Package evaluation of InvertedFiles on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T11:56:53.160 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.27s ################################################################################ # Installation # Installing InvertedFiles... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [b20bd276] + InvertedFiles v0.7.1 Updating `~/.julia/environments/v1.10/Manifest.toml` [79e6a3ab] + Adapt v4.2.0 [4fba245c] + ArrayInterface v7.18.0 [62783981] + BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] + CPUSummary v0.2.6 [324d7699] + CategoricalArrays v0.10.8 [fb6a15b2] + CloseOpenIntervals v0.1.13 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.16.0 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.20 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.3 [5789e2e9] + FileIO v1.16.6 [3e5b6fbb] + HostCPUFeatures v0.1.17 [615f187c] + IfElse v0.1.1 [842dd82b] + InlineStrings v1.4.3 [6d0fbc77] + Intersections v0.4.0 [b20bd276] + InvertedFiles v0.7.1 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.4.54 [5d8de97f] + KCenters v0.9.0 [b964fa9f] + LaTeXStrings v1.4.0 [10f19ff3] + LayoutPointers v0.1.17 ⌅ [7f8f8fb0] + LearnBase v0.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [bdcacae8] + LoopVectorization v0.12.171 ⌃ [9920b226] + MLDataPattern v0.5.4 [cc2ba9b6] + MLDataUtils v0.5.4 [66a33bbf] + MLLabelUtils v0.5.7 [1914dd2f] + MacroTools v0.5.15 [d125e4d3] + ManualMemory v0.1.8 [dbb5928d] + MappedArrays v0.4.2 [e1d29d7a] + Missings v1.2.0 [6fe1bfb0] + OffsetArrays v1.15.0 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [f517fe37] + Polyester v0.7.16 [1d0040c9] + PolyesterWeave v0.2.2 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.0 [94e857df] + SIMDTypes v0.1.0 [476501e8] + SLEEFPirates v0.6.43 ⌅ [0e966ebe] + SearchModels v0.3.3 [91c51154] + SentinelArrays v1.4.8 [053f045d] + SimilaritySearch v0.11.10 [a2af1166] + SortingAlgorithms v1.2.1 [aedffcd0] + Static v1.1.1 [0d7ed370] + StaticArrayInterface v1.8.0 [82ae8749] + StatsAPI v1.7.0 ⌅ [2913bbd2] + StatsBase v0.33.21 [7792a7ef] + StrideArraysCore v0.5.7 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [8290d209] + ThreadingUtilities v0.5.2 [3bb67fe8] + TranscodingStreams v0.11.3 [3a884ed6] + UnPack v1.0.2 [3d5dd08c] + VectorizationBase v0.21.71 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [9fa8497b] + Future [b77e0a4c] + InteractiveUtils [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [3f19e933] + p7zip_jll v17.4.0+2 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 5.82s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 23.43s ################################################################################ # Testing # Testing InvertedFiles Status `/tmp/jl_97tlLh/Project.toml` [4c88cf16] Aqua v0.8.11 [6d0fbc77] Intersections v0.4.0 [b20bd276] InvertedFiles v0.7.1 ⌅ [c3a54625] JET v0.8.29 [5d8de97f] KCenters v0.9.0 [d96e819e] Parameters v0.12.3 [f517fe37] Polyester v0.7.16 ⌅ [0e966ebe] SearchModels v0.3.3 [053f045d] SimilaritySearch v0.11.10 ⌅ [2913bbd2] StatsBase v0.33.21 [ade2ca70] Dates [37e2e46d] LinearAlgebra [9a3f8284] Random [2f01184e] SparseArrays v1.10.0 [8dfed614] Test Status `/tmp/jl_97tlLh/Manifest.toml` [79e6a3ab] Adapt v4.2.0 [4c88cf16] Aqua v0.8.11 [4fba245c] ArrayInterface v7.18.0 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [2a0fbf3d] CPUSummary v0.2.6 [324d7699] CategoricalArrays v0.10.8 [fb6a15b2] CloseOpenIntervals v0.1.13 [da1fd8a2] CodeTracking v1.3.6 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.16.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.20 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [b4f34e82] Distances v0.10.12 [ffbed154] DocStringExtensions v0.9.3 [5789e2e9] FileIO v1.16.6 [3e5b6fbb] HostCPUFeatures v0.1.17 [615f187c] IfElse v0.1.1 [842dd82b] InlineStrings v1.4.3 [6d0fbc77] Intersections v0.4.0 [b20bd276] InvertedFiles v0.7.1 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [c3a54625] JET v0.8.29 ⌅ [033835bb] JLD2 v0.4.54 [aa1ae85d] JuliaInterpreter v0.9.41 [5d8de97f] KCenters v0.9.0 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 ⌅ [7f8f8fb0] LearnBase v0.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [bdcacae8] LoopVectorization v0.12.171 ⌅ [6f1432cf] LoweredCodeUtils v2.3.2 ⌃ [9920b226] MLDataPattern v0.5.4 [cc2ba9b6] MLDataUtils v0.5.4 [66a33bbf] MLLabelUtils v0.5.7 [1914dd2f] MacroTools v0.5.15 [d125e4d3] ManualMemory v0.1.8 [dbb5928d] MappedArrays v0.4.2 [e1d29d7a] Missings v1.2.0 [6fe1bfb0] OffsetArrays v1.15.0 [bac558e1] OrderedCollections v1.8.0 [d96e819e] Parameters v0.12.3 [f517fe37] Polyester v0.7.16 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.0 ⌃ [295af30f] Revise v3.5.15 [94e857df] SIMDTypes v0.1.0 [476501e8] SLEEFPirates v0.6.43 ⌅ [0e966ebe] SearchModels v0.3.3 [91c51154] SentinelArrays v1.4.8 [053f045d] SimilaritySearch v0.11.10 [a2af1166] SortingAlgorithms v1.2.1 [aedffcd0] Static v1.1.1 [0d7ed370] StaticArrayInterface v1.8.0 [82ae8749] StatsAPI v1.7.0 ⌅ [2913bbd2] StatsBase v0.33.21 [7792a7ef] StrideArraysCore v0.5.7 [892a3eda] StringManipulation v0.4.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [8290d209] ThreadingUtilities v0.5.2 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [3d5dd08c] VectorizationBase v0.21.71 [0dad84c5] ArgTools v1.1.1 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [8ba89e20] Distributed [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching [9fa8497b] Future [b77e0a4c] InteractiveUtils [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.10.0 [de0858da] Printf [3fa0cd96] REPL [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [6462fe0b] Sockets [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [3f19e933] p7zip_jll v17.4.0+2 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... Test Summary: | Pass Total Time Unbound type parameters | 1 1 0.5s Test Summary: | Pass Total Time Undefined exports | 1 1 0.0s Test Summary: | Pass Total Time Compare Project.toml and test/Project.toml | 1 1 0.0s Test Summary: | Pass Total Time Stale dependencies | 1 1 11.5s Test Summary: | Pass Total Time Compat bounds | 4 4 0.6s Test Summary: | Pass Total Time Piracy | 1 1 0.2s Test Summary: | Pass Total Time Persistent tasks | 1 1 19.9s [ Info: --- load and save!!! Test Summary: | Pass Total Time WeightedInvertedFile | 61 61 2m19.3s 0.062554 seconds (763 allocations: 45.102 KiB, 98.11% compilation time) 0.001121 seconds (16 allocations: 768 bytes) (dist, recall) = (JaccardDistance(), 1.0) (dist, err) = (JaccardDistance(), 0.0) [ Info: --- load and save!!! ┌ Warning: the database was not stored and was not passed to loadindex └ @ SimilaritySearch ~/.julia/packages/SimilaritySearch/fkUaT/src/io.jl:97 Test Summary: | Pass Total Time BinaryInvertedFile | 6 6 6.2s [ Info: ********************* Real search ********************* [ Info: ================== creating gold standard ==================== [ Info: creating the KnrIndex [ Info: === searching in the index odist=JaccardDistance(), ordering=DistanceOnTopKOrdering(300) === (dim, n, m, numcenters, k, centersrecall, ordering) = (4, 10000, 100, 100, 10, 0.95, DistanceOnTopKOrdering(300)) ┌ Info: before optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.86, qps = 1.351557125923773, gold_qps = 1.7477973209483015) [ Info: searchtime: gold: 0.57214872, index: 0.739887335, index-construction: 1.023083214 [ Info: --- load and save!!! [ Info: **** optimizing ParetoRadius() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.86, qps = 10.392502474584745, gold_qps = 1.7477973209483015) [ Info: searchtime: gold: 0.57214872, index: 0.096223215, optimization-time: 5.269356543 [ Info: **** optimizing ParetoRecall() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.86, qps = 10.067725184607848, gold_qps = 1.7477973209483015) [ Info: searchtime: gold: 0.57214872, index: 0.099327304, optimization-time: 3.423376318 [ Info: **** optimizing MinRecall(0.95) - {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.86, qps = 10.08079708459316, gold_qps = 1.7477973209483015) [ Info: searchtime: gold: 0.57214872, index: 0.099198505, optimization-time: 1.910887472 [ Info: ********************* generic searches ******************* 0.016573 seconds (77 allocations: 3.859 KiB, 94.72% compilation time) 0.001190 seconds (15 allocations: 656 bytes) [ Info: ================== creating gold standard ==================== [ Info: creating the KnrIndex append_items (sp = 3584, ep = 3840, n = 3840) 2025-02-25T12:01:59.909 [ Info: === searching in the index odist=CosineDistance(), ordering=DistanceOnTopKOrdering(300) === (dim, n, m, numcenters, k, centersrecall, ordering) = (4, 10000, 100, 100, 10, 0.95, DistanceOnTopKOrdering(300)) ┌ Info: before optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, WeightedInvertedFile{Nothing, AdjacencyList{IdWeight}}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.3420000000000001, qps = 1.4246222637217854, gold_qps = 55.8393310358799) [ Info: searchtime: gold: 0.017908524, index: 0.701940455, index-construction: 1.020830883 [ Info: --- load and save!!! [ Info: **** optimizing ParetoRadius() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, WeightedInvertedFile{Nothing, AdjacencyList{IdWeight}}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.3420000000000001, qps = 8.513910320411394, gold_qps = 55.8393310358799) [ Info: searchtime: gold: 0.017908524, index: 0.117454843, optimization-time: 1.991088153 [ Info: **** optimizing ParetoRecall() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, WeightedInvertedFile{Nothing, AdjacencyList{IdWeight}}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.3420000000000001, qps = 8.112921811594347, gold_qps = 55.8393310358799) [ Info: searchtime: gold: 0.017908524, index: 0.123260155, optimization-time: 1.964989261 [ Info: **** optimizing MinRecall(0.95) - {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, WeightedInvertedFile{Nothing, AdjacencyList{IdWeight}}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, WeightedInvertedFile{Nothing, AdjacencyList{IdWeight}}, DistanceOnTopKOrdering}, n=10000, ordering=DistanceOnTopKOrdering(300)} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 0.3420000000000001, qps = 8.23338260710933, gold_qps = 55.8393310358799) [ Info: searchtime: gold: 0.017908524, index: 0.121456763, optimization-time: 1.049829557 [ Info: ********************* generic searches ******************* 0.016182 seconds (79 allocations: 3.984 KiB, 93.09% compilation time) 0.001116 seconds (15 allocations: 656 bytes) [ Info: ================== creating gold standard ==================== [ Info: creating the KnrIndex [ Info: === searching in the index odist=nothing, ordering=nothing === (dim, n, m, numcenters, k, centersrecall, ordering) = (4, 10000, 100, 100, 10, 0.95, nothing) ┌ Info: before optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOrdering}, n=10000, ordering=DistanceOrdering()} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 1.0, qps = 0.974794007578222, gold_qps = 54.83204669935754) [ Info: searchtime: gold: 0.01823751, index: 1.025857763, index-construction: 0.394120168 [ Info: --- load and save!!! [ Info: **** optimizing ParetoRadius() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOrdering}, n=10000, ordering=DistanceOrdering()} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 1.0, qps = 12.524205532031758, gold_qps = 54.83204669935754) [ Info: searchtime: gold: 0.01823751, index: 0.079845384, optimization-time: 1.893450735 [ Info: **** optimizing ParetoRecall() **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOrdering}, n=10000, ordering=DistanceOrdering()} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 1.0, qps = 12.932294601085138, gold_qps = 54.83204669935754) [ Info: searchtime: gold: 0.01823751, index: 0.077325798, optimization-time: 1.629585965 [ Info: **** optimizing MinRecall(0.95) - {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOrdering}, n=10000, ordering=DistanceOrdering()} **** ┌ Info: AFTER optimization: {KnrIndex{Knr{ExhaustiveSearch{SqL2Distance, SubDatabase{VectorDatabase{Vector{Vector{Float32}}}, Vector{Int64}}}, UInt32}, MatrixDatabase{Matrix{Float32}}, BinaryInvertedFile{JaccardDistance, AdjacencyList{UInt32}, Nothing}, DistanceOrdering}, n=10000, ordering=DistanceOrdering()} └ (recall = recall, qps = 1 / tsearchtime, gold_qps = 1 / gsearchtime) = (recall = 1.0, qps = 12.49287874679236, gold_qps = 54.83204669935754) [ Info: searchtime: gold: 0.01823751, index: 0.080045602, optimization-time: 0.817159789 [ Info: ********************* generic searches ******************* 0.014114 seconds (36 allocations: 1.797 KiB, 92.26% compilation time) 0.000759 seconds (10 allocations: 464 bytes) Test Summary: | Pass Total Time KnrIndex | 27 27 1m08.5s Testing InvertedFiles tests passed Testing completed after 284.94s PkgEval succeeded after 330.44s