Package evaluation of CommunityDetection on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T07:24:12.219


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 4.7s


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# Installation
#

Installing CommunityDetection...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [d427f087] + CommunityDetection v0.2.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
⌅ [ec485272] + ArnoldiMethod v0.2.0
⌅ [aaaa29a8] + Clustering v0.14.4
  [d427f087] + CommunityDetection v0.2.0
  [34da2185] + Compat v4.16.0
  [9a962f9c] + DataAPI v1.16.0
  [864edb3b] + DataStructures v0.18.20
  [b4f34e82] + Distances v0.10.12
  [ffbed154] + DocStringExtensions v0.9.3
⌃ [86223c79] + Graphs v1.9.0
  [d25df0c9] + Inflate v0.1.5
  [92d709cd] + IrrationalConstants v0.2.4
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [1914dd2f] + MacroTools v0.5.15
  [e1d29d7a] + Missings v1.2.0
  [b8a86587] + NearestNeighbors v0.4.21
  [bac558e1] + OrderedCollections v1.8.0
  [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [699a6c99] + SimpleTraits v0.9.4
  [a2af1166] + SortingAlgorithms v1.2.1
  [90137ffa] + StaticArrays v1.9.12
  [1e83bf80] + StaticArraysCore v1.4.3
  [82ae8749] + StatsAPI v1.7.0
⌅ [2913bbd2] + StatsBase v0.33.21
  [56f22d72] + Artifacts
  [2a0f44e3] + Base64
  [ade2ca70] + Dates
  [8ba89e20] + Distributed
  [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
  [1a1011a3] + SharedArrays
  [6462fe0b] + Sockets
  [2f01184e] + SparseArrays v1.10.0
  [10745b16] + Statistics v1.10.0
  [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
  [bea87d4a] + SuiteSparse_jll v7.2.1+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0
        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 To see why use `status --outdated -m`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 4.52s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 29.24s


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# Testing
#

     Testing CommunityDetection
      Status `/tmp/jl_q6Moth/Project.toml`
⌅ [ec485272] ArnoldiMethod v0.2.0
⌅ [aaaa29a8] Clustering v0.14.4
  [d427f087] CommunityDetection v0.2.0
⌃ [86223c79] Graphs v1.9.0
  [37e2e46d] LinearAlgebra
  [2f01184e] SparseArrays v1.10.0
  [8dfed614] Test
      Status `/tmp/jl_q6Moth/Manifest.toml`
⌅ [ec485272] ArnoldiMethod v0.2.0
⌅ [aaaa29a8] Clustering v0.14.4
  [d427f087] CommunityDetection v0.2.0
  [34da2185] Compat v4.16.0
  [9a962f9c] DataAPI v1.16.0
  [864edb3b] DataStructures v0.18.20
  [b4f34e82] Distances v0.10.12
  [ffbed154] DocStringExtensions v0.9.3
⌃ [86223c79] Graphs v1.9.0
  [d25df0c9] Inflate v0.1.5
  [92d709cd] IrrationalConstants v0.2.4
  [2ab3a3ac] LogExpFunctions v0.3.29
  [1914dd2f] MacroTools v0.5.15
  [e1d29d7a] Missings v1.2.0
  [b8a86587] NearestNeighbors v0.4.21
  [bac558e1] OrderedCollections v1.8.0
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [699a6c99] SimpleTraits v0.9.4
  [a2af1166] SortingAlgorithms v1.2.1
  [90137ffa] StaticArrays v1.9.12
  [1e83bf80] StaticArraysCore v1.4.3
  [82ae8749] StatsAPI v1.7.0
⌅ [2913bbd2] StatsBase v0.33.21
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [8ba89e20] Distributed
  [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
  [1a1011a3] SharedArrays
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [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
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
        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...
┌ Warning: `colwise!(r::AbstractArray, dist::PreMetric, a, b)` is deprecated, use `colwise!(dist, r, a, b)` instead.
│   caller = initseeds!(iseeds::Vector{Int64}, alg::Clustering.KmppAlg, X::Matrix{Float32}, metric::Distances.SqEuclidean; rng::Random._GLOBAL_RNG) at seeding.jl:184
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/seeding.jl:184
┌ Warning: `pairwise!(r::AbstractMatrix, dist::PreMetric, a::AbstractMatrix, b::AbstractMatrix; dims::Union{Nothing, Integer} = nothing)` is deprecated, use `pairwise!(dist, r, a, b; dims = dims)` instead.
│   caller = _kmeans!(X::Matrix{Float32}, weights::Nothing, centers::Matrix{Float32}, maxiter::Int64, tol::Float64, displevel::Int64, distance::Distances.SqEuclidean, rng::Random._GLOBAL_RNG) at kmeans.jl:172
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/kmeans.jl:172
┌ Warning: `pairwise!(r::AbstractMatrix, dist::PreMetric, a::AbstractMatrix, b::AbstractMatrix; dims::Union{Nothing, Integer} = nothing)` is deprecated, use `pairwise!(dist, r, a, b; dims = dims)` instead.
│   caller = _kmeans!(X::Matrix{Float32}, weights::Nothing, centers::Matrix{Float32}, maxiter::Int64, tol::Float64, displevel::Int64, distance::Distances.SqEuclidean, rng::Random._GLOBAL_RNG) at kmeans.jl:176
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/kmeans.jl:176
┌ Warning: `colwise!(r::AbstractArray, dist::PreMetric, a, b)` is deprecated, use `colwise!(dist, r, a, b)` instead.
│   caller = initseeds!(iseeds::Vector{Int64}, alg::Clustering.KmppAlg, X::Matrix{Float64}, metric::Distances.SqEuclidean; rng::Random._GLOBAL_RNG) at seeding.jl:184
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/seeding.jl:184
┌ Warning: `pairwise!(r::AbstractMatrix, dist::PreMetric, a::AbstractMatrix, b::AbstractMatrix; dims::Union{Nothing, Integer} = nothing)` is deprecated, use `pairwise!(dist, r, a, b; dims = dims)` instead.
│   caller = _kmeans!(X::Matrix{Float64}, weights::Nothing, centers::Matrix{Float64}, maxiter::Int64, tol::Float64, displevel::Int64, distance::Distances.SqEuclidean, rng::Random._GLOBAL_RNG) at kmeans.jl:172
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/kmeans.jl:172
┌ Warning: `pairwise!(r::AbstractMatrix, dist::PreMetric, a::AbstractMatrix, b::AbstractMatrix; dims::Union{Nothing, Integer} = nothing)` is deprecated, use `pairwise!(dist, r, a, b; dims = dims)` instead.
│   caller = _kmeans!(X::Matrix{Float64}, weights::Nothing, centers::Matrix{Float64}, maxiter::Int64, tol::Float64, displevel::Int64, distance::Distances.SqEuclidean, rng::Random._GLOBAL_RNG) at kmeans.jl:176
└ @ Clustering ~/.julia/packages/Clustering/lI5MF/src/kmeans.jl:176
Test Summary:      | Pass  Total   Time
CommunityDetection |   71     71  15.7s
     Testing CommunityDetection tests passed 

Testing completed after 87.64s

PkgEval succeeded after 133.89s