Package evaluation of ReinforcementLearningCore on Julia 1.13.0-DEV.985 (9c94e7ae32*) started at 2025-08-15T00:22:06.791 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.85s ################################################################################ # Installation # Installing ReinforcementLearningCore... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [de1b191a] + ReinforcementLearningCore v0.15.5 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.2 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.26.0 [9de3a189] + CircularArrayBuffers v0.1.14 [d842c3ba] + CommonRLInterface v0.3.3 [408f5b3e] + CommonRLSpaces v0.2.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 ⌅ [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + 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v0.15.5 [6486599b] + ReinforcementLearningTrajectories v0.4.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [7e506255] + ScopedValues v1.4.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [cae243ae] + StackViews v0.1.2 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [a759f4b9] + TimerOutputs v0.5.29 [28d57a85] + Transducers v0.4.84 [410a4b4d] + Tricks v0.1.12 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.37+2 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll 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[e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 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 6.13s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 756.92s ################################################################################ # Testing # Testing ReinforcementLearningCore Status `/tmp/jl_nXBpT4/Project.toml` [1520ce14] AbstractTrees v0.4.5 ⌃ [052768ef] CUDA v5.8.2 [d360d2e6] ChainRulesCore v1.26.0 [9de3a189] CircularArrayBuffers v0.1.14 [d842c3ba] CommonRLInterface v0.3.3 [a8cc5b0e] Crayons v4.1.1 [31c24e10] Distributions v0.25.120 [5b8099bc] DomainSets v0.7.16 [1a297f60] FillArrays v1.13.0 [587475ba] Flux v0.16.5 [0c68f7d7] GPUArrays v11.2.3 [dde4c033] Metal v1.7.0 [21216c6a] Preferences v1.5.0 [92933f4c] ProgressMeter v1.10.4 [189a3867] Reexport v1.2.2 [e575027e] ReinforcementLearningBase v0.13.1 [de1b191a] ReinforcementLearningCore v0.15.5 [25e41dd2] ReinforcementLearningEnvironments v0.9.1 [6486599b] ReinforcementLearningTrajectories v0.4.2 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.6 [a759f4b9] TimerOutputs v0.5.29 [b8865327] UnicodePlots v3.8.1 [02a925ec] cuDNN v1.4.3 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[a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.15.0+1 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.7.15 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.5+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.45.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.65.0+0 [3f19e933] p7zip_jll v17.5.0+2 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... Precompiling packages... 27805.5 ms ✓ PrettyTables 3010.2 ms ✓ NVTX 84754.8 ms ✓ DataFrames Info Given CUDA was explicitly requested, output will be shown live  WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Int end`.  Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function UInt end`.  Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`.  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "CuArray" was extended in `CUBLAS` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`.  Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`.  Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuVector end`.  Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`.  Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. 129057.1 ms ✓ CUDA 37416.9 ms ✓ Atomix → AtomixCUDAExt 5 dependencies successfully precompiled in 284 seconds. 100 already precompiled. 1 dependency had output during precompilation: ┌ CUDA │ [Output was shown above] └ Precompiling packages... 50518.1 ms ✓ cuDNN 1 dependency successfully precompiled in 52 seconds. 106 already precompiled. Precompiling packages... 13093.2 ms ✓ UnicodePlots → IntervalSetsExt 1 dependency successfully precompiled in 14 seconds. 66 already precompiled. Precompiling packages... 3179.7 ms ✓ CommonRLSpaces 3325.7 ms ✓ MLDataDevices → MLDataDevicesChainRulesExt 93007.4 ms ✓ Zygote 5081.9 ms ✓ NNlib → NNlibSpecialFunctionsExt 5927.6 ms ✓ NNlib → NNlibForwardDiffExt 31661.3 ms ✓ MLUtils 8376.4 ms ✓ MLDataDevices → MLDataDevicesZygoteExt 8911.4 ms ✓ MLDataDevices → MLDataDevicesMLUtilsExt 35376.5 ms ✓ Flux 40536.7 ms ✓ ReinforcementLearningCore 10 dependencies successfully precompiled in 240 seconds. 208 already precompiled. Precompiling packages... 7749.7 ms ✓ ColorVectorSpace → SpecialFunctionsExt 74293.1 ms ✓ Metal 40728.1 ms ✓ CUDA → SpecialFunctionsExt 18849.7 ms ✓ Metal → SpecialFunctionsExt 28062.5 ms ✓ Atomix → AtomixMetalExt 5 dependencies successfully precompiled in 172 seconds. 118 already precompiled. Precompiling packages... 60470.0 ms ✓ CUDA → ChainRulesCoreExt 1 dependency successfully precompiled in 63 seconds. 109 already precompiled. Precompiling packages... 68959.6 ms ✓ NNlib → NNlibCUDAExt 1 dependency successfully precompiled in 71 seconds. 111 already precompiled. Precompiling packages... Info Given NNlibCUDACUDNNExt was explicitly requested, output will be shown live  WARNING: Constructor for type "cudnnConvolutionDescriptor" was extended in `NNlibCUDACUDNNExt` without explicit qualification or import.  NOTE: Assumed "cudnnConvolutionDescriptor" refers to `cuDNN.cudnnConvolutionDescriptor`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function cudnnConvolutionDescriptor end`.  Hint: To silence the warning, qualify `cudnnConvolutionDescriptor` as `cuDNN.cudnnConvolutionDescriptor` in the method signature or explicitly `import cuDNN: cudnnConvolutionDescriptor`. 60329.2 ms ✓ NNlib → NNlibCUDACUDNNExt 1 dependency successfully precompiled in 63 seconds. 114 already precompiled. 1 dependency had output during precompilation: ┌ NNlib → NNlibCUDACUDNNExt │ [Output was shown above] └ Precompiling packages... 18295.2 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 20 seconds. 47 already precompiled. Precompiling packages... 17689.1 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 21 seconds. 63 already precompiled. Precompiling packages... 17835.2 ms ✓ Zygote → ZygoteColorsExt 1 dependency successfully precompiled in 19 seconds. 71 already precompiled. Precompiling packages... 43834.4 ms ✓ CUDA → EnzymeCoreExt 1 dependency successfully precompiled in 46 seconds. 108 already precompiled. Precompiling packages... 42735.0 ms ✓ MLDataDevices → MLDataDevicesCUDAExt 1 dependency successfully precompiled in 45 seconds. 112 already precompiled. Precompiling packages... 43787.1 ms ✓ MLDataDevices → MLDataDevicescuDNNExt 1 dependency successfully precompiled in 46 seconds. 115 already precompiled. Precompiling packages... 59934.4 ms ✓ Flux → FluxCUDAcuDNNExt 1 dependency successfully precompiled in 64 seconds. 223 already precompiled. Precompiling packages... 35109.4 ms ✓ ReinforcementLearningCore → UnicodePlotsExt 1 dependency successfully precompiled in 42 seconds. 231 already precompiled. Precompiling packages... 39377.4 ms ✓ ReinforcementLearningEnvironments 1 dependency successfully precompiled in 44 seconds. 218 already precompiled. [ Info: Flux.GPU_BACKEND = CUDA Progress: 2%|▋ | ETA: 0:01:37 Progress: 100%|█████████████████████████████████████████| Time: 0:00:01 WARNING: Method definition timeit_debug_enabled() in module ReinforcementLearningCore at /home/pkgeval/.julia/packages/TimerOutputs/L5q5K/src/TimerOutput.jl:191 overwritten at /home/pkgeval/.julia/packages/TimerOutputs/L5q5K/src/TimerOutput.jl:210. Progress: 20%|████████▎ | ETA: 0:00:09 Progress: 100%|█████████████████████████████████████████| Time: 0:00:02 OfflineAgent: Error During Test at /home/pkgeval/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/agent.jl:42 Got exception outside of a @test BoundsError: attempt to access 7-element DataStructures.CircularBuffer{Bool} at index [4] Stacktrace: [1] getindex(es::EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}, idx::Int64) @ ReinforcementLearningTrajectories ~/.julia/packages/ReinforcementLearningTrajectories/Wj0WA/src/episodes.jl:73 [2] _iterate @ ./abstractarray.jl:1245 [inlined] [3] iterate @ ./abstractarray.jl:1241 [inlined] [4] iterate @ ./generator.jl:45 [inlined] [5] collect_to! @ ./array.jl:861 [inlined] [6] collect_to_with_first! @ ./array.jl:839 [inlined] [7] _collect(c::EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}, itr::Base.Generator{EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}, typeof(identity)}, ::Base.EltypeUnknown, isz::Base.HasShape{1}) @ Base ./array.jl:833 [8] collect_similar(cont::EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}, itr::Base.Generator{EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}, typeof(identity)}) @ Base ./array.jl:738 [9] map(f::Function, A::EpisodesBuffer{(:state, :next_state, :action, :reward, :terminal), Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, CircularArraySARTSTraces{Tuple{MultiplexTraces{(:state, :next_state), Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Int64}, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}, 5, Tuple{Int64, Int64, Trace{CircularVectorBuffer{Int64, Vector{Int64}}, SubArray{Int64, 0, CircularVectorBuffer{Int64, Vector{Int64}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Float32, Vector{Float32}}, SubArray{Float32, 0, CircularVectorBuffer{Float32, Vector{Float32}}, Tuple{Int64}, true}}, Trace{CircularVectorBuffer{Bool, Vector{Bool}}, SubArray{Bool, 0, CircularVectorBuffer{Bool, Vector{Bool}}, Tuple{Int64}, true}}}}, DataStructures.CircularBuffer{Int64}, DataStructures.CircularBuffer{Bool}}) @ Base ./abstractarray.jl:3386 [10] top-level scope @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/agent.jl:5 [11] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [12] macro expansion @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/agent.jl:43 [inlined] [13] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [14] macro expansion @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/agent.jl:71 [inlined] [15] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [16] top-level scope @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/policies.jl:1 [17] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [18] top-level scope @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/runtests.jl:25 [19] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [20] macro expansion @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/runtests.jl:27 [inlined] [21] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:309 [22] top-level scope @ none:6 [23] eval(m::Module, e::Any) @ Core ./boot.jl:489 [24] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [25] _start() @ Base ./client.jl:563 [ Info: initializing tictactoe state info cache... [ Info: finished initializing tictactoe state info cache in 3.342628344 seconds Basic RockPaperScissors (simultaneous) env checks: Test Failed at /home/pkgeval/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/multi_agent.jl:178 Expression: 0 <= ((multiagent_hook[Player(1)])[5]).times[1] <= 5 Evaluated: 0 <= 6.491896152496338 <= 5 Stacktrace: [1] top-level scope @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/multi_agent.jl:121 [2] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined] [3] macro expansion @ ~/.julia/packages/ReinforcementLearningCore/jIECU/test/policies/multi_agent.jl:178 [inlined] [4] macro expansion @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:745 [inlined] Progress: 20%|████████▎ | ETA: 0:00:12 Progress: 100%|█████████████████████████████████████████| Time: 0:00:02 ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. Set `MLDATADEVICES_SILENCE_WARN_NO_GPU=1` to silence this warning. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/Si8Pa/src/internal.jl:112 WARNING: Imported binding Flux.InvDecay was undeclared at import time during import to Main. ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 318 running 1 of 1 signal (10): User defined signal 1 hash_svec at /source/src/builtins.c:343 jl_object_id__cold at /source/src/builtins.c:477 immut_id_ at /source/src/builtins.c:436 ijl_object_id_ at /source/src/builtins.c:504 [inlined] jl_table_assign_bp at /source/src/iddict.c:47 [inlined] ijl_idtable_rehash at /source/src/iddict.c:25 jl_table_assign_bp at /source/src/iddict.c:101 [inlined] ijl_eqtable_put at /source/src/iddict.c:146 setindex! at ./iddict.jl:86 [inlined] #findall#7 at ./../usr/share/julia/Compiler/src/methodtable.jl:111 findall at ./../usr/share/julia/Compiler/src/methodtable.jl:102 [inlined] find_simple_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:386 jfptr_find_simple_method_matches_5194.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_invoke at /source/src/gf.c:4022 tojlinvoke86733.1 at /opt/julia/lib/julia/sys.so (unknown line) j_find_simple_method_matches_80683.1 at /opt/julia/lib/julia/sys.so (unknown line) #find_method_matches#134 at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:348 [inlined] find_method_matches at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:342 [inlined] abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:120 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3857 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3814 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4363 jfptr_typeinf_local_85066.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4521 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1385 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1568 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1577 jfptr_typeinf_ext_toplevel_83133.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3514 _jl_invoke at /source/src/gf.c:4007 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61437.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61437.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61437.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_47667.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x724262966249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_73644.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000736fb0f093c0 Total snapshots: 383. Utilization: 0% ╎383 @Base/task.jl:1129 wait_forever() 382╎ 383 @Base/task.jl:1192 wait() [318] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ReinforcementLearningCore/jIECU/test/utils/networks.jl:5 unknown function (ip: 0x7242629d674e) at /lib/x86_64-linux-gnu/libc.so.6 malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) operator new at /workspace/srcdir/gcc-14.2.0/libstdc++-v3/libsupc++/new_op.cc:50 allocate at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/ext/new_allocator.h:114 [inlined] allocate at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/alloc_traits.h:444 [inlined] _M_get_node at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:438 [inlined] _M_create_node&> at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:630 [inlined] _M_insert&> at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:1907 [inlined] emplace_back&> at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:1223 [inlined] _M_initialize_dispatch > > at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:1836 [inlined] list > > at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/stl_list.h:802 [inlined] insert > > at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/list.tcc:137 [inlined] _M_assign_dispatch > > at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/list.tcc:320 [inlined] operator= at /usr/local/x86_64-linux-gnu/include/c++/9.1.0/bits/list.tcc:286 operator= at /source/usr/include/llvm/ADT/SparseBitVector.h:458 [inlined] operator= at /source/usr/include/llvm/ADT/SparseBitVector.h:461 [inlined] ComputeLiveness at /source/src/llvm-late-gc-lowering.cpp:1637 runOnFunction at /source/src/llvm-late-gc-lowering.cpp:2595 run at /source/src/llvm-late-gc-lowering.cpp:2639 PkgEval terminated after 2730.17s: test duration exceeded the time limit