Package evaluation of SimSearchManifoldLearning on Julia 1.13.0-DEV.139 (5a3c7578c0*) started at 2025-03-06T01:36:36.762


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.5s


################################################################################
# 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 v1.9.13
  [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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  [ade2ca70] + Dates v1.11.0
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  [f43a241f] + Downloads v1.7.0
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  [9fa8497b] + Future v1.11.0
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  [37e2e46d] + LinearAlgebra v1.12.0
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  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
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  [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 2.44s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 65.06s


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# Testing
#

     Testing SimSearchManifoldLearning
      Status `/tmp/jl_bRuzfb/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_bRuzfb/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 v1.9.13
  [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
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  [1a1011a3] SharedArrays v1.11.0
  [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...
Precompiling packages...
   5438.5 ms  ✓ MultivariateStats
  16710.5 ms  ✓ ManifoldLearning
  2 dependencies successfully precompiled in 23 seconds. 61 already precompiled.
Precompiling packages...
Info Given SimilaritySearch was explicitly requested, output will be shown live 
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
WARNING: Constructor for type "Int16" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Int16" refers to `Base.Int16`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Int16 end`.
  Hint: To silence the warning, qualify `Int16` as `Base.Int16` in the method signature or explicitly `import Base: Int16`.
WARNING: Constructor for type "Int64" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Int64" refers to `Base.Int64`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Int64 end`.
  Hint: To silence the warning, qualify `Int64` as `Base.Int64` in the method signature or explicitly `import Base: Int64`.
WARNING: Constructor for type "Int32" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Int32" refers to `Base.Int32`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Int32 end`.
  Hint: To silence the warning, qualify `Int32` as `Base.Int32` in the method signature or explicitly `import Base: Int32`.
WARNING: Constructor for type "UInt8" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "UInt8" refers to `Base.UInt8`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function UInt8 end`.
  Hint: To silence the warning, qualify `UInt8` as `Base.UInt8` in the method signature or explicitly `import Base: UInt8`.
WARNING: Constructor for type "UInt16" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "UInt16" refers to `Base.UInt16`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function UInt16 end`.
  Hint: To silence the warning, qualify `UInt16` as `Base.UInt16` in the method signature or explicitly `import Base: UInt16`.
WARNING: Constructor for type "Float32" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Float32" refers to `Base.Float32`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Float32 end`.
  Hint: To silence the warning, qualify `Float32` as `Base.Float32` in the method signature or explicitly `import Base: Float32`.
WARNING: Constructor for type "UInt64" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "UInt64" refers to `Base.UInt64`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function UInt64 end`.
  Hint: To silence the warning, qualify `UInt64` as `Base.UInt64` in the method signature or explicitly `import Base: UInt64`.
WARNING: Constructor for type "Bool" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Bool" refers to `Base.Bool`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Bool end`.
  Hint: To silence the warning, qualify `Bool` as `Base.Bool` in the method signature or explicitly `import Base: Bool`.
WARNING: Constructor for type "Int8" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Int8" refers to `Base.Int8`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Int8 end`.
  Hint: To silence the warning, qualify `Int8` as `Base.Int8` in the method signature or explicitly `import Base: Int8`.
WARNING: Constructor for type "Float64" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Float64" refers to `Base.Float64`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Float64 end`.
  Hint: To silence the warning, qualify `Float64` as `Base.Float64` in the method signature or explicitly `import Base: Float64`.
WARNING: Constructor for type "UInt32" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "UInt32" refers to `Base.UInt32`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function UInt32 end`.
  Hint: To silence the warning, qualify `UInt32` as `Base.UInt32` in the method signature or explicitly `import Base: UInt32`.
WARNING: Constructor for type "Float16" was extended in `VectorizationBase` without explicit qualification or import.
  NOTE: Assumed "Float16" refers to `Base.Float16`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function Float16 end`.
  Hint: To silence the warning, qualify `Float16` as `Base.Float16` in the method signature or explicitly `import Base: Float16`.
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
WARNING: llvmcall with integer pointers is deprecated.
Use actual pointers instead, replacing i32 or i64 with i8* or ptr
in _vreduce(typeof(Base.:(+)), Any) at /home/pkgeval/.julia/packages/LoopVectorization/tIJUA/src/simdfunctionals/mapreduce.jl
  78834.1 ms  ✓ SimilaritySearch
  1 dependency successfully precompiled in 80 seconds. 83 already precompiled.
  1 dependency had output during precompilation:
┌ SimilaritySearch
│  [Output was shown above]
└  
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...
   5532.9 ms  ✓ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt
  1 dependency successfully precompiled in 6 seconds. 20 already precompiled.
Precompiling packages...
   1316.8 ms  ✓ FiniteDiff → FiniteDiffStaticArraysExt
   4195.4 ms  ✓ NLSolversBase
   5438.1 ms  ✓ LoopVectorization → SpecialFunctionsExt
   2301.0 ms  ✓ OptimBase
   6716.4 ms  ✓ LsqFit
Info Given SimSearchManifoldLearning was explicitly requested, output will be shown live 
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
  12545.2 ms  ✓ SimSearchManifoldLearning
  6 dependencies successfully precompiled in 34 seconds. 133 already precompiled.
  2 dependencies had output during precompilation:
┌ LoopVectorization → SpecialFunctionsExt
│  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
└  
┌ SimSearchManifoldLearning
│  [Output was shown above]
└  
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
  1.148999 seconds (703.10 k allocations: 36.823 MiB, 96.38% 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: 4, n: 4
computing farthest point 2, dmax: 3.524495, imax: 3, n: 4
computing farthest point 3, dmax: 1.2866082, imax: 1, n: 4
(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: 1, n: 4
computing farthest point 2, dmax: 2.0156398, imax: 2, n: 4
computing farthest point 3, dmax: 1.6804814, imax: 3, n: 4
computing farthest point 4, dmax: 0.4408929, imax: 4, n: 4
(n, m, k, length(A.centers)) = (19, 5, 4, 4)
computing farthest point 1, dmax: Inf, imax: 1, n: 6
computing farthest point 2, dmax: 2.7959552, imax: 2, n: 6
computing farthest point 3, dmax: 2.2319317, imax: 4, n: 6
computing farthest point 4, dmax: 1.8007505, imax: 6, n: 6
computing farthest point 5, dmax: 0.9692258, imax: 3, n: 6
(n, m, k, length(A.centers)) = (29, 6, 5, 5)
computing farthest point 1, dmax: Inf, imax: 4, n: 7
computing farthest point 2, dmax: 3.1876926, imax: 6, n: 7
computing farthest point 3, dmax: 1.8485322, imax: 3, n: 7
computing farthest point 4, dmax: 1.8305758, imax: 2, n: 7
computing farthest point 5, dmax: 1.2681919, imax: 5, n: 7
computing farthest point 6, dmax: 1.1628889, imax: 7, n: 7
(n, m, k, length(A.centers)) = (39, 7, 6, 6)
computing farthest point 1, dmax: Inf, imax: 1, n: 8
computing farthest point 2, dmax: 4.2237287, imax: 3, n: 8
computing farthest point 3, dmax: 2.000087, imax: 6, n: 8
computing farthest point 4, dmax: 1.7164029, imax: 7, n: 8
computing farthest point 5, dmax: 0.67196876, imax: 2, n: 8
computing farthest point 6, dmax: 0.62792915, imax: 4, n: 8
computing farthest point 7, dmax: 0.5342129, imax: 8, n: 8
(n, m, k, length(A.centers)) = (59, 8, 7, 7)
computing farthest point 1, dmax: Inf, imax: 3, n: 10
computing farthest point 2, dmax: 4.2574205, imax: 6, n: 10
computing farthest point 3, dmax: 2.5889013, imax: 1, n: 10
computing farthest point 4, dmax: 1.7380989, imax: 5, n: 10
computing farthest point 5, dmax: 1.5161046, imax: 2, n: 10
computing farthest point 6, dmax: 1.1054688, imax: 7, n: 10
computing farthest point 7, dmax: 1.0037189, imax: 10, n: 10
computing farthest point 8, dmax: 0.885317, imax: 8, n: 10
computing farthest point 9, dmax: 0.77294785, imax: 9, n: 10
(n, m, k, length(A.centers)) = (89, 10, 9, 9)
computing farthest point 1, dmax: Inf, imax: 17, n: 17
computing farthest point 2, dmax: 4.109797, imax: 14, n: 17
computing farthest point 3, dmax: 2.4503026, imax: 10, n: 17
computing farthest point 4, dmax: 1.6207025, imax: 13, n: 17
computing farthest point 5, dmax: 1.517324, imax: 8, n: 17
computing farthest point 6, dmax: 1.4858387, imax: 15, n: 17
computing farthest point 7, dmax: 1.4460831, imax: 2, n: 17
computing farthest point 8, dmax: 1.2819705, imax: 11, n: 17
computing farthest point 9, dmax: 1.1004752, imax: 12, n: 17
computing farthest point 10, dmax: 1.082392, imax: 6, n: 17
computing farthest point 11, dmax: 0.95579785, imax: 7, n: 17
computing farthest point 12, dmax: 0.8396256, imax: 5, n: 17
computing farthest point 13, dmax: 0.77798736, imax: 16, n: 17
computing farthest point 14, dmax: 0.74046, imax: 1, n: 17
computing farthest point 15, dmax: 0.6505937, imax: 4, n: 17
computing farthest point 16, dmax: 0.62969095, imax: 3, n: 17
computing farthest point 17, dmax: 0.50540257, imax: 9, n: 17
(n, m, k, length(A.centers)) = (294, 18, 17, 17)
computing farthest point 1, dmax: Inf, imax: 8, n: 21
computing farthest point 2, dmax: 3.6735065, imax: 21, n: 21
computing farthest point 3, dmax: 2.126059, imax: 2, n: 21
computing farthest point 4, dmax: 2.0055568, imax: 16, n: 21
computing farthest point 5, dmax: 1.7062397, imax: 18, n: 21
computing farthest point 6, dmax: 1.4030097, imax: 7, n: 21
computing farthest point 7, dmax: 1.3993276, imax: 6, n: 21
computing farthest point 8, dmax: 1.3817815, imax: 3, n: 21
computing farthest point 9, dmax: 1.1814934, imax: 17, n: 21
computing farthest point 10, dmax: 1.0963578, imax: 12, n: 21
computing farthest point 11, dmax: 1.0109553, imax: 14, n: 21
computing farthest point 12, dmax: 0.74634963, imax: 20, n: 21
computing farthest point 13, dmax: 0.7337416, imax: 13, n: 21
computing farthest point 14, dmax: 0.7187895, imax: 11, n: 21
computing farthest point 15, dmax: 0.69904697, imax: 10, n: 21
computing farthest point 16, dmax: 0.6119136, imax: 1, n: 21
computing farthest point 17, dmax: 0.60006034, imax: 19, n: 21
computing farthest point 18, dmax: 0.5140692, imax: 4, n: 21
computing farthest point 19, dmax: 0.49640188, imax: 5, n: 21
computing farthest point 20, dmax: 0.30948046, imax: 15, n: 21
(n, m, k, length(A.centers)) = (439, 21, 20, 20)
computing farthest point 1, dmax: Inf, imax: 18, n: 25
computing farthest point 2, dmax: 4.200769, imax: 11, n: 25
computing farthest point 3, dmax: 2.1364818, imax: 1, n: 25
computing farthest point 4, dmax: 1.7520443, imax: 23, n: 25
computing farthest point 5, dmax: 1.5499985, imax: 12, n: 25
computing farthest point 6, dmax: 1.4787962, imax: 10, n: 25
computing farthest point 7, dmax: 1.4625301, imax: 13, n: 25
computing farthest point 8, dmax: 1.1561983, imax: 16, n: 25
computing farthest point 9, dmax: 1.0568448, imax: 15, n: 25
computing farthest point 10, dmax: 1.0513554, imax: 17, n: 25
computing farthest point 11, dmax: 0.9472438, imax: 24, n: 25
computing farthest point 12, dmax: 0.77418244, imax: 8, n: 25
computing farthest point 13, dmax: 0.7656947, imax: 4, n: 25
computing farthest point 14, dmax: 0.66289026, imax: 20, n: 25
computing farthest point 15, dmax: 0.59626245, imax: 19, n: 25
computing farthest point 16, dmax: 0.5671807, imax: 3, n: 25
computing farthest point 17, dmax: 0.5156151, imax: 9, n: 25
computing farthest point 18, dmax: 0.50603455, imax: 22, n: 25
computing farthest point 19, dmax: 0.46975598, imax: 6, n: 25
computing farthest point 20, dmax: 0.44437337, imax: 5, n: 25
computing farthest point 21, dmax: 0.40221283, imax: 14, n: 25
computing farthest point 22, dmax: 0.32454887, imax: 7, n: 25
computing farthest point 23, dmax: 0.32230794, imax: 25, n: 25
computing farthest point 24, dmax: 0.31504312, imax: 21, n: 25
computing farthest point 25, dmax: 0.2847534, imax: 2, n: 25
(n, m, k, length(A.centers)) = (659, 26, 25, 25)
computing farthest point 1, dmax: Inf, imax: 25, n: 32
computing farthest point 2, dmax: 4.016199, imax: 22, n: 32
computing farthest point 3, dmax: 2.4955666, imax: 17, n: 32
computing farthest point 4, dmax: 1.9498029, imax: 8, n: 32
computing farthest point 5, dmax: 1.8640716, imax: 3, n: 32
computing farthest point 6, dmax: 1.5072564, imax: 10, n: 32
computing farthest point 7, dmax: 1.4349326, imax: 31, n: 32
computing farthest point 8, dmax: 1.417085, imax: 9, n: 32
computing farthest point 9, dmax: 1.4094765, imax: 30, n: 32
computing farthest point 10, dmax: 1.0655917, imax: 6, n: 32
computing farthest point 11, dmax: 1.0568888, imax: 26, n: 32
computing farthest point 12, dmax: 1.0325822, imax: 27, n: 32
computing farthest point 13, dmax: 0.87464577, imax: 21, n: 32
computing farthest point 14, dmax: 0.8595918, imax: 15, n: 32
computing farthest point 15, dmax: 0.8115854, imax: 13, n: 32
computing farthest point 16, dmax: 0.79837316, imax: 2, n: 32
computing farthest point 17, dmax: 0.74990606, imax: 5, n: 32
computing farthest point 18, dmax: 0.7465596, imax: 18, n: 32
computing farthest point 19, dmax: 0.6783212, imax: 11, n: 32
computing farthest point 20, dmax: 0.6394932, imax: 23, n: 32
computing farthest point 21, dmax: 0.5856526, imax: 7, n: 32
computing farthest point 22, dmax: 0.52284884, imax: 20, n: 32
computing farthest point 23, dmax: 0.47680423, imax: 32, n: 32
computing farthest point 24, dmax: 0.4487682, imax: 16, n: 32
computing farthest point 25, dmax: 0.44095144, imax: 12, n: 32
computing farthest point 26, dmax: 0.4256084, imax: 14, n: 32
computing farthest point 27, dmax: 0.37122205, imax: 29, n: 32
computing farthest point 28, dmax: 0.34286276, imax: 19, n: 32
computing farthest point 29, dmax: 0.31639475, imax: 28, n: 32
computing farthest point 30, dmax: 0.2580128, imax: 4, n: 32
computing farthest point 31, dmax: 0.2346103, imax: 1, n: 32
(n, m, k, length(A.centers)) = (989, 32, 31, 31)
  0.331514 seconds (255.63 k allocations: 13.215 MiB, 97.10% compilation time)
  0.590569 seconds (340.67 k allocations: 17.733 MiB, 95.13% compilation time)
computing farthest point 1, dmax: Inf, imax: 1, n: 3
computing farthest point 2, dmax: 1.8137819, imax: 2, n: 3
computing farthest point 3, dmax: 1.1910237, imax: 3, n: 3
(n, m, k, length(A.centers)) = (14, 4, 3, 3)
computing farthest point 1, dmax: Inf, imax: 4, n: 5
computing farthest point 2, dmax: 2.044962, imax: 2, n: 5
computing farthest point 3, dmax: 1.7070196, imax: 3, n: 5
computing farthest point 4, dmax: 0.8020013, imax: 5, n: 5
(n, m, k, length(A.centers)) = (19, 5, 4, 4)
computing farthest point 1, dmax: Inf, imax: 2, n: 5
computing farthest point 2, dmax: 2.7289002, imax: 3, n: 5
computing farthest point 3, dmax: 1.6006584, imax: 1, n: 5
computing farthest point 4, dmax: 1.0867622, imax: 5, n: 5
computing farthest point 5, dmax: 0.72369564, imax: 4, 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: 1.8717258, imax: 1, n: 6
computing farthest point 3, dmax: 1.6372652, imax: 6, n: 6
computing farthest point 4, dmax: 1.620317, imax: 5, n: 6
computing farthest point 5, dmax: 0.6491821, imax: 2, n: 6
computing farthest point 6, dmax: 0.400666, imax: 4, n: 6
(n, m, k, length(A.centers)) = (39, 7, 6, 6)
computing farthest point 1, dmax: Inf, imax: 1, n: 7
computing farthest point 2, dmax: 2.4729643, imax: 5, n: 7
computing farthest point 3, dmax: 1.7644491, imax: 2, n: 7
computing farthest point 4, dmax: 1.3464128, imax: 4, n: 7
computing farthest point 5, dmax: 1.1177708, imax: 6, n: 7
computing farthest point 6, dmax: 1.0516855, imax: 3, n: 7
computing farthest point 7, dmax: 0.624683, imax: 7, n: 7
(n, m, k, length(A.centers)) = (59, 8, 7, 7)
computing farthest point 1, dmax: Inf, imax: 6, n: 10
computing farthest point 2, dmax: 3.5041556, imax: 10, n: 10
computing farthest point 3, dmax: 1.7144778, imax: 7, n: 10
computing farthest point 4, dmax: 1.3745607, imax: 4, n: 10
computing farthest point 5, dmax: 1.1935444, imax: 3, n: 10
computing farthest point 6, dmax: 0.81838137, imax: 1, n: 10
computing farthest point 7, dmax: 0.6338561, imax: 2, n: 10
computing farthest point 8, dmax: 0.5627783, imax: 9, n: 10
computing farthest point 9, dmax: 0.3857833, imax: 8, n: 10
(n, m, k, length(A.centers)) = (89, 10, 9, 9)
computing farthest point 1, dmax: Inf, imax: 14, n: 17
computing farthest point 2, dmax: 2.1488173, imax: 11, n: 17
computing farthest point 3, dmax: 1.7696506, imax: 16, n: 17
computing farthest point 4, dmax: 1.6976211, imax: 8, n: 17
computing farthest point 5, dmax: 0.98763114, imax: 17, n: 17
computing farthest point 6, dmax: 0.9541933, imax: 12, n: 17
computing farthest point 7, dmax: 0.9497502, imax: 9, n: 17
computing farthest point 8, dmax: 0.9016632, imax: 7, n: 17
computing farthest point 9, dmax: 0.84658295, imax: 3, n: 17
computing farthest point 10, dmax: 0.61604065, imax: 1, n: 17
computing farthest point 11, dmax: 0.59695333, imax: 13, n: 17
computing farthest point 12, dmax: 0.50405204, imax: 2, n: 17
computing farthest point 13, dmax: 0.5025064, imax: 5, n: 17
computing farthest point 14, dmax: 0.37388766, imax: 4, n: 17
computing farthest point 15, dmax: 0.33636925, imax: 6, n: 17
computing farthest point 16, dmax: 0.2470731, imax: 15, n: 17
computing farthest point 17, dmax: 0.2365646, imax: 10, n: 17
(n, m, k, length(A.centers)) = (294, 18, 17, 17)
computing farthest point 1, dmax: Inf, imax: 17, n: 20
computing farthest point 2, dmax: 3.4077923, imax: 11, n: 20
computing farthest point 3, dmax: 1.9865272, imax: 18, n: 20
computing farthest point 4, dmax: 1.3085363, imax: 16, n: 20
computing farthest point 5, dmax: 1.2026992, imax: 14, n: 20
computing farthest point 6, dmax: 1.0904412, imax: 12, n: 20
computing farthest point 7, dmax: 1.0073953, imax: 7, n: 20
computing farthest point 8, dmax: 0.9542455, imax: 4, n: 20
computing farthest point 9, dmax: 0.9477305, imax: 10, n: 20
computing farthest point 10, dmax: 0.88696027, imax: 3, n: 20
computing farthest point 11, dmax: 0.86655974, imax: 1, n: 20
computing farthest point 12, dmax: 0.8577366, imax: 6, n: 20
computing farthest point 13, dmax: 0.7462463, imax: 2, n: 20
computing farthest point 14, dmax: 0.44202662, imax: 15, n: 20
computing farthest point 15, dmax: 0.4356951, imax: 5, n: 20
computing farthest point 16, dmax: 0.43120116, imax: 8, n: 20
computing farthest point 17, dmax: 0.4185975, imax: 9, n: 20
computing farthest point 18, dmax: 0.37769955, imax: 20, n: 20
computing farthest point 19, dmax: 0.3745663, imax: 19, n: 20
computing farthest point 20, dmax: 0.16176185, imax: 13, n: 20
(n, m, k, length(A.centers)) = (439, 21, 20, 20)
computing farthest point 1, dmax: Inf, imax: 4, n: 24
computing farthest point 2, dmax: 3.676923, imax: 23, n: 24
computing farthest point 3, dmax: 1.8234526, imax: 10, n: 24
computing farthest point 4, dmax: 1.6995101, imax: 11, n: 24
computing farthest point 5, dmax: 1.688274, imax: 20, n: 24
computing farthest point 6, dmax: 1.6209112, imax: 15, n: 24
computing farthest point 7, dmax: 1.3225145, imax: 14, n: 24
computing farthest point 8, dmax: 1.0364932, imax: 2, n: 24
computing farthest point 9, dmax: 1.026484, imax: 18, n: 24
computing farthest point 10, dmax: 0.7591009, imax: 5, n: 24
computing farthest point 11, dmax: 0.7524733, imax: 19, n: 24
computing farthest point 12, dmax: 0.72922677, imax: 21, n: 24
computing farthest point 13, dmax: 0.69752616, imax: 12, n: 24
computing farthest point 14, dmax: 0.63655174, imax: 24, n: 24
computing farthest point 15, dmax: 0.63170785, imax: 22, n: 24
computing farthest point 16, dmax: 0.4563492, imax: 3, n: 24
computing farthest point 17, dmax: 0.45229593, imax: 17, n: 24
computing farthest point 18, dmax: 0.32058024, imax: 13, n: 24
computing farthest point 19, dmax: 0.31806904, imax: 6, n: 24
computing farthest point 20, dmax: 0.3113097, imax: 8, n: 24
computing farthest point 21, dmax: 0.2792806, imax: 7, n: 24
computing farthest point 22, dmax: 0.2721542, imax: 9, n: 24
computing farthest point 23, dmax: 0.27046934, imax: 16, n: 24
computing farthest point 24, dmax: 0.019571165, imax: 1, n: 24
computing farthest point 25, dmax: 0.0, imax: 1, n: 24
(n, m, k, length(A.centers)) = (659, 26, 25, 25)
computing farthest point 1, dmax: Inf, imax: 31, n: 32
computing farthest point 2, dmax: 3.977742, imax: 27, n: 32
computing farthest point 3, dmax: 1.9781544, imax: 6, n: 32
computing farthest point 4, dmax: 1.5618445, imax: 16, n: 32
computing farthest point 5, dmax: 1.4244372, imax: 1, n: 32
computing farthest point 6, dmax: 1.1495612, imax: 28, n: 32
computing farthest point 7, dmax: 1.0132897, imax: 24, n: 32
computing farthest point 8, dmax: 0.9883665, imax: 8, n: 32
computing farthest point 9, dmax: 0.88789636, imax: 7, n: 32
computing farthest point 10, dmax: 0.8118027, imax: 25, n: 32
computing farthest point 11, dmax: 0.80743176, imax: 14, n: 32
computing farthest point 12, dmax: 0.8058043, imax: 29, n: 32
computing farthest point 13, dmax: 0.78490186, imax: 15, n: 32
computing farthest point 14, dmax: 0.675609, imax: 19, n: 32
computing farthest point 15, dmax: 0.6565187, imax: 30, n: 32
computing farthest point 16, dmax: 0.64270467, imax: 20, n: 32
computing farthest point 17, dmax: 0.6064041, imax: 23, n: 32
computing farthest point 18, dmax: 0.54695725, imax: 13, n: 32
computing farthest point 19, dmax: 0.5216259, imax: 5, n: 32
computing farthest point 20, dmax: 0.49623767, imax: 17, n: 32
computing farthest point 21, dmax: 0.4726769, imax: 21, n: 32
computing farthest point 22, dmax: 0.4329295, imax: 2, n: 32
computing farthest point 23, dmax: 0.38733038, imax: 32, n: 32
computing farthest point 24, dmax: 0.37089482, imax: 11, n: 32
computing farthest point 25, dmax: 0.35308093, imax: 4, n: 32
computing farthest point 26, dmax: 0.3033431, imax: 26, n: 32
computing farthest point 27, dmax: 0.28432012, imax: 9, n: 32
computing farthest point 28, dmax: 0.27378005, imax: 3, n: 32
computing farthest point 29, dmax: 0.23571993, imax: 12, n: 32
computing farthest point 30, dmax: 0.23274681, imax: 18, n: 32
computing farthest point 31, dmax: 0.07627668, imax: 22, n: 32
(n, m, k, length(A.centers)) = (989, 32, 31, 31)
  0.368194 seconds (255.62 k allocations: 13.218 MiB, 9.01% gc time, 98.00% compilation time)
Test Summary:                             | Pass  Total   Time
SimilaritySearch for ManifoldLearning api |    4      4  54.2s
Test Summary: | Pass  Total  Time
utils tests   |    3      3  6.1s
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
  1.302962 seconds (380.58 k allocations: 20.257 MiB, 100.00% compilation time)
  0.000012 seconds (6 allocations: 208 bytes)
  0.001414 seconds (8 allocations: 12.000 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 1.084821161
- embedding init: 5.54e-6
- embedding opt: 0.067438079

  1.332953 seconds (352.42 k allocations: 18.883 MiB, 99.92% compilation time)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000832582
- embedding init: 4.3e-6
- embedding opt: 0.06630566

  0.001328 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000837682
- embedding init: 4.96e-6
- embedding opt: 0.066261571

  0.001361 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding SpectralLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000818832
- embedding init: 7.061782717
- embedding opt: 0.068181012

  0.001412 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding PrecomputedLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000875091
- embedding init: 3.2e-7
- embedding opt: 0.070006994

  0.001314 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding KnnGraphLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000846522
- embedding init: 3.967e-5
- embedding opt: 0.062039482

  0.001277 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000821172
- embedding init: 3.68e-6
- embedding opt: 0.064103672

  0.001739 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000953931
- embedding init: 3.88e-6
- embedding opt: 0.069049093

  0.001338 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000837952
- embedding init: 5.31e-6
- embedding opt: 0.069867986

  0.001384 seconds (8 allocations: 11.969 KiB)
*** computing graph
*** layout embedding RandomLayout
*** fit ab / embedding
*** opt embedding
UMAP construction time cost report:
- fuzzy graph: 0.000891461
- embedding init: 4.07e-6
- embedding opt: 0.068911004

(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 =====
  0.000128 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: 0.000116569
- embedding init: 0.088274235
- embedding opt: 9.0159e-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
  0.000122 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: 0.003863942
- embedding opt: 8.0959e-5

  0.000116 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: 6.253e-5
- embedding init: 0.00415446
- embedding opt: 9.2419e-5

Test Summary: | Pass  Total     Time
umap tests    |   44     44  1m35.8s
     Testing SimSearchManifoldLearning tests passed 

Testing completed after 323.8s

PkgEval succeeded after 430.45s