Package evaluation of AdaptiveKDTrees on Julia 1.10.9 (96dc2d8c45*) started at 2025-06-06T11:49:18.957


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# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 5.21s


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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 3.76s


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# Precompilation
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Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 10.87s


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# Testing
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     Testing AdaptiveKDTrees
      Status `/tmp/jl_rUHLeE/Project.toml`
  [68d1b5e8] AdaptiveKDTrees v0.1.0
  [37e2e46d] LinearAlgebra
  [10745b16] Statistics v1.10.0
      Status `/tmp/jl_rUHLeE/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
  2.779746 seconds (3.17 M allocations: 940.792 MiB, 27.40% gc time, 1.48% compilation time)
  2.389334 seconds (3.16 M allocations: 940.172 MiB, 18.49% gc time)
  2.549858 seconds (3.16 M allocations: 940.172 MiB, 19.26% gc time)
  2.315752 seconds (3.16 M allocations: 940.172 MiB, 20.92% gc time)
  2.232569 seconds (3.16 M allocations: 940.172 MiB, 20.94% gc time)
[ Info: Evaluation of a single point
  0.007492 seconds (417 allocations: 12.188 KiB, 95.92% compilation time)
  0.000108 seconds (396 allocations: 11.000 KiB)
  0.000104 seconds (396 allocations: 11.000 KiB)
  0.000105 seconds (396 allocations: 11.000 KiB)
  0.000115 seconds (396 allocations: 11.000 KiB)
[ Info: Find point closest to all in dataset
 34.765233 seconds (243.27 M allocations: 7.012 GiB, 4.35% gc time, 2.31% compilation time)
 31.717170 seconds (242.80 M allocations: 6.980 GiB, 4.53% gc time, 0.45% compilation time)
 31.429675 seconds (242.80 M allocations: 6.980 GiB, 3.41% gc time, 0.42% compilation time)
 31.038556 seconds (242.80 M allocations: 6.980 GiB, 3.13% gc time, 0.46% compilation time)
 29.713393 seconds (242.80 M allocations: 6.980 GiB, 2.86% gc time, 0.48% 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
  2.987502 seconds (4.20 M allocations: 1.083 GiB, 26.72% gc time)
  2.906203 seconds (4.20 M allocations: 1.083 GiB, 27.38% gc time)
  2.582380 seconds (4.20 M allocations: 1.083 GiB, 22.55% gc time)
  2.590173 seconds (4.20 M allocations: 1.083 GiB, 22.28% gc time)
  2.850904 seconds (4.20 M allocations: 1.083 GiB, 20.96% gc time)
[ Info: Point finding - 0.009999999999999998 range (approx. 9.99999999999999e-5 percent of points)
  0.000228 seconds (254 allocations: 9.203 KiB)
  0.000116 seconds (254 allocations: 9.203 KiB)
  0.000122 seconds (254 allocations: 9.203 KiB)
  0.000096 seconds (254 allocations: 9.203 KiB)
  0.000112 seconds (254 allocations: 9.203 KiB)
     Testing AdaptiveKDTrees tests passed 

Testing completed after 205.39s

PkgEval succeeded after 229.06s