Package evaluation of ReinforcementLearningExperiments on Julia 1.13.0-DEV.111 (ce76dbf07d*) started at 2025-02-28T06:52:50.409


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# Set-up
#


Set-up completed after 0.23s


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# Installation
#

Installing ReinforcementLearningExperiments...
   Resolving package versions...
   Installed ReinforcementLearningExperiments ─ v0.4.0
    Updating `~/.julia/environments/v1.13/Project.toml`
  [6bd458e5] + ReinforcementLearningExperiments v0.4.0
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [621f4979] + AbstractFFTs v1.5.0
  [1520ce14] + AbstractTrees v0.4.5
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.2.0
  [66dad0bd] + AliasTables v1.1.3
  [dce04be8] + ArgCheck v2.4.0
  [4fba245c] + ArrayInterface v7.18.0
  [a9b6321e] + Atomix v1.1.1
  [ab4f0b2a] + BFloat16s v0.5.0
  [198e06fe] + BangBang v0.4.4
  [9718e550] + Baselet v0.1.1
  [fa961155] + CEnum v0.5.0
⌅ [052768ef] + CUDA v5.5.2
  [1af6417a] + CUDA_Runtime_Discovery v0.3.5
  [082447d4] + ChainRules v1.72.3
  [d360d2e6] + ChainRulesCore v1.25.1
  [9de3a189] + CircularArrayBuffers v0.1.14
  [35d6a980] + ColorSchemes v3.29.0
  [3da002f7] + ColorTypes v0.12.0
  [c3611d14] + ColorVectorSpace v0.11.0
  [5ae59095] + Colors v0.13.0
  [d842c3ba] + CommonRLInterface v0.3.3
  [408f5b3e] + CommonRLSpaces v0.2.1
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.16.0
  [b152e2b5] + CompositeTypes v0.1.4
  [a33af91c] + CompositionsBase v0.1.2
  [187b0558] + ConstructionBase v1.5.8
  [6add18c4] + ContextVariablesX v0.1.3
  [d38c429a] + Contour v0.6.3
  [a8cc5b0e] + Crayons v4.1.1
  [9a962f9c] + DataAPI v1.16.0
  [a93c6f00] + DataFrames v1.7.0
  [864edb3b] + DataStructures v0.18.20
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [8bb1440f] + DelimitedFiles v1.9.1
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [31c24e10] + Distributions v0.25.117
  [ffbed154] + DocStringExtensions v0.9.3
  [5b8099bc] + DomainSets v0.7.15
  [fdbdab4c] + ElasticArrays v1.2.12
  [e2ba6199] + ExprTools v0.1.10
  [cc61a311] + FLoops v0.2.2
  [b9860ae5] + FLoopsBase v0.1.1
  [1a297f60] + FillArrays v1.13.0
  [6a86dc24] + FiniteDiff v2.27.0
  [53c48c17] + FixedPointNumbers v0.8.5
⌅ [587475ba] + Flux v0.14.25
  [f6369f11] + ForwardDiff v0.10.38
⌅ [d9f16b24] + Functors v0.4.12
⌅ [0c68f7d7] + GPUArrays v10.3.1
⌅ [46192b85] + GPUArraysCore v0.1.6
⌅ [61eb1bfa] + GPUCompiler v0.27.8
  [eafb193a] + Highlights v0.5.3
  [34004b35] + HypergeometricFunctions v0.3.27
  [7869d1d1] + IRTools v0.4.14
  [22cec73e] + InitialValues v0.3.1
  [842dd82b] + InlineStrings v1.4.3
  [8197267c] + IntervalSets v0.7.10
  [3587e190] + InverseFunctions v0.1.17
  [41ab1584] + InvertedIndices v1.3.1
  [92d709cd] + IrrationalConstants v0.2.4
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [692b3bcd] + JLLWrappers v1.7.0
  [682c06a0] + JSON v0.21.4
  [b14d175d] + JuliaVariables v0.2.4
  [63c18a36] + KernelAbstractions v0.9.34
  [929cbde3] + LLVM v9.2.0
  [8b046642] + LLVMLoopInfo v1.0.0
  [b964fa9f] + LaTeXStrings v1.4.0
  [d3d80556] + LineSearches v7.3.0
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [c2834f40] + MLCore v1.0.0
⌃ [7e8f7934] + MLDataDevices v1.5.3
  [d8e11817] + MLStyle v0.4.17
  [f1d291b0] + MLUtils v0.4.7
  [1914dd2f] + MacroTools v0.5.15
  [299715c1] + MarchingCubes v0.1.11
  [128add7d] + MicroCollections v0.2.0
  [e1d29d7a] + Missings v1.2.0
  [ffc61752] + Mustache v1.0.20
  [d41bc354] + NLSolversBase v7.8.3
  [872c559c] + NNlib v0.9.27
⌅ [5da4648a] + NVTX v0.3.5
  [77ba4419] + NaNMath v1.1.2
  [71a1bf82] + NameResolution v0.1.5
  [6fe1bfb0] + OffsetArrays v1.15.0
  [0b1bfda6] + OneHotArrays v0.2.6
  [a15396b6] + OnlineStats v1.7.1
  [925886fa] + OnlineStatsBase v1.7.1
  [429524aa] + Optim v1.11.0
⌅ [3bd65402] + Optimisers v0.3.4
  [bac558e1] + OrderedCollections v1.8.0
  [90014a1f] + PDMats v0.11.32
  [d96e819e] + Parameters v0.12.3
  [69de0a69] + Parsers v2.8.1
  [2dfb63ee] + PooledArrays v1.4.3
  [85a6dd25] + PositiveFactorizations v0.2.4
  [aea7be01] + PrecompileTools v1.2.1
  [21216c6a] + Preferences v1.4.3
  [8162dcfd] + PrettyPrint v0.2.0
  [08abe8d2] + PrettyTables v2.4.0
  [33c8b6b6] + ProgressLogging v0.1.4
  [92933f4c] + ProgressMeter v1.10.2
  [43287f4e] + PtrArrays v1.3.0
  [1fd47b50] + QuadGK v2.11.2
  [74087812] + Random123 v1.7.0
  [e6cf234a] + RandomNumbers v1.6.0
  [c1ae055f] + RealDot v0.1.0
  [3cdcf5f2] + RecipesBase v1.3.4
  [189a3867] + Reexport v1.2.2
⌅ [e575027e] + ReinforcementLearningBase v0.12.2
⌅ [de1b191a] + ReinforcementLearningCore v0.14.0
⌅ [25e41dd2] + ReinforcementLearningEnvironments v0.8.8
  [6bd458e5] + ReinforcementLearningExperiments v0.4.0
⌅ [6486599b] + ReinforcementLearningTrajectories v0.3.7
  [d607f57d] + ReinforcementLearningZoo v0.9.0
  [05181044] + RelocatableFolders v1.0.1
  [ae029012] + Requires v1.3.1
  [79098fc4] + Rmath v0.8.0
  [6c6a2e73] + Scratch v1.2.1
  [91c51154] + SentinelArrays v1.4.8
  [efcf1570] + Setfield v1.1.2
  [605ecd9f] + ShowCases v0.1.0
  [699a6c99] + SimpleTraits v0.9.4
  [a2af1166] + SortingAlgorithms v1.2.1
  [dc90abb0] + SparseInverseSubset v0.1.2
  [276daf66] + SpecialFunctions v2.5.0
  [171d559e] + SplittablesBase v0.1.15
  [860ef19b] + StableRNGs v1.0.2
  [cae243ae] + StackViews v0.1.1
  [90137ffa] + StaticArrays v1.9.12
  [1e83bf80] + StaticArraysCore v1.4.3
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.0
  [2913bbd2] + StatsBase v0.34.4
  [4c63d2b9] + StatsFuns v1.3.2
  [69024149] + StringEncodings v0.3.7
  [892a3eda] + StringManipulation v0.4.1
⌃ [09ab397b] + StructArrays v0.6.18
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.0
  [62fd8b95] + TensorCore v0.1.1
  [a759f4b9] + TimerOutputs v0.5.27
  [28d57a85] + Transducers v0.4.84
  [410a4b4d] + Tricks v0.1.10
  [3a884ed6] + UnPack v1.0.2
  [b8865327] + UnicodePlots v3.7.2
  [013be700] + UnsafeAtomics v0.3.0
  [44d3d7a6] + Weave v0.10.12
  [ddb6d928] + YAML v0.4.12
⌅ [e88e6eb3] + Zygote v0.6.75
  [700de1a5] + ZygoteRules v0.2.7
⌃ [02a925ec] + cuDNN v1.4.0
⌅ [4ee394cb] + CUDA_Driver_jll v0.10.4+0
⌅ [76a88914] + CUDA_Runtime_jll v0.15.5+0
⌅ [62b44479] + CUDNN_jll v9.4.0+0
  [9c1d0b0a] + JuliaNVTXCallbacks_jll v0.2.1+0
  [dad2f222] + LLVMExtra_jll v0.0.35+0
  [94ce4f54] + Libiconv_jll v1.18.0+0
  [e98f9f5b] + NVTX_jll v3.1.1+0
  [efe28fd5] + OpenSpecFun_jll v0.5.6+0
  [f50d1b31] + Rmath_jll v0.5.1+0
  [1e29f10c] + demumble_jll v1.3.0+0
  [0dad84c5] + ArgTools v1.1.2
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [f43a241f] + Downloads v1.7.0
  [7b1f6079] + FileWatching v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [4af54fe1] + LazyArtifacts v1.11.0
  [b27032c2] + LibCURL v0.6.4
  [76f85450] + LibGit2 v1.11.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.12.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [a63ad114] + Mmap v1.11.0
  [ca575930] + NetworkOptions v1.3.0
  [44cfe95a] + Pkg v1.12.0
  [de0858da] + Printf v1.11.0
  [3fa0cd96] + REPL v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
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  [2f01184e] + SparseArrays v1.12.0
  [f489334b] + StyledStrings v1.11.0
  [4607b0f0] + SuiteSparse
  [fa267f1f] + TOML v1.0.3
  [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 v8.11.1+1
  [e37daf67] + LibGit2_jll v1.9.0+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2024.12.31
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.0.16+0
  [bea87d4a] + SuiteSparse_jll v7.8.3+2
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.12.0+0
  [8e850ede] + nghttp2_jll v1.64.0+1
  [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. To see why use `status --outdated -m`
    Building ReinforcementLearningExperiments → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/f5be94805d274599b566fb754aa00ae855174472/build.log`

Installation completed after 73.43s


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# Precompilation
#

Precompiling PkgEval dependencies...
No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml`
No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml`

Precompiling package dependencies...
Precompiling packages...
  21927.5 ms  ✓ MLDataDevices → MLDataDevicesChainRulesExt
  12103.7 ms  ✓ ReinforcementLearningEnvironments
  11313.1 ms  ? GPUCompiler
  47149.9 ms  ✓ MLUtils
  29315.9 ms  ✓ MLDataDevices → MLDataDevicesOneHotArraysExt
   9066.5 ms  ✓ Zygote → ZygoteColorsExt
  91690.1 ms  ✓ MLDataDevices → MLDataDevicesZygoteExt
  11887.7 ms  ? CUDA
  73857.8 ms  ✓ MLDataDevices → MLDataDevicesMLUtilsExt
  12528.2 ms  ? CUDA → SpecialFunctionsExt
  12954.5 ms  ? Atomix → AtomixCUDAExt
  12506.9 ms  ? CUDA → ChainRulesCoreExt
  12832.1 ms  ? ArrayInterface → ArrayInterfaceCUDAExt
  12267.7 ms  ? MLDataDevices → MLDataDevicesCUDAExt
  16129.6 ms  ? NNlib → NNlibCUDAExt
 228679.3 ms  ✓ Flux
  12303.7 ms  ? cuDNN
 393791.8 ms  ✓ ReinforcementLearningCore
  12880.2 ms  ? MLDataDevices → MLDataDevicescuDNNExt
  17329.5 ms  ? NNlib → NNlibCUDACUDNNExt
  25560.4 ms  ? Flux → FluxCUDAcuDNNExt
  37270.3 ms  ✓ ReinforcementLearningZoo
  49876.1 ms  ✓ ReinforcementLearningExperiments
  11 dependencies successfully precompiled in 1174 seconds. 264 already precompiled.
  12 dependencies failed but may be precompilable after restarting julia
  15 dependencies had output during precompilation:
┌ Flux → FluxCUDAcuDNNExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ MLDataDevices → MLDataDevicesZygoteExt
│  WARNING: Constructor for type "Variable" was extended in `Zygote` without explicit qualification or import.
│    NOTE: Assumed "Variable" refers to `IRTools.Variable`. 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 Variable end`.
│    Hint: To silence the warning, qualify `Variable` as `IRTools.Variable` or explicitly `import IRTools: Variable`
└  
┌ CUDA
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ Flux
│  WARNING: Constructor for type "Variable" was extended in `Zygote` without explicit qualification or import.
│    NOTE: Assumed "Variable" refers to `IRTools.Variable`. 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 Variable end`.
│    Hint: To silence the warning, qualify `Variable` as `IRTools.Variable` or explicitly `import IRTools: Variable`
└  
┌ GPUCompiler
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ NNlib → NNlibCUDACUDNNExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ MLDataDevices → MLDataDevicescuDNNExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ ArrayInterface → ArrayInterfaceCUDAExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ Atomix → AtomixCUDAExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ CUDA → SpecialFunctionsExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ MLDataDevices → MLDataDevicesCUDAExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ ReinforcementLearningCore
│  WARNING: Constructor for type "Variable" was extended in `Zygote` without explicit qualification or import.
│    NOTE: Assumed "Variable" refers to `IRTools.Variable`. 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 Variable end`.
│    Hint: To silence the warning, qualify `Variable` as `IRTools.Variable` or explicitly `import IRTools: Variable`
└  
┌ CUDA → ChainRulesCoreExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ NNlib → NNlibCUDAExt
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  
┌ cuDNN
│  WARNING: Constructor for type "MethodError" was extended in `GPUCompiler` without explicit qualification or import.
│    NOTE: Assumed "MethodError" refers to `Base.MethodError`. 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 MethodError end`.
│    Hint: To silence the warning, qualify `MethodError` as `Base.MethodError` or explicitly `import Base: MethodError`
│  WARNING: Method definition (::Type{MethodError})(Any, Any) in module Core at boot.jl:446 overwritten in module GPUCompiler at /home/pkgeval/.julia/packages/GPUCompiler/2CW9L/src/jlgen.jl:38.
│  ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.
└  

Precompilation completed after 1178.59s


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# Loading
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Loading ReinforcementLearningExperiments...

Loading completed after 33.55s

PkgEval succeeded after 1311.07s