Package evaluation of AdaptiveKDTrees on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T04:31:22.128


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# Set-up
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Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.27s


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# Installation
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Installing AdaptiveKDTrees...
   Resolving package versions...
    Updating `~/.julia/environments/v1.10/Project.toml`
  [68d1b5e8] + AdaptiveKDTrees v0.1.0
    Updating `~/.julia/environments/v1.10/Manifest.toml`
  [68d1b5e8] + AdaptiveKDTrees v0.1.0
  [56f22d72] + Artifacts
  [8f399da3] + Libdl
  [37e2e46d] + LinearAlgebra
  [9a3f8284] + Random
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization
  [2f01184e] + SparseArrays v1.10.0
  [10745b16] + Statistics v1.10.0
  [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0
  [4536629a] + OpenBLAS_jll v0.3.23+4
  [bea87d4a] + SuiteSparse_jll v7.2.1+1
  [8e850b90] + libblastrampoline_jll v5.11.0+0

Installation completed after 3.82s


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# Precompilation
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Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 11.24s


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# Testing
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     Testing AdaptiveKDTrees
      Status `/tmp/jl_2d6lzZ/Project.toml`
  [68d1b5e8] AdaptiveKDTrees v0.1.0
  [37e2e46d] LinearAlgebra
  [10745b16] Statistics v1.10.0
      Status `/tmp/jl_2d6lzZ/Manifest.toml`
  [68d1b5e8] AdaptiveKDTrees v0.1.0
  [56f22d72] Artifacts
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [4536629a] OpenBLAS_jll v0.3.23+4
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
     Testing Running tests...
tree = KDTree with 4 points
[ Info: Performance test
size(X) = (3, 1000000)
[ Info: Tree creation
  2.813895 seconds (3.17 M allocations: 940.792 MiB, 27.53% gc time, 1.63% compilation time)
  2.321901 seconds (3.16 M allocations: 940.172 MiB, 17.88% gc time)
  2.407165 seconds (3.16 M allocations: 940.172 MiB, 18.27% gc time)
  2.290808 seconds (3.16 M allocations: 940.172 MiB, 19.43% gc time)
  2.234614 seconds (3.16 M allocations: 940.172 MiB, 19.58% gc time)
[ Info: Evaluation of a single point
  0.009051 seconds (244 allocations: 7.422 KiB, 96.70% compilation time)
  0.000077 seconds (223 allocations: 6.234 KiB)
  0.000085 seconds (223 allocations: 6.234 KiB)
  0.000081 seconds (223 allocations: 6.234 KiB)
  0.000077 seconds (223 allocations: 6.234 KiB)
[ Info: Find point closest to all in dataset
 34.479110 seconds (243.36 M allocations: 7.014 GiB, 4.38% gc time, 2.35% compilation time)
 31.405003 seconds (242.88 M allocations: 6.982 GiB, 4.41% gc time, 0.46% compilation time)
 30.997227 seconds (242.88 M allocations: 6.982 GiB, 3.31% gc time, 0.47% compilation time)
 30.442041 seconds (242.88 M allocations: 6.982 GiB, 3.07% gc time, 0.49% compilation time)
 24.492512 seconds (242.88 M allocations: 6.982 GiB, 3.09% gc time, 0.56% compilation time)
WARNING: using RangeSearch.add_point! in module Main conflicts with an existing identifier.
tree = RangeTree with 4 points
[ Info: Performance tests
size(X) = (3, 1000000)
[ Info: Tree building
  2.659367 seconds (4.20 M allocations: 1.083 GiB, 21.19% gc time)
  2.605673 seconds (4.20 M allocations: 1.083 GiB, 20.99% gc time)
  2.783069 seconds (4.20 M allocations: 1.083 GiB, 20.52% gc time)
  2.576421 seconds (4.20 M allocations: 1.083 GiB, 21.70% gc time)
  2.531638 seconds (4.20 M allocations: 1.083 GiB, 22.40% gc time)
[ Info: Point finding - 0.009999999999999998 range (approx. 9.99999999999999e-5 percent of points)
  0.000128 seconds (322 allocations: 12.562 KiB)
  0.000123 seconds (322 allocations: 12.562 KiB)
  0.000157 seconds (322 allocations: 12.562 KiB)
  0.000129 seconds (322 allocations: 12.562 KiB)
  0.000123 seconds (322 allocations: 12.562 KiB)
     Testing AdaptiveKDTrees tests passed 

Testing completed after 197.55s

PkgEval succeeded after 220.8s