Package evaluation of Galley on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T08:54:48.225 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.21s ################################################################################ # Installation # Installing Galley... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [0b99cc74] + Galley v0.1.0 Updating `~/.julia/environments/v1.10/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [66dad0bd] + AliasTables v1.1.3 [15f4f7f2] + AutoHashEquals v2.2.0 [34da2185] + Compat v4.16.0 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.20 [31c24e10] + Distributions v0.25.117 [ffbed154] + DocStringExtensions v0.9.3 [1a297f60] + FillArrays v1.13.0 ⌅ [9177782c] + Finch v0.6.33 [0b99cc74] + Galley v0.1.0 [34004b35] + HypergeometricFunctions v0.3.27 [92d709cd] + IrrationalConstants v0.2.4 [c8e1da08] + IterTools v1.10.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [2ab3a3ac] + LogExpFunctions v0.3.29 [e1d29d7a] + Missings v1.2.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.32 [69de0a69] + Parsers v2.8.1 [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 v1.3.0 [5969e224] + RewriteTools v0.2.4 [79098fc4] + Rmath v0.8.0 [a2af1166] + SortingAlgorithms v1.2.1 [276daf66] + SpecialFunctions v2.5.0 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.3.2 [b33eeca9] + SyntaxInterface v0.2.1 [8ea1fca8] + TermInterface v2.0.0 ⌅ [013be700] + UnsafeAtomics v0.2.1 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [b77e0a4c] + InteractiveUtils [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [de0858da] + Printf [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.1+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 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 7.12s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 785.18s ################################################################################ # Testing # Testing Galley Status `/tmp/jl_SeR1Q2/Project.toml` ⌅ [9177782c] Finch v0.6.33 [0b99cc74] Galley v0.1.0 [37e2e46d] LinearAlgebra [2f01184e] SparseArrays v1.10.0 [8dfed614] Test Status `/tmp/jl_SeR1Q2/Manifest.toml` [1520ce14] AbstractTrees v0.4.5 [66dad0bd] AliasTables v1.1.3 [15f4f7f2] AutoHashEquals v2.2.0 [34da2185] Compat v4.16.0 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.20 [31c24e10] Distributions v0.25.117 [ffbed154] DocStringExtensions v0.9.3 [1a297f60] FillArrays v1.13.0 ⌅ [9177782c] Finch v0.6.33 [0b99cc74] Galley v0.1.0 [34004b35] HypergeometricFunctions v0.3.27 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [2ab3a3ac] LogExpFunctions v0.3.29 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.32 [69de0a69] Parsers v2.8.1 [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 v1.3.0 [5969e224] RewriteTools v0.2.4 [79098fc4] Rmath v0.8.0 [a2af1166] SortingAlgorithms v1.2.1 [276daf66] SpecialFunctions v2.5.0 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.3.2 [b33eeca9] SyntaxInterface v0.2.1 [8ea1fca8] TermInterface v2.0.0 ⌅ [013be700] UnsafeAtomics v0.2.1 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [56f22d72] Artifacts [2a0f44e3] Base64 [ade2ca70] Dates [b77e0a4c] InteractiveUtils [76f85450] LibGit2 [8f399da3] Libdl [37e2e46d] LinearAlgebra [56ddb016] Logging [d6f4376e] Markdown [a63ad114] Mmap [ca575930] NetworkOptions v1.2.0 [de0858da] Printf [9a3f8284] Random [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization [2f01184e] SparseArrays v1.10.0 [10745b16] Statistics v1.10.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [8dfed614] Test [cf7118a7] UUIDs [4ec0a83e] Unicode [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.1+4 [bea87d4a] SuiteSparse_jll v7.2.1+1 [8e850b90] libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Test Summary: | Pass Total Time Plan Equality | 9 9 2m12.8s Test Summary: | Pass Total Time Plan Hash | 9 9 0.3s ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 Test Summary: | Pass Total Time Annotated Queries | 5 5 23.9s get_reduce_query | 5 5 23.9s ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0, Int64, Int64, Vector{Int64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 Test Summary: | Pass Total Time matrix operations | 14 14 2m52.9s 2x2 matrices, element-wise mult | 1 1 1m24.7s 2x2 matrices, element-wise add | 1 1 9.0s 2x2 matrices, element-wise custom | 1 1 5.4s 2x2 matrices, element-wise mult, reverse input | 1 1 6.7s 100x100 matrices, element-wise mult, reverse output | 1 1 15.0s 100x100 matrices, matrix mult | 1 1 13.7s 100x100 matrices, matrix mult, custom add | 1 1 4.6s 100x100 matrices, full sum | 1 1 3.4s 100x100 matrices, multi-line, matrix mult | 1 1 3.7s 100x100 matrices, multi-line, matrix mult, reuse | 1 1 10.6s 100x100 matrices, diagonal mult | 1 1 7.2s 100x100 matrices, diagonal mult, then sum | 1 1 2.1s 100x100 matrices, elementwise +, then sum | 1 1 2.1s 100x100 matrices, + on j, then sum all | 1 1 4.9s Test Summary: |Time NaiveStats | None 0.0s Test Summary: | Pass Total Time DCStats | 13 13 0.3s Single Tensor Card | 1 1 0.2s 1 Join DC Card | 1 1 0.0s 2 Join DC Card | 1 1 0.0s Triangle DC Card | 1 1 0.0s Triangle-Small DC Card | 1 1 0.0s Full Reduce DC Card | 1 1 0.0s 1-Attr Reduce DC Card | 1 1 0.0s 2-Attr Reduce DC Card | 1 1 0.0s 1D Disjunction DC Card | 1 1 0.0s 2D Disjunction DC Card | 1 1 0.0s 2D Disjoint Disjunction DC Card | 1 1 0.0s 3D Disjoint Disjunction DC Card | 1 1 0.0s Mixture Disjunction Conjunction DC Card | 1 1 0.0s [ Info: Testing Finch Interface ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0, Int16, Int64, Vector{Int16}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0, Int8, Int64, Vector{Int8}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0.0f0, Float32, Int64, Vector{Float32}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 WARNING: Method definition ##compute#650(Any) in module Finch overwritten. ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0, Int8, Int64, Vector{Int8}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0.0 + 0.0im, ComplexF64, Int64, Vector{ComplexF64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0 + 0im, Complex{Int64}, Int64, Vector{Complex{Int64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0x00, UInt8, Int64, Vector{UInt8}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 [ Info: Testing Finch.LogicExecutor(GalleyOptimizer(DCStats, false), false) ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0, Int64, Int64, Vector{Int64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in fld └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:125 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: Division by zero in rem └ @ Finch ~/.julia/packages/Finch/nbjim/src/util/special_functions.jl:104 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int32, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{SparseCOOLevel{2, Tuple{Int64, Int64}, Vector{Int64}, Tuple{Vector{Int64}, Vector{Int64}}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: Performance Warning: non-concordant traversal of B[i_3, i_5, i_4] (hint: most arrays prefer column major or first index fast, run in fast mode to ignore this warning) └ @ Finch ?:0 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0, Int64, Int64, Vector{Int64}}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 Executing: :(function var"##compute#1195"(prgm) begin V = ((((((((((((prgm.children[1]).children[2]).children[1]).children[1]).children[2]).children[1]).children[2]).children[1]).children[1]).children[1]).children[1]).children[2]).tns.val::Matrix{Int64} V_2 = ((((((((((((prgm.children[1]).children[2]).children[1]).children[1]).children[2]).children[1]).children[3]).children[1]).children[1]).children[1]).children[1]).children[2]).tns.val::Matrix{Int64} _A_1 = Tensor(Dense{Int32}(Dense{Int32}(Element{0, Int64, Int64}(Int64[]), 2), 2)) () @finch mode = :fast begin _A_1 .= 0 for _i_2 = _ for _i_3 = _ _A_1[_i_3, _i_2] << Finch.FinchNotation.InitWriter{0}() >>= (Base.Broadcast.BroadcastFunction(+))(V[_i_3, _i_2], V_2[_i_3, _i_2]) end end end return Tuple([_A_1]) end end) ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0, Int64, Int64, Vector{Int64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{-Inf, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, ElementLevel{0, Int64, Int64, Vector{Int64}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, SparseListLevel{Int64, Vector{Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 WARNING: Method definition ##compute#1712(Any) in module Finch overwritten. ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{DenseLevel{Int64, DenseLevel{Int64, DenseLevel{Int64, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 WARNING: Method definition ##compute#1957(Any) in module Finch overwritten. ┌ Warning: `default` is deprecated, use `fill_value` instead. │ caller = TensorDef(tensor::Tensor{SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, SparseDictLevel{Int64, Vector{Int64}, Vector{Int64}, Vector{Int64}, Dict{Tuple{Int64, Int64}, Int64}, Vector{Int64}, ElementLevel{0.0, Float64, Int64, Vector{Float64}}}}}, indices::Vector{Symbol}) at tensor-stats_v2.jl:53 └ @ Galley ~/.julia/packages/Galley/tiLqZ/src/TensorStats/tensor-stats_v2.jl:53 Test Summary: | Pass Total Time interface | 63 63 6m46.0s Testing Galley tests passed Testing completed after 760.85s PkgEval succeeded after 1568.54s