Package evaluation to test AdaptiveKDTrees on Julia 1.11.8 (29b3528cce*) started at 2026-01-20T00:54:05.695 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.11` Set-up completed after 8.74s ################################################################################ # Installation # Installing AdaptiveKDTrees... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [68d1b5e8] + AdaptiveKDTrees v0.1.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [68d1b5e8] + AdaptiveKDTrees v0.1.0 [10745b16] + Statistics v1.11.1 [56f22d72] + Artifacts v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.27+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Installation completed after 1.71s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 893.4 ms ✓ AdaptiveKDTrees 1 dependency successfully precompiled in 1 seconds. 2 already precompiled. Precompilation completed after 12.7s ################################################################################ # Testing # Testing AdaptiveKDTrees Status `/tmp/jl_pediwv/Project.toml` [68d1b5e8] AdaptiveKDTrees v0.1.0 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.11.0 Status `/tmp/jl_pediwv/Manifest.toml` [68d1b5e8] AdaptiveKDTrees v0.1.0 [10745b16] Statistics v1.11.1 [56f22d72] Artifacts v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [4536629a] OpenBLAS_jll v0.3.27+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 3.090553 seconds (4.38 M allocations: 857.962 MiB, 22.03% gc time, 1.75% compilation time) 3.172553 seconds (4.36 M allocations: 857.142 MiB, 25.27% gc time) 2.864276 seconds (4.36 M allocations: 857.094 MiB, 20.16% gc time) 2.939871 seconds (4.36 M allocations: 857.067 MiB, 23.70% gc time) 2.809760 seconds (4.36 M allocations: 857.033 MiB, 19.74% gc time) [ Info: Evaluation of a single point 0.009541 seconds (681 allocations: 17.625 KiB, 97.37% compilation time) 0.000132 seconds (647 allocations: 16.109 KiB) 0.000126 seconds (647 allocations: 16.109 KiB) 0.000161 seconds (647 allocations: 16.109 KiB) 0.000128 seconds (647 allocations: 16.109 KiB) [ Info: Find point closest to all in dataset 36.427800 seconds (276.74 M allocations: 7.006 GiB, 5.26% gc time, 2.72% compilation time) 35.927871 seconds (276.21 M allocations: 6.980 GiB, 5.41% gc time, 0.52% compilation time) 35.667755 seconds (276.21 M allocations: 6.980 GiB, 4.78% gc time, 0.51% compilation time) 35.290865 seconds (276.21 M allocations: 6.980 GiB, 4.72% gc time, 0.56% compilation time) 35.292510 seconds (276.21 M allocations: 6.980 GiB, 5.52% gc time, 0.54% 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 3.505268 seconds (5.67 M allocations: 1.002 GiB, 21.65% gc time) 3.217327 seconds (5.67 M allocations: 1.002 GiB, 22.06% gc time) 3.594119 seconds (5.67 M allocations: 1.002 GiB, 26.76% gc time) 3.284407 seconds (5.67 M allocations: 1.002 GiB, 21.39% gc time) 3.687184 seconds (5.67 M allocations: 1.002 GiB, 29.43% gc time) [ Info: Point finding - 0.009999999999999998 range (approx. 9.99999999999999e-5 percent of points) 0.000177 seconds (424 allocations: 12.766 KiB) 0.000162 seconds (424 allocations: 12.766 KiB) 0.000136 seconds (424 allocations: 12.766 KiB) 0.000141 seconds (424 allocations: 12.766 KiB) 0.000144 seconds (424 allocations: 12.766 KiB) Testing AdaptiveKDTrees tests passed Testing completed after 243.85s PkgEval succeeded after 274.35s