: 5, n: 31
computing farthest point 23, dmax: 0.28203064, imax: 24, n: 31
computing farthest point 24, dmax: 0.28139478, imax: 14, n: 31
computing farthest point 25, dmax: 0.27228087, imax: 26, n: 31
computing farthest point 26, dmax: 0.25766978, imax: 4, n: 31
computing farthest point 27, dmax: 0.24566121, imax: 23, n: 31
computing farthest point 28, dmax: 0.23140597, imax: 28, n: 31
computing farthest point 29, dmax: 0.20179243, imax: 31, n: 31
computing farthest point 30, dmax: 0.18706383, imax: 19, n: 31
computing farthest point 31, dmax: 0.17739064, imax: 27, n: 31
(n, m, k, length(A.centers)) = (989, 32, 31, 31)
  0.356574 seconds (255.18 k allocations: 13.204 MiB, 97.92% compilation time)
Test Summary:                             | Pass  Total     Time
SimilaritySearch for ManifoldLearning api |    4      4  1m13.6s
Test Summary: | Pass  Total  Time
utils tests   |    3      3  6.4s
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in var"#optimize_embedding#3"(Real, Float32, Any, SimSearchManifoldLearning.var"#optimize_embedding", Any, AbstractArray{T, 2} where T, AbstractArray{T, 2} where T, Int64, Float32, Float32, Int64, Float32, Float32) at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/PdXsX/src/embeddings.jl
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in var"#compute_membership_strengths#15"(Any, SimSearchManifoldLearning.var"#compute_membership_strengths", AbstractArray{T, 2} where T, AbstractArray{T, 2} where T, Integer, Bool) at /home/pkgeval/.julia/packages/SimSearchManifoldLearning/PdXsX/src/umap_.jl
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in allknn(SimilaritySearch.AbstractSearchIndex, SimilaritySearch.AbstractContext, AbstractArray{Int32, 2}, AbstractArray{Float32, 2}) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/allknn.jl
  1.306392 seconds (380.02 k allocations: 20.229 MiB, 99.99% compilation time)
  0.000014 seconds (6 allocations: 208 bytes)
  0.001435 seconds (8 allocations: 12.000 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.950293233
- embedding init: 4.13e-6
- embedding opt: 0.067496689

  1.116236 seconds (352.01 k allocations: 18.870 MiB, 99.89% compilation time)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000874172
- embedding init: 3.36e-6
- embedding opt: 0.067161842

  0.001964 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000894821
- embedding init: 3.05e-6
- embedding opt: 0.071044204

  0.001395 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding SpectralLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000847792
- embedding init: 7.571902251
- embedding opt: 0.068507189

  0.001424 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding PrecomputedLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000899261
- embedding init: 5.9e-7
- embedding opt: 0.064547929

  0.001452 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding KnnGraphLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000924051
- embedding init: 4.021e-5
- embedding opt: 0.034203815

  0.001416 seconds (8 allocations: 12.000 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000882751
- embedding init: 2.29e-6
- embedding opt: 0.063993174

  0.001441 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000902831
- embedding init: 3.52e-6
- embedding opt: 0.065982315

  0.001366 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000879951
- embedding init: 4.66e-6
- embedding opt: 0.069846966

  0.001414 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000887571
- embedding init: 3.38e-6
- embedding opt: 0.068101223

(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])
(rows, cols, vals) = (Int32[1, 2, 2, 1, 3, 2], Int32[1, 1, 2, 2, 3, 3], Float32[0.0, 1.0, 0.0, 1.0, 0.0, 1.0])
[ Info: spectral_layout!
[ Info: initialize_embedding
[ Info: Matrix{Float32} => Matrix{Float32}
[ Info: ===== umap predict =====
  0.000139 seconds (6 allocations: 944 bytes)
*** computing graph
*** layout embedding SpectralLayout
┌ Info: Arpack.XYAUPD_Exception(1)
└ Error encountered in spectral_layout; defaulting to random layout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 6.644e-5
- embedding init: 0.080466298
- embedding opt: 8.2689e-5

WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in searchbatch(SimilaritySearch.AbstractSearchIndex, SimilaritySearch.AbstractContext, SimilaritySearch.AbstractDatabase, AbstractArray{Int32, 2}, AbstractArray{Float32, 2}) at /home/pkgeval/.julia/packages/SimilaritySearch/fkUaT/src/SimilaritySearch.jl
  0.000117 seconds (6 allocations: 944 bytes)
*** computing graph
*** layout embedding SpectralLayout
┌ Info: Arpack.XYAUPD_Exception(1)
└ Error encountered in spectral_layout; defaulting to random layout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 7.8079e-5
- embedding init: 0.005142268
- embedding opt: 7.6189e-5

  0.000109 seconds (6 allocations: 944 bytes)
*** computing graph
*** layout embedding SpectralLayout
┌ Info: Arpack.XYAUPD_Exception(1)
└ Error encountered in spectral_layout; defaulting to random layout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 6.2939e-5
- embedding init: 0.00387578
- embedding opt: 7.3579e-5

Test Summary: | Pass  Total     Time
umap tests    |   44     44  1m31.0s
     Testing SimSearchManifoldLearning tests passed 

Testing completed after 230.07s

PkgEval succeeded after 582.12s