CondaPkg.jl
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JuliaPy
Testing a package that depend on CondaPkg.jl creates a new environment every time
Greetings,
Thanks for the very nice package for managing packages!
I'd like to fix the Conda environment when running tests for a package that depends on CondaPkg. Creating a new environment every time seems wasteful (a lot of writes to the drive) when the Python packages are sizable. Could you suggest a way to work around it?
This is what I tried:
I'm using PreferenceTools.jl and have the proper env set in the main REPL; this is verified to be working. I suspect that the setting does not propagate into the test environment, as everything for testing was compiled from scratch, including a random path to a new conda environment.
Thanks in advance!
My workaround is to edit runtests.jl. At the very beginning, insert
if gethostname() == "MY_DEV_MACHINE_NAME"
ENV["JULIA_CONDAPKG_ENV"] = "/PATH/TO/MY/DEV/MAMBA/ENV"
ENV["JULIA_CONDAPKG_OFFLINE"] = true
end
I guess a better solution is to resort to the same temp dir for tests. The temp dir should be created the first time the tests are run on a computer, but we shall stay with the same temp folder to avoid unnecessary disk writes.
I pinned it down to resolve(), but I'm not sure how the temp dir is passed to conda_env when it's in a test environment. Otherwise, I can help fixing it.
For an unknown reason, the environmental variables are not respected in the very first test after updating deps. This is the full output. Not sure if that's accidental. I can re-check after any deps get updated again.
(@v1.10) pkg> activate .
Activating project at `~/repos/Andes2j`
(Andes2j) pkg> st
Project Andes2j v0.1.0
Status `~/repos/Andes2j/Project.toml`
[93a26e3f] Andes v1.0.0 `~/repos/Andes.jl`
[60fd53ec] Andes2jModels v1.0.0-DEV `~/repos/Andes2jModels`
[459566f4] DiffEqCallbacks v3.6.0
[0c46a032] DifferentialEquations v7.13.0
[ffbed154] DocStringExtensions v0.9.3
[f6369f11] ForwardDiff v0.10.36
[ef3ab10e] KLU v0.6.0
[7ed4a6bd] LinearSolve v2.28.0
[bdcacae8] LoopVectorization v0.12.169
[33e6dc65] MKL v0.6.3
[1dea7af3] OrdinaryDiffEq v6.74.1
[d236fae5] PreallocationTools v0.4.20
[ba661fbb] PreferenceTools v0.1.2
[6099a3de] PythonCall v0.9.19
[0bca4576] SciMLBase v2.32.0
[47a9eef4] SparseDiffTools v2.17.0
[09ab397b] StructArrays v0.6.18
[c3572dad] Sundials v4.24.0
[0c5d862f] Symbolics v5.28.0
[37e2e46d] LinearAlgebra
[de0858da] Printf
[2f01184e] SparseArrays v1.10.0
(Andes2j) pkg> test
Testing Andes2j
Status `/tmp/jl_0VMNiW/Project.toml`
[93a26e3f] Andes v1.0.0 `~/repos/Andes.jl`
[eb82b4c1] Andes2j v0.1.0 `~/repos/Andes2j`
[6e4b80f9] BenchmarkTools v1.5.0
[2774e3e8] NLsolve v4.5.1
[56ddb016] Logging
[8dfed614] Test
Status `/tmp/jl_0VMNiW/Manifest.toml`
[47edcb42] ADTypes v0.2.7
[1520ce14] AbstractTrees v0.4.5
[7d9f7c33] Accessors v0.1.36
[79e6a3ab] Adapt v4.0.4
[93a26e3f] Andes v1.0.0 `~/repos/Andes.jl`
[eb82b4c1] Andes2j v0.1.0 `~/repos/Andes2j`
[60fd53ec] Andes2jModels v1.0.0-DEV `~/repos/Andes2jModels`
[ec485272] ArnoldiMethod v0.4.0
[4fba245c] ArrayInterface v7.9.0
[4c555306] ArrayLayouts v1.9.2
[aae01518] BandedMatrices v1.6.1
[6e4b80f9] BenchmarkTools v1.5.0
[e2ed5e7c] Bijections v0.1.6
[62783981] BitTwiddlingConvenienceFunctions v0.1.5
[764a87c0] BoundaryValueDiffEq v5.7.1
[fa961155] CEnum v0.5.0
[2a0fbf3d] CPUSummary v0.2.4
[49dc2e85] Calculus v0.5.1
[d360d2e6] ChainRulesCore v1.23.0
[fb6a15b2] CloseOpenIntervals v0.1.12
[861a8166] Combinatorics v1.0.2
[38540f10] CommonSolve v0.2.4
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v4.14.0
[b152e2b5] CompositeTypes v0.1.4
[a33af91c] CompositionsBase v0.1.2
[2569d6c7] ConcreteStructs v0.2.3
[992eb4ea] CondaPkg v0.2.22
[187b0558] ConstructionBase v1.5.5
[adafc99b] CpuId v0.3.1
[9a962f9c] DataAPI v1.16.0
[864edb3b] DataStructures v0.18.19
[e2d170a0] DataValueInterfaces v1.0.0
[bcd4f6db] DelayDiffEq v5.47.1
[2b5f629d] DiffEqBase v6.149.0
[459566f4] DiffEqCallbacks v3.6.0
[77a26b50] DiffEqNoiseProcess v5.21.0
[163ba53b] DiffResults v1.1.0
[b552c78f] DiffRules v1.15.1
[0c46a032] DifferentialEquations v7.13.0
[b4f34e82] Distances v0.10.11
[31c24e10] Distributions v0.25.107
[ffbed154] DocStringExtensions v0.9.3
[5b8099bc] DomainSets v0.7.12
[fa6b7ba4] DualNumbers v0.6.8
[7c1d4256] DynamicPolynomials v0.5.6
[4e289a0a] EnumX v1.0.4
⌃ [f151be2c] EnzymeCore v0.6.6
[d4d017d3] ExponentialUtilities v1.26.1
[e2ba6199] ExprTools v0.1.10
[9d29842c] FastAlmostBandedMatrices v0.1.1
[7034ab61] FastBroadcast v0.2.8
[9aa1b823] FastClosures v0.3.2
[29a986be] FastLapackInterface v2.0.2
[1a297f60] FillArrays v1.10.0
[6a86dc24] FiniteDiff v2.23.0
[1fa38f19] Format v1.3.7
[f6369f11] ForwardDiff v0.10.36
[069b7b12] FunctionWrappers v1.1.3
[77dc65aa] FunctionWrappersWrappers v0.1.3
[d9f16b24] Functors v0.4.10
[46192b85] GPUArraysCore v0.1.6
[c145ed77] GenericSchur v0.5.4
[86223c79] Graphs v1.10.0
[3e5b6fbb] HostCPUFeatures v0.1.16
[34004b35] HypergeometricFunctions v0.3.23
[615f187c] IfElse v0.1.1
[d25df0c9] Inflate v0.1.4
[8197267c] IntervalSets v0.7.10
[3587e190] InverseFunctions v0.1.13
[92d709cd] IrrationalConstants v0.2.2
[82899510] IteratorInterfaceExtensions v1.0.0
[692b3bcd] JLLWrappers v1.5.0
[682c06a0] JSON v0.21.4
[0f8b85d8] JSON3 v1.14.0
[ccbc3e58] JumpProcesses v9.11.1
[ef3ab10e] KLU v0.6.0
[ba0b0d4f] Krylov v0.9.5
[b964fa9f] LaTeXStrings v1.3.1
[2ee39098] LabelledArrays v1.15.1
[984bce1d] LambertW v0.4.6
[23fbe1c1] Latexify v0.16.2
[10f19ff3] LayoutPointers v0.1.15
[5078a376] LazyArrays v1.9.1
[2d8b4e74] LevyArea v1.0.0
[d3d80556] LineSearches v7.2.0
[7ed4a6bd] LinearSolve v2.28.0
[2ab3a3ac] LogExpFunctions v0.3.27
[bdcacae8] LoopVectorization v0.12.169
[33e6dc65] MKL v0.6.3
[1914dd2f] MacroTools v0.5.13
[d125e4d3] ManualMemory v0.1.8
[a3b82374] MatrixFactorizations v2.2.0
[bb5d69b7] MaybeInplace v0.1.2
[0b3b1443] MicroMamba v0.1.14
[e1d29d7a] Missings v1.2.0
[46d2c3a1] MuladdMacro v0.2.4
[102ac46a] MultivariatePolynomials v0.5.4
[d8a4904e] MutableArithmetics v1.4.2
[d41bc354] NLSolversBase v7.8.3
[2774e3e8] NLsolve v4.5.1
[77ba4419] NaNMath v1.0.2
[8913a72c] NonlinearSolve v3.9.1
[6fe1bfb0] OffsetArrays v1.13.0
[429524aa] Optim v1.9.4
[bac558e1] OrderedCollections v1.6.3
[1dea7af3] OrdinaryDiffEq v6.74.1
[90014a1f] PDMats v0.11.31
[65ce6f38] PackageExtensionCompat v1.0.2
[d96e819e] Parameters v0.12.3
[69de0a69] Parsers v2.8.1
[fa939f87] Pidfile v1.3.0
[e409e4f3] PoissonRandom v0.4.4
[f517fe37] Polyester v0.7.12
[1d0040c9] PolyesterWeave v0.2.1
[85a6dd25] PositiveFactorizations v0.2.4
[d236fae5] PreallocationTools v0.4.20
[aea7be01] PrecompileTools v1.2.1
[ba661fbb] PreferenceTools v0.1.2
[21216c6a] Preferences v1.4.3
[6099a3de] PythonCall v0.9.19
[1fd47b50] QuadGK v2.9.4
[74087812] Random123 v1.7.0
[e6cf234a] RandomNumbers v1.5.3
[3cdcf5f2] RecipesBase v1.3.4
[731186ca] RecursiveArrayTools v3.13.0
[f2c3362d] RecursiveFactorization v0.2.22
[189a3867] Reexport v1.2.2
[ae029012] Requires v1.3.0
[ae5879a3] ResettableStacks v1.1.1
[79098fc4] Rmath v0.7.1
[7e49a35a] RuntimeGeneratedFunctions v0.5.12
[94e857df] SIMDTypes v0.1.0
[476501e8] SLEEFPirates v0.6.42
[0bca4576] SciMLBase v2.32.0
[c0aeaf25] SciMLOperators v0.3.8
[53ae85a6] SciMLStructures v1.1.0
[6c6a2e73] Scratch v1.2.1
[efcf1570] Setfield v1.1.1
[727e6d20] SimpleNonlinearSolve v1.7.0
[699a6c99] SimpleTraits v0.9.4
[ce78b400] SimpleUnPack v1.1.0
[a2af1166] SortingAlgorithms v1.2.1
[47a9eef4] SparseDiffTools v2.17.0
[e56a9233] Sparspak v0.3.9
[276daf66] SpecialFunctions v2.3.1
[aedffcd0] Static v0.8.10
[0d7ed370] StaticArrayInterface v1.5.0
[90137ffa] StaticArrays v1.9.3
[1e83bf80] StaticArraysCore v1.4.2
[82ae8749] StatsAPI v1.7.0
[2913bbd2] StatsBase v0.34.3
[4c63d2b9] StatsFuns v1.3.1
[9672c7b4] SteadyStateDiffEq v2.1.0
[789caeaf] StochasticDiffEq v6.65.1
[7792a7ef] StrideArraysCore v0.5.3
[09ab397b] StructArrays v0.6.18
[856f2bd8] StructTypes v1.10.0
[c3572dad] Sundials v4.24.0
[2efcf032] SymbolicIndexingInterface v0.3.16
[19f23fe9] SymbolicLimits v0.2.0
[d1185830] SymbolicUtils v1.5.1
[0c5d862f] Symbolics v5.28.0
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.11.1
[8290d209] ThreadingUtilities v0.5.2
[a759f4b9] TimerOutputs v0.5.23
[d5829a12] TriangularSolve v0.1.21
[410a4b4d] Tricks v0.1.8
[781d530d] TruncatedStacktraces v1.4.0
[3a884ed6] UnPack v1.0.2
[a7c27f48] Unityper v0.1.6
[e17b2a0c] UnsafePointers v1.0.0
[3d5dd08c] VectorizationBase v0.21.65
[19fa3120] VertexSafeGraphs v0.2.0
[1d5cc7b8] IntelOpenMP_jll v2024.0.2+0
[856f044c] MKL_jll v2024.0.0+0
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[f50d1b31] Rmath_jll v0.4.0+0
⌅ [fb77eaff] Sundials_jll v5.2.2+0
[f8abcde7] micromamba_jll v1.5.8+0
[0dad84c5] ArgTools v1.1.1
[56f22d72] Artifacts
[2a0f44e3] Base64
[ade2ca70] Dates
[8ba89e20] Distributed
[f43a241f] Downloads v1.6.0
[7b1f6079] FileWatching
[9fa8497b] Future
[b77e0a4c] InteractiveUtils
[4af54fe1] LazyArtifacts
[b27032c2] LibCURL v0.6.4
[76f85450] LibGit2
[8f399da3] Libdl
[37e2e46d] LinearAlgebra
[56ddb016] Logging
[d6f4376e] Markdown
[a63ad114] Mmap
[ca575930] NetworkOptions v1.2.0
[44cfe95a] Pkg v1.10.0
[de0858da] Printf
[9abbd945] Profile
[3fa0cd96] REPL
[9a3f8284] Random
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization
[1a1011a3] SharedArrays
[6462fe0b] Sockets
[2f01184e] SparseArrays v1.10.0
[10745b16] Statistics v1.10.0
[4607b0f0] SuiteSparse
[fa267f1f] TOML v1.0.3
[a4e569a6] Tar v1.10.0
[8dfed614] Test
[cf7118a7] UUIDs
[4ec0a83e] Unicode
[e66e0078] CompilerSupportLibraries_jll v1.1.0+0
[deac9b47] LibCURL_jll v8.4.0+0
[e37daf67] LibGit2_jll v1.6.4+0
[29816b5a] LibSSH2_jll v1.11.0+1
[c8ffd9c3] MbedTLS_jll v2.28.2+1
[14a3606d] MozillaCACerts_jll v2023.1.10
[4536629a] OpenBLAS_jll v0.3.23+4
[05823500] OpenLibm_jll v0.8.1+2
[bea87d4a] SuiteSparse_jll v7.2.1+1
[83775a58] Zlib_jll v1.2.13+1
[8e850b90] libblastrampoline_jll v5.8.0+1
[8e850ede] nghttp2_jll v1.52.0+1
[3f19e933] p7zip_jll v17.4.0+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.
Precompiling project...
55 dependencies successfully precompiled in 202 seconds. 202 already precompiled.
1 dependency had output during precompilation:
┌ SciMLBase → SciMLBasePythonCallExt
│ CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
│ CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
│ CondaPkg Resolving changes
│ + andes
│ + kvxopt
│ + libstdcxx-ng
│ + python
│ CondaPkg Creating environment
│ │ /home/hacui/.julia/artifacts/7973f2c7725e2d0eef7a95159454c4145f0945a2/bin/micromamba
│ │ -r /home/hacui/.julia/scratchspaces/0b3b1443-0f03-428d-bdfb-f27f9c1191ea/root
│ │ create
│ │ -y
│ │ -p /tmp/jl_0VMNiW/.CondaPkg/env
│ │ --override-channels
│ │ --no-channel-priority
│ │ andes[version='*']
│ │ kvxopt[version='>1.3.0.0']
│ │ libstdcxx-ng[version='>=3.4,<13.0']
│ │ python[version='>=3.7,<4',channel='conda-forge',build='*cpython*']
│ └ -c conda-forge
│
│ Transaction
│
│ Prefix: /tmp/jl_0VMNiW/.CondaPkg/env
│
│ Updating specs:
│
│ - andes=*
│ - kvxopt[version='>1.3.0.0']
│ - libstdcxx-ng[version='>=3.4,<13.0']
│ - conda-forge::python[version='>=3.7,<4',build=*cpython*]
│
│
│ Package Version Build Channel Size
│ ───────────────────────────────────────────────────────────────────────────────────
│ Install:
│ ───────────────────────────────────────────────────────────────────────────────────
│
│ + python_abi 3.12 4_cp312 conda-forge Cached
│ + libstdcxx-ng 12.3.0 h0f45ef3_5 conda-forge Cached
│ + _libgcc_mutex 0.1 conda_forge conda-forge Cached
│ + ld_impl_linux-64 2.40 h41732ed_0 conda-forge Cached
│ + ca-certificates 2024.2.2 hbcca054_0 conda-forge Cached
│ + libgomp 13.2.0 h807b86a_5 conda-forge Cached
│ + _openmp_mutex 4.5 2_gnu conda-forge Cached
│ + libgcc-ng 13.2.0 h807b86a_5 conda-forge Cached
│ + xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge Cached
│ + pthread-stubs 0.4 h36c2ea0_1001 conda-forge Cached
│ + libiconv 1.17 hd590300_2 conda-forge Cached
│ + icu 73.2 h59595ed_0 conda-forge Cached
│ + libwebp-base 1.3.2 hd590300_1 conda-forge Cached
│ + metis 5.1.0 h59595ed_1007 conda-forge Cached
│ + gmp 6.3.0 h59595ed_1 conda-forge Cached
│ + libbrotlicommon 1.1.0 hd590300_1 conda-forge Cached
│ + libdeflate 1.20 hd590300_0 conda-forge Cached
│ + lerc 4.0.0 h27087fc_0 conda-forge Cached
│ + libjpeg-turbo 3.0.0 hd590300_1 conda-forge Cached
│ + libqdldl 0.1.5 h27087fc_1 conda-forge Cached
│ + xorg-libxau 1.0.11 hd590300_0 conda-forge Cached
│ + openssl 3.2.1 hd590300_1 conda-forge Cached
│ + libxcrypt 4.4.36 hd590300_1 conda-forge Cached
│ + libexpat 2.6.2 h59595ed_0 conda-forge Cached
│ + libzlib 1.2.13 hd590300_5 conda-forge Cached
│ + libffi 3.4.2 h7f98852_5 conda-forge Cached
│ + bzip2 1.0.8 hd590300_5 conda-forge Cached
│ + yaml 0.2.5 h7f98852_2 conda-forge Cached
│ + ncurses 6.4.20240210 h59595ed_0 conda-forge Cached
│ + libgfortran5 13.2.0 ha4646dd_5 conda-forge Cached
│ + libuuid 2.38.1 h0b41bf4_0 conda-forge Cached
│ + libnsl 2.0.1 hd590300_0 conda-forge Cached
│ + xz 5.2.6 h166bdaf_0 conda-forge Cached
│ + mpfr 4.2.1 h9458935_1 conda-forge Cached
│ + glpk 5.0 h445213a_0 conda-forge Cached
│ + libbrotlienc 1.1.0 hd590300_1 conda-forge Cached
│ + libbrotlidec 1.1.0 hd590300_1 conda-forge Cached
│ + libosqp 0.6.3 h59595ed_0 conda-forge Cached
│ + libxcb 1.15 h0b41bf4_0 conda-forge Cached
│ + zstd 1.5.5 hfc55251_0 conda-forge Cached
│ + libllvm14 14.0.6 hcd5def8_4 conda-forge Cached
│ + libpng 1.6.43 h2797004_0 conda-forge Cached
│ + tk 8.6.13 noxft_h4845f30_101 conda-forge Cached
│ + libsqlite 3.45.2 h2797004_0 conda-forge Cached
│ + readline 8.2 h8228510_1 conda-forge Cached
│ + libgfortran-ng 13.2.0 h69a702a_5 conda-forge Cached
│ + libxml2 2.12.6 h232c23b_1 conda-forge Cached
│ + brotli-bin 1.1.0 hd590300_1 conda-forge Cached
│ + libtiff 4.6.0 h1dd3fc0_3 conda-forge Cached
│ + freetype 2.12.1 h267a509_2 conda-forge Cached
│ + fftw 3.3.10 nompi_hc118613_108 conda-forge Cached
│ + libopenblas 0.3.27 pthreads_h413a1c8_0 conda-forge Cached
│ + libhwloc 2.10.0 default_h2fb2949_1000 conda-forge Cached
│ + brotli 1.1.0 hd590300_1 conda-forge Cached
│ + openjpeg 2.5.2 h488ebb8_0 conda-forge Cached
│ + lcms2 2.16 hb7c19ff_0 conda-forge Cached
│ + libblas 3.9.0 22_linux64_openblas conda-forge Cached
│ + tbb 2021.12.0 h00ab1b0_0 conda-forge Cached
│ + libcblas 3.9.0 22_linux64_openblas conda-forge Cached
│ + liblapack 3.9.0 22_linux64_openblas conda-forge Cached
│ + gsl 2.7 he838d99_0 conda-forge Cached
│ + dsdp 5.8 hd9d9efa_1203 conda-forge Cached
│ + suitesparse 5.10.1 h5a4f163_3 conda-forge Cached
│ + tzdata 2024a h0c530f3_0 conda-forge Cached
│ + python 3.12.2 hab00c5b_0_cpython conda-forge Cached
│ + wheel 0.43.0 pyhd8ed1ab_1 conda-forge Cached
│ + setuptools 69.5.1 pyhd8ed1ab_0 conda-forge Cached
│ + pip 24.0 pyhd8ed1ab_0 conda-forge Cached
│ + six 1.16.0 pyh6c4a22f_0 conda-forge Cached
│ + mpmath 1.3.0 pyhd8ed1ab_0 conda-forge Cached
│ + colorama 0.4.6 pyhd8ed1ab_0 conda-forge Cached
│ + munkres 1.1.4 pyh9f0ad1d_0 conda-forge Cached
│ + pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge Cached
│ + packaging 24.0 pyhd8ed1ab_0 conda-forge Cached
│ + cycler 0.12.1 pyhd8ed1ab_0 conda-forge Cached
│ + certifi 2024.2.2 pyhd8ed1ab_0 conda-forge Cached
│ + et_xmlfile 1.1.0 pyhd8ed1ab_0 conda-forge Cached
│ + pytz 2024.1 pyhd8ed1ab_0 conda-forge Cached
│ + python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge Cached
│ + humanfriendly 10.0 pyhd8ed1ab_6 conda-forge Cached
│ + texttable 1.7.0 pyhd8ed1ab_0 conda-forge Cached
│ + xlsxwriter 3.1.9 pyhd8ed1ab_0 conda-forge Cached
│ + ppft 1.7.6.8 pyhd8ed1ab_0 conda-forge Cached
│ + pox 0.3.4 pyhd8ed1ab_0 conda-forge Cached
│ + dill 0.3.8 pyhd8ed1ab_0 conda-forge Cached
│ + python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge Cached
│ + sympy 1.12 pyh04b8f61_3 conda-forge Cached
│ + tqdm 4.66.2 pyhd8ed1ab_0 conda-forge Cached
│ + coloredlogs 15.0.1 pyhd8ed1ab_3 conda-forge Cached
│ + pillow 10.3.0 py312hdcec9eb_0 conda-forge Cached
│ + psutil 5.9.8 py312h98912ed_0 conda-forge Cached
│ + llvmlite 0.42.0 py312hb06c811_1 conda-forge Cached
│ + numpy 1.26.4 py312heda63a1_0 conda-forge Cached
│ + kiwisolver 1.4.5 py312h8572e83_1 conda-forge Cached
│ + chardet 5.2.0 py312h7900ff3_1 conda-forge Cached
│ + pyyaml 6.0.1 py312h98912ed_1 conda-forge Cached
│ + kvxopt 1.3.2.0 py312h5c6e270_3 conda-forge Cached
│ + fonttools 4.51.0 py312h98912ed_0 conda-forge Cached
│ + openpyxl 3.1.2 py312h98912ed_1 conda-forge Cached
│ + multiprocess 0.70.16 py312h98912ed_0 conda-forge Cached
│ + contourpy 1.2.1 py312h8572e83_0 conda-forge Cached
│ + scipy 1.13.0 py312heda63a1_0 conda-forge Cached
│ + pandas 2.2.2 py312hfb8ada1_0 conda-forge Cached
│ + numba 0.59.1 py312hacefee8_0 conda-forge Cached
│ + matplotlib-base 3.8.4 py312he5832f3_0 conda-forge Cached
│ + pathos 0.3.2 pyhd8ed1ab_1 conda-forge Cached
│ + andes 1.9.2 pyhd8ed1ab_0 conda-forge Cached
│
│ Summary:
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│ Install: 107 packages
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│ Total download: 0 B
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│ ───────────────────────────────────────────────────────────────────────────────────
│
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│ Transaction starting
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│ Linking numpy-1.26.4-py312heda63a1_0
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│
│ Transaction finished
│
│ To activate this environment, use:
│
│ micromamba activate /tmp/jl_0VMNiW/.CondaPkg/env
│
│ Or to execute a single command in this environment, use:
│
│ micromamba run -p /tmp/jl_0VMNiW/.CondaPkg/env mycommand
└
Testing Running tests...
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
Generating code for 1 models on 32 processes.
-> Single process finished in 0.6262 seconds.
Generating code for 1 models on 32 processes.
Test Summary: | Pass Total Time
Andes2j.jl | 2 2 9.6s
Testing Andes2j tests passed
(Andes2j) pkg> test
Testing Andes2j
Status `/tmp/jl_1VeQlb/Project.toml`
[93a26e3f] Andes v1.0.0 `~/repos/Andes.jl`
[eb82b4c1] Andes2j v0.1.0 `~/repos/Andes2j`
[6e4b80f9] BenchmarkTools v1.5.0
[2774e3e8] NLsolve v4.5.1
[56ddb016] Logging
[8dfed614] Test
Status `/tmp/jl_1VeQlb/Manifest.toml`
[47edcb42] ADTypes v0.2.7
[1520ce14] AbstractTrees v0.4.5
[7d9f7c33] Accessors v0.1.36
[79e6a3ab] Adapt v4.0.4
[93a26e3f] Andes v1.0.0 `~/repos/Andes.jl`
[eb82b4c1] Andes2j v0.1.0 `~/repos/Andes2j`
[60fd53ec] Andes2jModels v1.0.0-DEV `~/repos/Andes2jModels`
[ec485272] ArnoldiMethod v0.4.0
[4fba245c] ArrayInterface v7.9.0
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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...
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
CondaPkg Offline mode, these changes are not resolved
+ andes
+ kvxopt
+ libstdcxx-ng
+ python
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
CondaPkg Offline mode, these changes are not resolved
+ andes
+ kvxopt
+ libstdcxx-ng
+ python
CondaPkg Found dependencies: /home/hacui/repos/Andes.jl/CondaPkg.toml
CondaPkg Found dependencies: /home/hacui/.julia/packages/PythonCall/bb3ax/CondaPkg.toml
CondaPkg Offline mode, these changes are not resolved
+ andes
+ kvxopt
+ libstdcxx-ng
+ python
Generating code for 1 models on 32 processes.
-> Single process finished in 0.6116 seconds.
Generating code for 1 models on 32 processes.
Test Summary: | Pass Total Time
Andes2j.jl | 2 2 9.6s
Testing Andes2j tests passed
julia>
I don't know how to do this sorry, and agree it's quite annoying. I'm a bit surprised that env vars you're setting are not making it into the test env?
Personally I run tests using the Julia extension in VS Code, which keeps a persistent test folder around, so you only pay the cost to create the Conda env once per day normally.
No problem! Thanks for your reply!
I ran the same test that contains the following at the top of runtests.jl
if gethostname() == "ampere"
ENV["JULIA_CONDAPKG_ENV"] = "/home/hacui/mambaforge/envs/a"
ENV["JULIA_CONDAPKG_OFFLINE"] = true
end
These env are not respected, and it again reinstalled all the packages. The second time I ran the test today, the env gets used, so that I am able to use a local version of the Python package.