Package evaluation of SingleCellProjections on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T19:40:34.917 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.09s ################################################################################ # Installation # Installing SingleCellProjections... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [03d38035] + SingleCellProjections v0.4.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.18.0 [a74b3585] + Blosc v0.7.3 [944b1d66] + CodecZlib v0.7.8 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.50 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.4 [4e289a0a] + EnumX v1.0.5 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 [f6369f11] + ForwardDiff v1.0.1 [c8ec2601] + H5Zblosc v0.1.2 [f67ccb44] + HDF5 v0.17.2 [34004b35] + HypergeometricFunctions v0.3.28 [842dd82b] + InlineStrings v1.4.3 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [49dc5b4e] + KernelDensitySJ v0.2.1 [b964fa9f] + LaTeXStrings v1.4.0 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.15 [e1d29d7a] + Missings v1.2.0 [d41bc354] + NLSolversBase v7.9.1 [77ba4419] + NaNMath v1.1.3 [b8a86587] + NearestNeighbors v0.4.21 [429524aa] + Optim v1.12.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.33 [d96e819e] + Parameters v0.12.3 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [92933f4c] + ProgressMeter v1.10.4 [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 [f2b01f46] + Roots v2.2.7 [f56ea72b] + SCTransform v0.3.1 [6c6a2e73] + Scratch v1.2.1 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [eddce310] + SingleCell10x v0.2.2 [03d38035] + SingleCellProjections v0.4.4 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.0 [c5dd0088] + StableHashTraits v2.0.0 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.4.0 [892a3eda] + StringManipulation v0.4.1 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [59d54670] + ThreadedSparseArrays v0.2.3 [3bb67fe8] + TranscodingStreams v0.11.3 [9d95972d] + TupleTools v1.6.0 [3a884ed6] + UnPack v1.0.2 [0b7ba130] + Blosc_jll v1.21.7+0 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.0+0 [5ced341a] + Lz4_jll v1.10.1+0 [7cb0a576] + MPICH_jll v4.3.0+1 [f1f71cc9] + MPItrampoline_jll v5.5.3+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.7+2 [458c3c95] + OpenSSL_jll v3.0.16+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [3161d3a3] + Zstd_jll v1.5.7+1 [477f73a3] + libaec_jll v1.1.3+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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+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 7.88s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 346.16s ################################################################################ # Testing # Testing SingleCellProjections Status `/tmp/jl_Lv8D3o/Project.toml` [1520ce14] AbstractTrees v0.4.5 [944b1d66] CodecZlib v0.7.8 [a93c6f00] DataFrames v1.7.0 [8bb1440f] DelimitedFiles v1.9.1 [31c24e10] Distributions v0.25.118 [38e38edf] GLM v1.9.0 [c8ec2601] H5Zblosc v0.1.2 [f67ccb44] HDF5 v0.17.2 [09f84164] HypothesisTests v0.11.5 [e1d29d7a] Missings v1.2.0 [b8a86587] NearestNeighbors v0.4.21 ⌅ [aea7be01] PrecompileTools v1.2.1 [6a3ba550] PrincipalMomentAnalysis v0.2.2 [f56ea72b] SCTransform v0.3.1 [eddce310] SingleCell10x v0.2.2 [03d38035] SingleCellProjections v0.4.4 [860ef19b] StableRNGs v1.0.2 [90137ffa] StaticArrays v1.9.13 [10745b16] Statistics v1.11.1 [24678dba] TSne v1.3.0 [59d54670] ThreadedSparseArrays v0.2.3 [c4f8c510] UMAP v0.1.11 [37e2e46d] LinearAlgebra v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Lv8D3o/Manifest.toml` [47edcb42] ADTypes v1.14.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [ec485272] ArnoldiMethod v0.4.0 [7d9fca2a] Arpack v0.5.4 [4fba245c] ArrayInterface v7.18.0 [a74b3585] Blosc v0.7.3 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.2 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.5.8 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.50 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [4e289a0a] EnumX v1.0.5 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 [f6369f11] ForwardDiff v1.0.1 [38e38edf] GLM v1.9.0 [86223c79] Graphs v1.12.1 [c8ec2601] H5Zblosc v0.1.2 [f67ccb44] HDF5 v0.17.2 [34004b35] HypergeometricFunctions v0.3.28 [09f84164] HypothesisTests v0.11.5 [d25df0c9] Inflate v0.1.5 [842dd82b] InlineStrings v1.4.3 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [49dc5b4e] KernelDensitySJ v0.2.1 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 [2fda8390] LsqFit v0.15.1 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.15 [e1d29d7a] Missings v1.2.0 [d41bc354] NLSolversBase v7.9.1 [77ba4419] NaNMath v1.1.3 [dd2c4c9e] NearestNeighborDescent v0.3.6 [b8a86587] NearestNeighbors v0.4.21 [429524aa] Optim v1.12.0 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [d96e819e] Parameters v0.12.3 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [6a3ba550] PrincipalMomentAnalysis v0.2.2 [92933f4c] ProgressMeter v1.10.4 [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 [f2b01f46] Roots v2.2.7 [f56ea72b] SCTransform v0.3.1 [6c6a2e73] Scratch v1.2.1 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [1277b4bf] ShiftedArrays v2.0.0 [699a6c99] SimpleTraits v0.9.4 [eddce310] SingleCell10x v0.2.2 [03d38035] SingleCellProjections v0.4.4 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [c5dd0088] StableHashTraits v2.0.0 [860ef19b] StableRNGs v1.0.2 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [3eaba693] StatsModels v0.7.4 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [24678dba] TSne v1.3.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [59d54670] ThreadedSparseArrays v0.2.3 [3bb67fe8] TranscodingStreams v0.11.3 [9d95972d] TupleTools v1.6.0 [c4f8c510] UMAP v0.1.11 [3a884ed6] UnPack v1.0.2 ⌅ [68821587] Arpack_jll v3.5.1+1 [0b7ba130] Blosc_jll v1.21.7+0 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.0+0 [5ced341a] Lz4_jll v1.10.1+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.7+2 [458c3c95] OpenSSL_jll v3.0.16+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [3161d3a3] Zstd_jll v1.5.7+1 [477f73a3] libaec_jll v1.1.3+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling DistributionsTestExt... 4983.8 ms ✓ Distributions → DistributionsTestExt 1 dependency successfully precompiled in 8 seconds. 48 already precompiled. Precompiling HypothesisTests... 6395.7 ms ✓ HypothesisTests 1 dependency successfully precompiled in 9 seconds. 60 already precompiled. Precompiling GLM... 7427.5 ms ✓ StatsModels 8826.8 ms ✓ GLM 2 dependencies successfully precompiled in 19 seconds. 53 already precompiled. Test Summary: | Pass Total Time MatrixExpressions.jl | 1233 1233 30.1s Estimating sc parameters: 4%|█ | ETA: 0:04:50 Estimating sc parameters: 100%|█████████████████████████| Time: 0:00:14 [ Info: Bandwidth 0.2601508521793458 Estimating sc parameters: 4%|█ | ETA: 0:00:51 Estimating sc parameters: 6%|█▌ | ETA: 0:00:41 Estimating sc parameters: 100%|█████████████████████████| Time: 0:00:02 [ Info: Bandwidth 0.2601508521793458 [ Info: - Removed 12 variables that were not found in Model ┌ Warning: ID "2" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "1" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "2" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "A" is not unique. Use duplicate_obs=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "1" is not unique. Use duplicate_obs=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel{Float32}(scale_factor=10000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel{Float32}(scale_factor=10000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel(scale_factor=1000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel(scale_factor=1000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel{Float32}(scale_factor=1000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto LogTransformModel{Float32}(scale_factor=1000.0) [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: - Removed 29 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel{Float32}(scale_factor=10000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel{Float32}(scale_factor=10000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=1000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=1000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel{Float32}(scale_factor=1000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel{Float32}(scale_factor=1000.0) [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: - Removed 21 variables that where not found in Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Bandwidth 0.2601508521793458 [ Info: - Removed 12 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Projecting onto SCTransformModel(nvar=32, clip=4.42) [ Info: - Removed 18 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Bandwidth 0.2601508521793458 [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto SCTransformModel{Float32}(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Bandwidth 0.2601508521793458 [ Info: - Removed 12 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Projecting onto SCTransformModel{Float32}(nvar=32, clip=4.42) [ Info: - Removed 18 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Bandwidth 0.3060409606742096 [ Info: - Removed 18 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(group)) [ Info: Projecting onto NormalizationModel(rank=3, scale=true, ~1+cat(group)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(value)) [ Info: Projecting onto NormalizationModel(rank=2, scale=true, ~1+num(value)) [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("group", false, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, scale=true, ~1+SingleCellProjections.TwoGroupCovariate{String}("group", false, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("group", false, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=3, ~1+cat(external_group (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+num(external_value (external))) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "C", nothing, 0.004830917874396135)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto NormalizationModel(rank=2, ~1+SingleCellProjections.TwoGroupCovariate{String}("external_group", true, "B", nothing, 0.005235602094240838)) [ Info: Projecting onto SVDModel(nsv=3) [ Info: Projecting onto PMAModel(nsv=3) [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto FilterModel(1:2:49, Colon()) [ Info: Projecting onto FilterModel(1:2:49, Colon()) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:49, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:49, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, ["group", "value"]=>#26) [ Info: Projecting onto FilterModel(:, #27) [ Info: Projecting onto FilterModel(1:2:49, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], Colon()) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], Colon()) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], external(InvalidIndex())) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], Colon()) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([2, 3, 6, 7, 8, 9, 11, 13, 14, 16 … 34, 38, 39, 41, 42, 43, 45, 46, 48, 49], Colon()) [ Info: Projecting onto FilterModel(1:2:37, Colon()) [ Info: Projecting onto FilterModel(1:2:37, Colon()) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:37, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:37, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, ["group", "value"]=>#26) [ Info: Projecting onto FilterModel(:, #27) [ Info: Projecting onto FilterModel(1:2:37, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], external(InvalidIndex())) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel(1:2:37, Colon()) [ Info: Projecting onto FilterModel(1:2:37, Colon()) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:37, external(InvalidIndex())) [ Info: Projecting onto FilterModel(1:2:37, external(InvalidIndex())) [ Info: Projecting onto FilterModel(:, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, ["group", "value"]=>#26) [ Info: Projecting onto FilterModel(:, #27) [ Info: Projecting onto FilterModel(1:2:37, "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], external(InvalidIndex())) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], "group"=>Fix2{typeof(==), String}(==, "A")) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group"]=>Fix2{typeof(==), String}(==, "A"))) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel(:, external(["external_group", "external_value"]=>#29)) [ Info: Projecting onto FilterModel([1, 2, 3, 4, 5, 6, 8, 9, 11, 12 … 26, 27, 28, 30, 31, 32, 34, 35, 37, 38], Colon()) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) ┌ Warning: `pairwise!(r::AbstractMatrix, dist::PreMetric, a::AbstractMatrix; dims::Union{Nothing, Integer} = nothing)` is deprecated, use `pairwise!(dist, r, a; dims = dims)` instead. │ caller = knn_search at utils.jl:63 [inlined] └ @ Core ~/.julia/packages/UMAP/KjtQ5/src/utils.jl:63 [ Info: Projecting onto UMAPModel(n_components=3) ┌ Warning: implicit `dims=2` argument now has to be passed explicitly to specify that distances between columns should be computed │ caller = ip:0x0 └ @ Core :-1 ┌ Warning: `Progress(n::Integer, desc::AbstractString, offset::Integer = 0; kwargs...)` is deprecated, use `Progress(n; desc = desc, offset = offset, kwargs...)` instead. │ caller = ip:0x0 └ @ Core :-1 Computing point perplexities 68%|███████████████▊ | ETA: 0:00:00 Computing point perplexities 100%|███████████████████████| Time: 0:00:00 Computing t-SNE 2%|▊ | ETA: 0:00:05 KL_divergence: 2.9619 (warmup)   Computing t-SNE 12%|████▍ | ETA: 0:00:04 KL_divergence: 3.0835 (warmup)   Computing t-SNE 16%|█████▋ | ETA: 0:00:04 KL_divergence: 3.1739 (warmup)   Computing t-SNE 18%|██████▋ | ETA: 0:00:04 KL_divergence: 3.1739 (warmup)   Computing t-SNE 21%|███████▌ | ETA: 0:00:03 KL_divergence: 3.1277 (warmup)   Computing t-SNE 24%|████████▋ | ETA: 0:00:03 KL_divergence: 3.1277 (warmup)   Computing t-SNE 27%|█████████▋ | ETA: 0:00:03 KL_divergence: 3.1195   Computing t-SNE 29%|██████████▋ | ETA: 0:00:03 KL_divergence: 3.1195   Computing t-SNE 32%|███████████▋ | ETA: 0:00:03 KL_divergence: 1.7968   Computing t-SNE 35%|████████████▋ | ETA: 0:00:03 KL_divergence: 1.7968   Computing t-SNE 38%|█████████████▌ | ETA: 0:00:03 KL_divergence: 1.0755   Computing t-SNE 40%|██████████████▌ | ETA: 0:00:02 KL_divergence: 0.9057   Computing t-SNE 43%|███████████████▌ | ETA: 0:00:02 KL_divergence: 0.9057   Computing t-SNE 46%|████████████████▌ | ETA: 0:00:02 KL_divergence: 0.8739   Computing t-SNE 49%|█████████████████▋ | ETA: 0:00:02 KL_divergence: 0.8739   Computing t-SNE 52%|██████████████████▋ | ETA: 0:00:02 KL_divergence: 0.8599   Computing t-SNE 55%|███████████████████▊ | ETA: 0:00:02 KL_divergence: 0.8599   Computing t-SNE 58%|████████████████████▊ | ETA: 0:00:02 KL_divergence: 0.8482   Computing t-SNE 60%|█████████████████████▊ | ETA: 0:00:02 KL_divergence: 0.8402   Computing t-SNE 63%|██████████████████████▊ | ETA: 0:00:01 KL_divergence: 0.8402   Computing t-SNE 66%|███████████████████████▊ | ETA: 0:00:01 KL_divergence: 0.8356   Computing t-SNE 69%|████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8356   Computing t-SNE 72%|█████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8289   Computing t-SNE 75%|██████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8289   Computing t-SNE 77%|███████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8260   Computing t-SNE 80%|████████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8236   Computing t-SNE 83%|█████████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8236   Computing t-SNE 86%|██████████████████████████████▉ | ETA: 0:00:01 KL_divergence: 0.8205   Computing t-SNE 88%|███████████████████████████████▉ | ETA: 0:00:00 KL_divergence: 0.8205   Computing t-SNE 91%|████████████████████████████████▉ | ETA: 0:00:00 KL_divergence: 0.8190   Computing t-SNE 94%|█████████████████████████████████▉ | ETA: 0:00:00 KL_divergence: 0.8190   Computing t-SNE 97%|██████████████████████████████████▉ | ETA: 0:00:00 KL_divergence: 0.8171   Computing t-SNE 99%|███████████████████████████████████▉| ETA: 0:00:00 KL_divergence: 0.8171   Computing t-SNE 100%|████████████████████████████████████| Time: 0:00:03 KL_divergence: 0.8138 [ Info: Projecting onto NearestNeighborModel(base="tsne", k=10) [ Info: Projecting onto VarCountsFractionModel(subset_size=0, total_size=50, col="C") [ Info: Projecting onto VarCountsFractionModel(subset_size=13, total_size=50, col="A") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="B") [ Info: Projecting onto VarCountsFractionModel(subset_size=0, total_size=50, col="C") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="C") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="A") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="B") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="C") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="C") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="A") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="B") [ Info: Projecting onto VarCountsFractionModel(subset_size=9, total_size=13, col="C") [ Info: Projecting onto VarCountsSumModel(size=0, col="C") [ Info: Projecting onto VarCountsSumModel(size=13, col="A") [ Info: Projecting onto VarCountsSumModel(f=!iszero, size=13, col="B") [ Info: Projecting onto VarCountsSumModel(size=0, col="C") [ Info: Projecting onto VarCountsSumModel(f=!iszero, size=13, col="B") [ Info: Projecting onto VarCountsSumModel(size=13, col="A") [ Info: Projecting onto VarCountsSumModel(f=!iszero, size=13, col="B") [ Info: Projecting onto VarCountsSumModel(f=!iszero, size=13, col="B") [ Info: Projecting onto VarCountsSumModel(size=13, col="A") [ Info: Projecting onto VarCountsSumModel(f=!iszero, size=13, col="B") [ Info: Projecting onto PseudoBulkModel(group) [ Info: Projecting onto PseudoBulkModel(group2) [ Info: Projecting onto PseudoBulkModel(group3) [ Info: Projecting onto PseudoBulkModel(twogroup) [ Info: Projecting onto PseudoBulkModel(group, group3) [ Info: Projecting onto PseudoBulkModel(group, group2) [ Info: Projecting onto PseudoBulkModel(group, twogroup) [ Info: Projecting onto PseudoBulkModel(group) [ Info: Projecting onto PseudoBulkModel(group2) [ Info: Projecting onto PseudoBulkModel(group3) [ Info: Projecting onto PseudoBulkModel(twogroup) [ Info: Projecting onto PseudoBulkModel(group, group3) [ Info: Projecting onto PseudoBulkModel(group, group2) [ Info: Projecting onto PseudoBulkModel(group, twogroup) ┌ Warning: ID "CD34" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "CD34" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "CD34" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 ┌ Warning: ID "CD34" is not unique. Use duplicate_var=x, where x is :error, :warn or :ignore to control behavior. └ @ SingleCellProjections ~/.julia/packages/SingleCellProjections/30C4U/src/datamatrix.jl:13 [ Info: - Removed 30 variables that where not found in Model [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 30 variables that where not found in Model [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 30 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 30 variables that where not found in Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: Bandwidth 0.40508495095688274 [ Info: - Removed 55 variables that were not found in Model [ Info: Bandwidth 0.40508495095688274 [ Info: - Removed 25 variables that were not found in Model [ Info: Projecting onto SCTransformModel(nvar=25, clip=2.58) [ Info: - Removed 55 variables that were not found in Model [ Info: Projecting onto SCTransformModel(nvar=25, clip=2.58) [ Info: - Removed 25 variables that were not found in Model [ Info: Projecting onto ObsAnnotationModel(GPR22) [ Info: Projecting onto ObsAnnotationModel(C3orf79, CEBPA, CST3, CFAP298, CDY1) [ Info: C3orf79, CEBPA, CST3 and CDY1 missing in DataMatrix. [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Removed 12 variables that where not found in Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Reordered variables to match Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reordered variables to match Model [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 12 variables that were not found in Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 13 missing variables [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 13 missing variables [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 21 variables that were not found in Model [ Info: - Skipped 9 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Removed 13 variables that where not found in Model [ Info: - Reconstructed 13 missing variables [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 4 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 21 variables that were not found in Model [ Info: - Skipped 9 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 13 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 13 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 21 variables that were not found in Model [ Info: - Skipped 9 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Removed 13 variables that where not found in Model [ Info: - Reconstructed 13 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Removed 13 variables that where not found in Model [ Info: - Skipped 4 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 21 variables that were not found in Model [ Info: - Skipped 9 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 9 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Skipped 10 missing variables [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Skipped 10 missing variables [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 9 variables that were not found in Model [ Info: - Skipped 7 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 10 missing variables [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Skipped 3 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 9 variables that were not found in Model [ Info: - Skipped 7 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Skipped 10 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Skipped 10 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 9 variables that were not found in Model [ Info: - Skipped 7 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 10 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Skipped 3 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 9 variables that were not found in Model [ Info: - Skipped 7 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 7 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 21 missing variables [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 21 missing variables [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 16 variables that were not found in Model [ Info: - Skipped 14 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Removed 11 variables that where not found in Model [ Info: - Reconstructed 21 missing variables [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 6 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 16 variables that were not found in Model [ Info: - Skipped 14 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) [ Info: Projecting onto LogTransformModel(scale_factor=10000.0) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 21 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto TFIDFTransformModel(scale_factor=10000.0) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 21 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 16 variables that were not found in Model [ Info: - Skipped 14 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=1, scale=true, ~1) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=4, scale=true, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto NormalizationModel(rank=1, ~num(value)) [ Info: Projecting onto NormalizationModel(rank=1, ~1) [ Info: - Removed 11 variables that where not found in Model [ Info: - Reconstructed 21 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto FilterModel(50:-3:2, Colon()) [ Info: - Removed 11 variables that where not found in Model [ Info: - Skipped 6 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto SCTransformModel(nvar=38, clip=4.42) [ Info: - Removed 16 variables that were not found in Model [ Info: - Skipped 14 missing variables [ Info: - Reordered variables to match Model [ Info: Projecting onto NormalizationModel(rank=4, ~1+cat(group)+num(value)) [ Info: - Reconstructed 14 missing variables [ Info: Projecting onto SVDModel(nsv=10) [ Info: Projecting onto NearestNeighborModel(base="force_layout", k=10) Test Summary: | Pass Total Time SingleCellProjections.jl | 2453 2453 11m04.9s Testing SingleCellProjections tests passed Testing completed after 946.7s PkgEval succeeded after 1322.9s