Package evaluation to test SingleCell10x on Julia 1.14.0-DEV.2226 (797a5ef2b0*) started at 2026-05-24T05:23:23.883 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 17.07s ################################################################################ # Installation # Installing SingleCell10x... Resolving package versions... Installed aws_c_cal_jll ───────── v0.9.13+0 Installed aws_c_common_jll ────── v0.12.6+0 Installed DelimitedFiles ──────── v1.9.1 Installed CodecZlib ───────────── v0.7.8 Installed TranscodingStreams ──── v0.11.3 Installed MicrosoftMPI_jll ────── v10.1.4+3 (no artifacts on this platform) Installed s2n_tls_jll ─────────── v1.7.3+0 Installed MPICH_jll ───────────── v5.0.1+0 Installed Compat ──────────────── v4.18.1 Installed dlfcn_win32_jll ─────── v1.4.2+0 (no artifacts on this platform) Installed libaec_jll ──────────── v1.1.6+0 Installed MPIABI_jll ──────────── v0.1.5+0 Installed aws_c_s3_jll ────────── v0.11.5+0 Installed mpif_jll ────────────── v0.1.7+0 Installed Xorg_libpciaccess_jll ─ v0.19.0+0 Installed Requires ────────────── v1.3.1 Installed SingleCell10x ───────── v0.2.2 Installed aws_c_io_jll ────────── v0.26.3+0 Installed OpenMPI_jll ─────────── v5.0.11+0 Installed aws_c_sdkutils_jll ──── v0.2.4+1 Installed Hwloc_jll ───────────── v2.13.0+1 Installed HDF5_jll ────────────── v2.1.2+0 Installed aws_checksums_jll ───── v0.2.10+0 Installed XML2_jll ────────────── v2.13.9+0 Installed Libiconv_jll ────────── v1.18.0+0 Installed aws_c_compression_jll ─ v0.3.2+0 Installed MPIPreferences ──────── v0.1.12 Installed aws_c_http_jll ──────── v0.10.13+0 Installed MPItrampoline_jll ───── v5.5.6+0 Installed JLLWrappers ─────────── v1.8.0 Installed aws_c_auth_jll ──────── v0.9.6+0 Installed Preferences ─────────── v1.5.2 Installed HDF5 ────────────────── v0.17.3 Installing 17 artifacts Installed artifact aws_c_common 285.2 KiB Installed artifact aws_c_sdkutils 54.9 KiB Installed artifact aws_c_cal 1.2 MiB Installed artifact Xorg_libpciaccess 26.2 KiB Installed artifact aws_c_auth 130.3 KiB Installed artifact s2n_tls 1.8 MiB Installed artifact aws_c_s3 143.0 KiB Installed artifact aws_c_io 181.7 KiB Installed artifact aws_checksums 87.0 KiB Installed artifact aws_c_http 387.4 KiB Installed artifact libaec 50.0 KiB Installed artifact HDF5 6.1 MiB Installed artifact aws_c_compression 13.4 KiB Installed artifact Hwloc 3.5 MiB Installed artifact Libiconv 1.9 MiB Installed artifact XML2 2.5 MiB Installed artifact MPICH 8.8 MiB Updating `~/.julia/environments/v1.14/Project.toml` [eddce310] + SingleCell10x v0.2.2 Updating `~/.julia/environments/v1.14/Manifest.toml` [944b1d66] + CodecZlib v0.7.8 [34da2185] + Compat v4.18.1 [8bb1440f] + DelimitedFiles v1.9.1 [f67ccb44] + HDF5 v0.17.3 [692b3bcd] + JLLWrappers v1.8.0 [3da0fdf6] + MPIPreferences v0.1.12 [21216c6a] + Preferences v1.5.2 [ae029012] + Requires v1.3.1 [eddce310] + SingleCell10x v0.2.2 [3bb67fe8] + TranscodingStreams v0.11.3 [0234f1f7] + HDF5_jll v2.1.2+0 [e33a78d0] + Hwloc_jll v2.13.0+1 [94ce4f54] + Libiconv_jll v1.18.0+0 [b5ada748] + MPIABI_jll v0.1.5+0 [7cb0a576] + MPICH_jll v5.0.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.6+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.11+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.19.0+0 ⌅ [2b3700d1] + aws_c_auth_jll v0.9.6+0 [70f11efc] + aws_c_cal_jll v0.9.13+0 [73048d1d] + aws_c_common_jll v0.12.6+0 [73a04cd5] + aws_c_compression_jll v0.3.2+0 [3254fc65] + aws_c_http_jll v0.10.13+0 [13c41daa] + aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] + aws_c_s3_jll v0.11.5+0 [1282aa60] + aws_c_sdkutils_jll v0.2.4+1 [b2a88e68] + aws_checksums_jll v0.2.10+0 [c4b69c83] + dlfcn_win32_jll v1.4.2+0 [477f73a3] + libaec_jll v1.1.6+0 [9aeb927a] + mpif_jll v0.1.7+0 [cddc5d3d] + s2n_tls_jll v1.7.3+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.5.1+0 [deac9b47] + LibCURL_jll v8.20.0+1 [e37daf67] + LibGit2_jll v1.9.3+0 [29816b5a] + LibSSH2_jll v1.11.101+0 [14a3606d] + MozillaCACerts_jll v2026.5.14 [4536629a] + OpenBLAS_jll v0.3.33+0 [458c3c95] + OpenSSL_jll v3.5.6+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 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 17.76s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling project... 5.6 s ✓ TestEnv 1 dependency successfully precompiled in 6 seconds. 27 already precompiled. Precompiling package dependencies... Precompiling project... 298.2 s ✓ InlineStrings 0.5 s ✓ Reexport 1.0 s ✓ Statistics 0.9 s ✓ DataAPI 0.5 s ✓ DataValueInterfaces 149.7 s ✓ OrderedCollections 37.4 s ✓ InvertedIndices 56.6 s ✓ TranscodingStreams 0.4 s ✓ IteratorInterfaceExtensions 40.6 s ✓ LaTeXStrings 1.8 s ✓ Crayons 1.1 s ✓ Requires 0.8 s ✓ DelimitedFiles 150.9 s ✓ SentinelArrays 1.4 s ✓ Compat 2.3 s ✓ Preferences 39.3 s ✓ Statistics → SparseArraysExt 61.8 s ✓ Missings ┌ Info: JuliaLowering threw given input: │ code = │ :(#= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:322 =# Core.@doc " map(f, x::PooledArray; pure::Bool=false)\n\nTransform `PooledArray` `x` by applying `f` to each element.\n\nIf `pure=true` then `f` is applied to each element of pool of `x`\nexactly once (even if some elements in pool are not present it `x`).\nThis will typically be much faster when the proportion of unique values\nin `x` is small.\n\nIf `pure=false`, the returned array will use the same reference type\nas `x`, or `Int` if the number of unique values in the result is too large\nto fit in that type.\n" function (Base.map(f, x::PooledArray{<:Any, R, N, RA}; pure::Bool = false)::Union{PooledArray{<:Any, R, N, RA}, PooledArray{<:Any, Int, N, typeof(similar(x.refs, Int, ntuple((i->begin │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:338 =# │ 0 │ end), ndims(x.refs))))}}) where {R, N, RA} │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:336 =# │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:339 =# │ pure && return _map_pure(f, x) │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:340 =# │ length(x) == 0 && return PooledArray([f(v) for v = x]) │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:341 =# │ v1 = f(x[1]) │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:342 =# │ invpool = Dict(v1 => one(eltype(x.refs))) │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:343 =# │ pool = [v1] │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:344 =# │ labels = similar(x.refs) │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:345 =# │ labels[1] = 1 │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:346 =# │ nlabels = 1 │ #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:347 =# │ return _map_notpure(f, x, 2, invpool, pool, labels, nlabels) │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [macrocall] │ │ @doc :: Identifier │ mod │ :(#= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:322 =#) :: Value │ │ " map(f, x::PooledArray; pure::Bool=false)\n\nTransform `PooledArray` `x` by applying `f` to each element.\n\nIf `pure=true` then `f` is applied to each element of pool of `x`\nexactly once (even if some elements in pool are not present it `x`).\nThis will typically be much faster when the proportion of unique values\nin `x` is small.\n\nIf `pure=false`, the returned array will use the same reference type\nas `x`, or `Int` if the number of unique values in the result is too large\nto fit in that type.\n" :: Value │ │ [function] │ │ [where] │ │ [::] │ │ [call] │ │ [.] │ │ Base :: Identifier │ │ [inert] │ │ map :: Identifier │ │ [parameters] │ │ [kw] │ │ [::] │ │ pure :: Identifier │ │ Bool :: Identifier │ │ false :: Value │ │ f :: Identifier │ │ [::] │ │ x :: Identifier │ │ [curly] │ │ PooledArray :: Identifier │ │ [<:] │ │ Any :: Identifier │ │ R :: Identifier │ │ N :: Identifier │ │ RA :: Identifier │ │ [curly] │ │ Union :: Identifier │ │ [curly] │ │ PooledArray :: Identifier │ │ [<:] │ │ Any :: Identifier │ │ R :: Identifier │ │ N :: Identifier │ │ RA :: Identifier │ │ [curly] │ │ PooledArray :: Identifier │ │ [<:] │ │ Any :: Identifier │ │ Int :: Identifier │ │ N :: Identifier │ │ [call] │ │ typeof :: Identifier │ │ [call] │ │ similar :: Identifier │ │ [.] │ │ x :: Identifier │ │ [inert] │ │ refs :: Identifier │ │ Int :: Identifier │ │ [call] │ │ ntuple :: Identifier │ │ [->] │ │ i :: Identifier │ │ [block] │ │ 0 :: Value │ │ [call] │ │ ndims :: Identifier │ │ [.] │ │ x :: Identifier │ │ [inert] │ │ refs :: Identifier │ │ R :: Identifier │ │ N :: Identifier │ │ RA :: Identifier │ │ [block] │ │ [&&] │ │ pure :: Identifier │ │ [return] │ │ [call] │ │ _map_pure :: Identifier │ │ f :: Identifier │ │ x :: Identifier │ │ [&&] │ │ [call] │ │ == :: Identifier │ │ [call] │ │ length :: Identifier │ │ x :: Identifier │ │ 0 :: Value │ │ [return] │ │ [call] │ │ PooledArray :: Identifier │ │ [comprehension] │ │ [generator] │ │ [call] │ │ f :: Identifier │ │ v :: Identifier │ │ [=] │ │ v :: Identifier │ │ x :: Identifier │ │ [=] │ │ v1 :: Identifier │ │ [call] │ │ f :: Identifier │ │ [ref] │ │ x :: Identifier │ │ 1 :: Value │ │ [=] │ │ invpool :: Identifier │ │ [call] │ │ Dict :: Identifier │ │ [call] │ │ => :: Identifier │ │ v1 :: Identifier │ │ [call] │ │ one :: Identifier │ │ [call] │ │ eltype :: Identifier │ │ [.] │ │ x :: Identifier │ │ [inert] │ │ refs :: Identifier │ │ [=] │ │ pool :: Identifier │ │ [vect] │ │ v1 :: Identifier │ │ [=] │ │ labels :: Identifier │ │ [call] │ │ similar :: Identifier │ │ [.] │ │ x :: Identifier │ │ [inert] │ │ refs :: Identifier │ │ [=] │ │ [ref] │ │ labels :: Identifier │ │ 1 :: Value │ │ 1 :: Value │ │ [=] │ │ nlabels :: Identifier │ │ 1 :: Value │ │ [return] │ │ [call] │ │ _map_notpure :: Identifier │ │ f :: Identifier │ │ x :: Identifier │ │ 2 :: Value │ │ invpool :: Identifier │ │ pool :: Identifier │ │ labels :: Identifier │ │ nlabels :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [block] │ │ [=] │ │ val :: Identifier │ scope_layer=3 │ [function] │ │ [where] │ │ [::] │ │ [call] │ │ [.] │ │ Base :: Identifier │ scope_layer=1 │ [inert] │ │ map :: Identifier │ │ [parameters] │ │ [kw] │ │ [::] │ │ pure :: Identifier │ scope_layer=1 │ Bool :: Identifier │ scope_layer=1 │ false :: Value │ macro_source=145 │ f :: Identifier │ scope_layer=1 │ [::] │ │ x :: Identifier │ scope_layer=1 │ [curly] │ │ PooledArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ R :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ PooledArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ R :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ [curly] │ │ PooledArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ Int :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ [call] │ │ typeof :: Identifier │ scope_layer=1 │ [call] │ │ similar :: Identifier │ scope_layer=1 │ [.] │ │ x :: Identifier │ scope_layer=1 │ [inert] │ │ refs :: Identifier │ │ Int :: Identifier │ scope_layer=1 │ [call] │ │ ntuple :: Identifier │ scope_layer=1 │ [->] │ │ i :: Identifier │ scope_layer=1 │ [block] │ macro_source=145 │ 0 :: Value │ macro_source=145 │ [call] │ │ ndims :: Identifier │ scope_layer=1 │ [.] │ │ x :: Identifier │ scope_layer=1 │ [inert] │ │ refs :: Identifier │ │ R :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ [block] │ │ [&&] │ │ pure :: Identifier │ scope_layer=1 │ [return] │ │ [call] │ │ _map_pure :: Identifier │ scope_layer=1 │ f :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ [&&] │ │ [call] │ │ == :: Identifier │ scope_layer=1 │ [call] │ │ length :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ 0 :: Value │ macro_source=145 │ [return] │ │ [call] │ │ PooledArray :: Identifier │ scope_layer=1 │ [comprehension] │ │ [generator] │ │ [call] │ │ f :: Identifier │ scope_layer=1 │ v :: Identifier │ scope_layer=1 │ [=] │ │ v :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ [=] │ │ v1 :: Identifier │ scope_layer=1 │ [call] │ │ f :: Identifier │ scope_layer=1 │ [ref] │ │ x :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=145 │ [=] │ │ invpool :: Identifier │ scope_layer=1 │ [call] │ │ Dict :: Identifier │ scope_layer=1 │ [call] │ │ => :: Identifier │ scope_layer=1 │ v1 :: Identifier │ scope_layer=1 │ [call] │ │ one :: Identifier │ scope_layer=1 │ [call] │ │ eltype :: Identifier │ scope_layer=1 │ [.] │ │ x :: Identifier │ scope_layer=1 │ [inert] │ │ refs :: Identifier │ │ [=] │ │ pool :: Identifier │ scope_layer=1 │ [vect] │ │ v1 :: Identifier │ scope_layer=1 │ [=] │ │ labels :: Identifier │ scope_layer=1 │ [call] │ │ similar :: Identifier │ scope_layer=1 │ [.] │ │ x :: Identifier │ scope_layer=1 │ [inert] │ │ refs :: Identifier │ │ [=] │ │ [ref] │ │ labels :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=145 │ 1 :: Value │ macro_source=145 │ [=] │ │ nlabels :: Identifier │ scope_layer=1 │ 1 :: Value │ macro_source=145 │ [return] │ │ [call] │ │ _map_notpure :: Identifier │ scope_layer=1 │ f :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ 2 :: Value │ macro_source=145 │ invpool :: Identifier │ scope_layer=1 │ pool :: Identifier │ scope_layer=1 │ labels :: Identifier │ scope_layer=1 │ nlabels :: Identifier │ scope_layer=1 │ [call] │ │ Base.Docs.doc! :: Value │ macro_source=145 │ PooledArrays :: Value │ macro_source=145 │ [call] │ │ Base.Docs.Binding :: Value │ macro_source=145 │ Base :: Identifier │ scope_layer=1 │ [inert] │ │ map :: Identifier │ │ [call] │ macro_source=145 │ Base.Docs.docstr :: Value │ macro_source=145 │ [call] │ macro_source=145 │ Core.svec :: Value │ macro_source=145 │ " map(f, x::PooledArray; pure::Bool=false)\n\nTransform `PooledArray` `x` by applying `f` to each element.\n\nIf `pure=true` then `f` is applied to each element of pool of `x`\nexactly once (even if some elements in pool are not present it `x`).\nThis will typically be much faster when the proportion of unique values\nin `x` is small.\n\nIf `pure=false`, the returned array will use the same reference type\nas `x`, or `Int` if the number of unique values in the result is too large\nto fit in that type.\n" :: Value │ macro_source=145 │ [call] │ macro_source=145 │ Dict{Symbol, Any} :: Value │ macro_source=145 │ :path => "/home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl" :: Value │ macro_source=145 │ :linenumber => 322 :: Value │ macro_source=145 │ :module => PooledArrays :: Value │ macro_source=145 │ [where] │ │ [where] │ │ [where] │ │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ [curly] │ │ PooledArray :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ R :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ [curly] │ │ Tuple :: Identifier │ scope_layer=1 │ R :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ RA :: Identifier │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ N :: Identifier │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ R :: Identifier │ scope_layer=1 │ Any :: Identifier │ scope_layer=1 │ val :: Identifier │ scope_layer=3 │ │ file = "/home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl" │ line = 322 └ mod = PooledArrays ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:336 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₅ (call core.TypeVar :#T1 #₁₆₉/Any)) Containing expressions:  (= #₅ (call core.TypeVar :#T1 #₁₆₉/Any))  Detailed provenance:  (= #₅ (call core.TypeVar :#T1 #₁₆₉/Any)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₅ (call core.TypeVar :#T1 #₂₅/Any)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₅ (call core.TypeVar :#T1 #₂₅/Any)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₅ (call core.TypeVar :#T1 Any)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₅ (call core.TypeVar :#T1 Any))  └─ (call core.TypeVar :#T1 Any) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: Any)  └─ (<: Any)  └─ (<: Any)  └─ (<: Any)  ├─ @ /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:336  └─ (macrocall @doc :(#= /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:322 =#) " map(f, x::PooledArray; pure::Bool=false)\n\nTransform `PooledArray` `x` by applying `f` to each element.\n\nIf `pure=true` then `f` is applied to each element of pool of `x`\nexactly once (even if some elements in pool are not present it `x`).\nThis will typically be much faster when the proportion of unique values\nin `x` is small.\n\nIf `pure=false`, the returned array will use the same reference type\nas `x`, or `Int` if the number of unique values in the result is too large\nto fit in that type.\n" (function (where (:: (call (. Base (inert map)) (parameters (kw (:: pure Bool) false)) f (:: x (curly PooledArray (<: Any) R N RA))) (curly Union (curly PooledArray (<: Any) R N RA) (curly PooledArray (<: Any) Int N (call typeof (call similar (. x (inert refs)) Int (call ntuple (-> i (block 0)) (call ndims (. x (inert refs))))))))) R N RA) (block (&& pure (return (call _map_pure f x))) (&& (call == (call length x) 0) (return (call PooledArray (comprehension (generator (call f v) (= v x)))))) (= v1 (call f (ref x 1))) (= invpool (call Dict (call => v1 (call one (call eltype (. x (inert refs))))))) (= pool (vect v1)) (= labels (call similar (. x (inert refs)))) (= (ref labels 1) 1) (= nlabels 1) (return (call _map_notpure f x 2 invpool pool labels nlabels)))))  └─ @ /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:322  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:851  [5] compile(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}, needs_value::Bool, in_tail_pos::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:712  [6] compile_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1007  [7] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1163  [8] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [9] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [10] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [11] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [12] top-level scope  @ stdin:5  [13] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [14] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [15] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [16] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [17] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/PooledArrays/Vy2X0/src/PooledArrays.jl:1 in expression starting at stdin:5 ✗ PooledArrays 178.8 s ✓ DataStructures 21.1 s ✓ CodecZlib 0.5 s ✓ TableTraits 0.6 s ✓ Compat → CompatLinearAlgebraExt 2.6 s ✓ JLLWrappers 2.7 s ✓ MPIPreferences 2.4 s ✓ PrecompileTools 38.1 s ✓ SortingAlgorithms 163.0 s ✓ Tables 3.0 s ✓ libaec_jll 3.0 s ✓ aws_c_common_jll 3.0 s ✓ Xorg_libpciaccess_jll 2.8 s ✓ Libiconv_jll 2.8 s ✓ s2n_tls_jll 2.0 s ✓ dlfcn_win32_jll 2.0 s ✓ MicrosoftMPI_jll 5.5 s ✓ MPItrampoline_jll 70.5 s ✓ StringManipulation 3.0 s ✓ aws_checksums_jll 2.9 s ✓ aws_c_sdkutils_jll 3.0 s ✓ aws_c_cal_jll 2.9 s ✓ aws_c_compression_jll 3.3 s ✓ XML2_jll 190.7 s ✓ PrettyTables 3.0 s ✓ aws_c_io_jll 2.9 s ✓ Hwloc_jll ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("2dfb63ee-cc39-5dd5-95bd-886bf059d720"), "PooledArrays") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:56  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2818  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2672  [4] macro expansion  @ ./loading.jl:2599 [inlined]  [5] string(::String, ::Union{Char, SubString{String}, String, Symbol}, ::Symbol, ::String)  @ Base ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2563  [7] require  @ ./loading.jl:2539 [inlined]  [8] eval_import_path(at::Module, from::Nothing, path::Expr, keyword::String)  @ Base ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_using(to::Module, path::Expr, flags::UInt8)  @ Base ./module.jl:137 [inlined]  [11] eval_using(to::Module, path::Expr)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/runtime.jl:207  [12] top-level scope  @ ~/.julia/packages/DataFrames/0Y1g5/src/DataFrames.jl:3  [13] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [14] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [15] top-level scope  @ stdin:5  [16] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [17] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [18] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [19] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [20] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/DataFrames/0Y1g5/src/DataFrames.jl:1 in expression starting at stdin:5 ✗ DataFrames 2.9 s ✓ aws_c_http_jll 3.1 s ✓ MPICH_jll 5.5 s ✓ OpenMPI_jll 5.8 s ✓ MPIABI_jll 3.0 s ✓ aws_c_auth_jll 5.6 s ✓ mpif_jll 2.8 s ✓ aws_c_s3_jll 3.2 s ✓ HDF5_jll ┌ Info: JuliaLowering threw given input: │ code = │ :(function write_dataset(dataset::Dataset, memtype::Datatype, x::T, xfer::DatasetTransferProperties = dataset.xfer) where T <: Union{ScalarType, Complex{<:ScalarType}} │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:576 =# │ tmp = Ref{T}(x) │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:577 =# │ API.h5d_write(dataset, memtype, API.H5S_ALL, API.H5S_ALL, xfer, tmp) │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [function] │ │ [where] │ │ [call] │ │ write_dataset :: Identifier │ │ [::] │ │ dataset :: Identifier │ │ Dataset :: Identifier │ │ [::] │ │ memtype :: Identifier │ │ Datatype :: Identifier │ │ [::] │ │ x :: Identifier │ │ T :: Identifier │ │ [kw] │ │ [::] │ │ xfer :: Identifier │ │ DatasetTransferProperties :: Identifier │ │ [.] │ │ dataset :: Identifier │ │ [inert] │ │ xfer :: Identifier │ │ [<:] │ │ T :: Identifier │ │ [curly] │ │ Union :: Identifier │ │ ScalarType :: Identifier │ │ [curly] │ │ Complex :: Identifier │ │ [<:] │ │ ScalarType :: Identifier │ │ [block] │ │ [=] │ │ tmp :: Identifier │ │ [call] │ │ [curly] │ │ Ref :: Identifier │ │ T :: Identifier │ │ x :: Identifier │ │ [call] │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ h5d_write :: Identifier │ │ dataset :: Identifier │ │ memtype :: Identifier │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ H5S_ALL :: Identifier │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ H5S_ALL :: Identifier │ │ xfer :: Identifier │ │ tmp :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [function] │ │ [where] │ │ [call] │ │ write_dataset :: Identifier │ scope_layer=1 │ [::] │ │ dataset :: Identifier │ scope_layer=1 │ Dataset :: Identifier │ scope_layer=1 │ [::] │ │ memtype :: Identifier │ scope_layer=1 │ Datatype :: Identifier │ scope_layer=1 │ [::] │ │ x :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [kw] │ │ [::] │ │ xfer :: Identifier │ scope_layer=1 │ DatasetTransferProperties :: Identifier │ scope_layer=1 │ [.] │ │ dataset :: Identifier │ scope_layer=1 │ [inert] │ │ xfer :: Identifier │ │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ ScalarType :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ ScalarType :: Identifier │ scope_layer=1 │ [block] │ │ [=] │ │ tmp :: Identifier │ scope_layer=1 │ [call] │ │ [curly] │ │ Ref :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ [call] │ │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ h5d_write :: Identifier │ │ dataset :: Identifier │ scope_layer=1 │ memtype :: Identifier │ scope_layer=1 │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ H5S_ALL :: Identifier │ │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ H5S_ALL :: Identifier │ │ xfer :: Identifier │ scope_layer=1 │ tmp :: Identifier │ scope_layer=1 │ │ file = "/home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl" │ line = 573 └ mod = HDF5 ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) Containing expressions:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType))  Detailed provenance:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₁ (call core.TypeVar :#T1 ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₁ (call core.TypeVar :#T1 ScalarType))  └─ (call core.TypeVar :#T1 ScalarType) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ @ /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [5] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [6] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [7] top-level scope  @ ~/.julia/packages/HDF5/8g5ny/src/HDF5.jl:79  [8] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [9] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [10] top-level scope  @ stdin:5  [11] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [12] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [13] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [14] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [15] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/HDF5.jl:1 in expression starting at stdin:5 ✗ HDF5 ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"), "HDF5") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:56  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2818  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2672  [4] macro expansion  @ ./loading.jl:2599 [inlined]  [5] string(::String, ::Union{Char, SubString{String}, String, Symbol}, ::Symbol, ::String)  @ Base ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2563  [7] require  @ ./loading.jl:2539 [inlined]  [8] eval_import_path(at::Module, from::Nothing, path::Expr, keyword::String)  @ Base ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_using(to::Module, path::Expr, flags::UInt8)  @ Base ./module.jl:137 [inlined]  [11] eval_using(to::Module, path::Expr)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/runtime.jl:207  [12] top-level scope  @ ~/.julia/packages/SingleCell10x/XLhW5/src/SingleCell10x.jl:11  [13] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [14] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [15] top-level scope  @ stdin:5  [16] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [17] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [18] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [19] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [20] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/SingleCell10x/XLhW5/src/SingleCell10x.jl:1 in expression starting at stdin:5 ✗ SingleCell10x 52 dependencies successfully precompiled in 1703 seconds. 37 already precompiled. Precompilation completed after 1748.27s ################################################################################ # Testing # Testing SingleCell10x Status `/tmp/jl_eqiTfs/Project.toml` [944b1d66] CodecZlib v0.7.8 [a93c6f00] DataFrames v1.8.2 [8bb1440f] DelimitedFiles v1.9.1 [f67ccb44] HDF5 v0.17.3 [eddce310] SingleCell10x v0.2.2 [37e2e46d] LinearAlgebra v1.13.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_eqiTfs/Manifest.toml` [944b1d66] CodecZlib v0.7.8 [34da2185] Compat v4.18.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.2 [864edb3b] DataStructures v0.19.4 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [f67ccb44] HDF5 v0.17.3 [842dd82b] InlineStrings v1.4.5 [41ab1584] InvertedIndices v1.3.1 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.8.0 [b964fa9f] LaTeXStrings v1.4.0 [3da0fdf6] MPIPreferences v0.1.12 [e1d29d7a] Missings v1.2.0 [bac558e1] OrderedCollections v1.8.1 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.4 [21216c6a] Preferences v1.5.2 [08abe8d2] PrettyTables v3.3.2 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [91c51154] SentinelArrays v1.4.10 [eddce310] SingleCell10x v0.2.2 [a2af1166] SortingAlgorithms v1.2.2 [10745b16] Statistics v1.11.1 [892a3eda] StringManipulation v0.4.4 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [3bb67fe8] TranscodingStreams v0.11.3 [0234f1f7] HDF5_jll v2.1.2+0 [e33a78d0] Hwloc_jll v2.13.0+1 [94ce4f54] Libiconv_jll v1.18.0+0 [b5ada748] MPIABI_jll v0.1.5+0 [7cb0a576] MPICH_jll v5.0.1+0 [f1f71cc9] MPItrampoline_jll v5.5.6+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.11+0 ⌅ [02c8fc9c] XML2_jll v2.13.9+0 [a65dc6b1] Xorg_libpciaccess_jll v0.19.0+0 ⌅ [2b3700d1] aws_c_auth_jll v0.9.6+0 [70f11efc] aws_c_cal_jll v0.9.13+0 [73048d1d] aws_c_common_jll v0.12.6+0 [73a04cd5] aws_c_compression_jll v0.3.2+0 [3254fc65] aws_c_http_jll v0.10.13+0 [13c41daa] aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] aws_c_s3_jll v0.11.5+0 [1282aa60] aws_c_sdkutils_jll v0.2.4+1 [b2a88e68] aws_checksums_jll v0.2.10+0 [c4b69c83] dlfcn_win32_jll v1.4.2+0 [477f73a3] libaec_jll v1.1.6+0 [9aeb927a] mpif_jll v0.1.7+0 [cddc5d3d] s2n_tls_jll v1.7.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates 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 v1.13.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.13.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [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 v1.5.1+0 [deac9b47] LibCURL_jll v8.20.0+1 [e37daf67] LibGit2_jll v1.9.3+0 [29816b5a] LibSSH2_jll v1.11.101+0 [14a3606d] MozillaCACerts_jll v2026.5.14 [4536629a] OpenBLAS_jll v0.3.33+0 [458c3c95] OpenSSL_jll v3.5.6+0 [efcefdf7] PCRE2_jll v10.47.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... ┌ Info: JuliaLowering threw given input: │ code = │ :(function write_dataset(dataset::Dataset, memtype::Datatype, x::T, xfer::DatasetTransferProperties = dataset.xfer) where T <: Union{ScalarType, Complex{<:ScalarType}} │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:576 =# │ tmp = Ref{T}(x) │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:577 =# │ API.h5d_write(dataset, memtype, API.H5S_ALL, API.H5S_ALL, xfer, tmp) │ end) │ st0 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ [function] │ │ [where] │ │ [call] │ │ write_dataset :: Identifier │ │ [::] │ │ dataset :: Identifier │ │ Dataset :: Identifier │ │ [::] │ │ memtype :: Identifier │ │ Datatype :: Identifier │ │ [::] │ │ x :: Identifier │ │ T :: Identifier │ │ [kw] │ │ [::] │ │ xfer :: Identifier │ │ DatasetTransferProperties :: Identifier │ │ [.] │ │ dataset :: Identifier │ │ [inert] │ │ xfer :: Identifier │ │ [<:] │ │ T :: Identifier │ │ [curly] │ │ Union :: Identifier │ │ ScalarType :: Identifier │ │ [curly] │ │ Complex :: Identifier │ │ [<:] │ │ ScalarType :: Identifier │ │ [block] │ │ [=] │ │ tmp :: Identifier │ │ [call] │ │ [curly] │ │ Ref :: Identifier │ │ T :: Identifier │ │ x :: Identifier │ │ [call] │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ h5d_write :: Identifier │ │ dataset :: Identifier │ │ memtype :: Identifier │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ H5S_ALL :: Identifier │ │ [.] │ │ API :: Identifier │ │ [inert] │ │ H5S_ALL :: Identifier │ │ xfer :: Identifier │ │ tmp :: Identifier │ │ │ st1 = │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ [function] │ │ [where] │ │ [call] │ │ write_dataset :: Identifier │ scope_layer=1 │ [::] │ │ dataset :: Identifier │ scope_layer=1 │ Dataset :: Identifier │ scope_layer=1 │ [::] │ │ memtype :: Identifier │ scope_layer=1 │ Datatype :: Identifier │ scope_layer=1 │ [::] │ │ x :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [kw] │ │ [::] │ │ xfer :: Identifier │ scope_layer=1 │ DatasetTransferProperties :: Identifier │ scope_layer=1 │ [.] │ │ dataset :: Identifier │ scope_layer=1 │ [inert] │ │ xfer :: Identifier │ │ [<:] │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ [curly] │ │ Union :: Identifier │ scope_layer=1 │ ScalarType :: Identifier │ scope_layer=1 │ [curly] │ │ Complex :: Identifier │ scope_layer=1 │ [<:] │ scope_layer=1 │ ScalarType :: Identifier │ scope_layer=1 │ [block] │ │ [=] │ │ tmp :: Identifier │ scope_layer=1 │ [call] │ │ [curly] │ │ Ref :: Identifier │ scope_layer=1 │ T :: Identifier │ scope_layer=1 │ x :: Identifier │ scope_layer=1 │ [call] │ │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ h5d_write :: Identifier │ │ dataset :: Identifier │ scope_layer=1 │ memtype :: Identifier │ scope_layer=1 │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ H5S_ALL :: Identifier │ │ [.] │ │ API :: Identifier │ scope_layer=1 │ [inert] │ │ H5S_ALL :: Identifier │ │ xfer :: Identifier │ scope_layer=1 │ tmp :: Identifier │ scope_layer=1 │ │ file = "/home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl" │ line = 573 └ mod = HDF5 ERROR: LoadError: internal lowering bug: #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue Expression:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) Containing expressions:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType))  Detailed provenance:  (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =#  └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =#  └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₁ (call core.TypeVar :#T1 ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =#  └─ (= #₁ (call core.TypeVar :#T1 ScalarType))  └─ (call core.TypeVar :#T1 ScalarType) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =#  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ (<: ScalarType)  └─ @ /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573  Stacktrace:  [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}})  @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined]  [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106  [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223  [4] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}})  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253  [5] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33  [6] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:327  [7] top-level scope  @ ~/.julia/packages/HDF5/8g5ny/src/HDF5.jl:79  [8] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [9] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [10] top-level scope  @ stdin:5  [11] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [12] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [13] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [14] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [15] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/HDF5.jl:1 in expression starting at stdin:5 ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"), "HDF5") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=1, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:56  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2818  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2672  [4] macro expansion  @ ./loading.jl:2599 [inlined]  [5] string(::String, ::Union{Char, SubString{String}, String, Symbol}, ::Symbol, ::String)  @ Base ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2563  [7] require  @ ./loading.jl:2539 [inlined]  [8] eval_import_path(at::Module, from::Nothing, path::Expr, keyword::String)  @ Base ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_using(to::Module, path::Expr, flags::UInt8)  @ Base ./module.jl:137 [inlined]  [11] eval_using(to::Module, path::Expr)  @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/runtime.jl:207  [12] top-level scope  @ ~/.julia/packages/SingleCell10x/XLhW5/src/SingleCell10x.jl:11  [13] include(mod::Module, _path::String)  @ Base ./Base.jl:326  [14] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3271  [15] top-level scope  @ stdin:5  [16] eval(m::Module, e::Any)  @ Core ./boot.jl:517  [17] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3113  [18] push!(a::Vector{SubString{String}}, item::String)  @ Base ./loading.jl:3123 [inlined]  [19] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:353  [20] _start()  @ Base ./client.jl:596 in expression starting at /home/pkgeval/.julia/packages/SingleCell10x/XLhW5/src/SingleCell10x.jl:1 in expression starting at stdin:5 2 dependencies had output during precompilation: ┌ SingleCell10x │ [Output was shown above] └ ┌ HDF5 │ ┌ Info: JuliaLowering threw given input: │ │ code = │ │ :(function write_dataset(dataset::Dataset, memtype::Datatype, x::T, xfer::DatasetTransferProperties = dataset.xfer) where T <: Union{ScalarType, Complex{<:ScalarType}} │ │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# │ │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:576 =# │ │ tmp = Ref{T}(x) │ │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:577 =# │ │ API.h5d_write(dataset, memtype, API.H5S_ALL, API.H5S_ALL, xfer, tmp) │ │ end) │ │ st0 = │ │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source,__macro_ctx__ │ │ [function] │ │ │ [where] │ │ │ [call] │ │ │ write_dataset :: Identifier │ │ │ [::] │ │ │ dataset :: Identifier │ │ │ Dataset :: Identifier │ │ │ [::] │ │ │ memtype :: Identifier │ │ │ Datatype :: Identifier │ │ │ [::] │ │ │ x :: Identifier │ │ │ T :: Identifier │ │ │ [kw] │ │ │ [::] │ │ │ xfer :: Identifier │ │ │ DatasetTransferProperties :: Identifier │ │ │ [.] │ │ │ dataset :: Identifier │ │ │ [inert] │ │ │ xfer :: Identifier │ │ │ [<:] │ │ │ T :: Identifier │ │ │ [curly] │ │ │ Union :: Identifier │ │ │ ScalarType :: Identifier │ │ │ [curly] │ │ │ Complex :: Identifier │ │ │ [<:] │ │ │ ScalarType :: Identifier │ │ │ [block] │ │ │ [=] │ │ │ tmp :: Identifier │ │ │ [call] │ │ │ [curly] │ │ │ Ref :: Identifier │ │ │ T :: Identifier │ │ │ x :: Identifier │ │ │ [call] │ │ │ [.] │ │ │ API :: Identifier │ │ │ [inert] │ │ │ h5d_write :: Identifier │ │ │ dataset :: Identifier │ │ │ memtype :: Identifier │ │ │ [.] │ │ │ API :: Identifier │ │ │ [inert] │ │ │ H5S_ALL :: Identifier │ │ │ [.] │ │ │ API :: Identifier │ │ │ [inert] │ │ │ H5S_ALL :: Identifier │ │ │ xfer :: Identifier │ │ │ tmp :: Identifier │ │ │ │ │ st1 = │ │ SyntaxTree with attributes mod,kind,var_id,toplevel_pure,scope_type,macro_source,name_val,syntax_flags,meta,scope_layer,value,jl_source,is_toplevel_thunk,source │ │ [function] │ │ │ [where] │ │ │ [call] │ │ │ write_dataset :: Identifier │ scope_layer=1 │ │ [::] │ │ │ dataset :: Identifier │ scope_layer=1 │ │ Dataset :: Identifier │ scope_layer=1 │ │ [::] │ │ │ memtype :: Identifier │ scope_layer=1 │ │ Datatype :: Identifier │ scope_layer=1 │ │ [::] │ │ │ x :: Identifier │ scope_layer=1 │ │ T :: Identifier │ scope_layer=1 │ │ [kw] │ │ │ [::] │ │ │ xfer :: Identifier │ scope_layer=1 │ │ DatasetTransferProperties :: Identifier │ scope_layer=1 │ │ [.] │ │ │ dataset :: Identifier │ scope_layer=1 │ │ [inert] │ │ │ xfer :: Identifier │ │ │ [<:] │ scope_layer=1 │ │ T :: Identifier │ scope_layer=1 │ │ [curly] │ │ │ Union :: Identifier │ scope_layer=1 │ │ ScalarType :: Identifier │ scope_layer=1 │ │ [curly] │ │ │ Complex :: Identifier │ scope_layer=1 │ │ [<:] │ scope_layer=1 │ │ ScalarType :: Identifier │ scope_layer=1 │ │ [block] │ │ │ [=] │ │ │ tmp :: Identifier │ scope_layer=1 │ │ [call] │ │ │ [curly] │ │ │ Ref :: Identifier │ scope_layer=1 │ │ T :: Identifier │ scope_layer=1 │ │ x :: Identifier │ scope_layer=1 │ │ [call] │ │ │ [.] │ │ │ API :: Identifier │ scope_layer=1 │ │ [inert] │ │ │ h5d_write :: Identifier │ │ │ dataset :: Identifier │ scope_layer=1 │ │ memtype :: Identifier │ scope_layer=1 │ │ [.] │ │ │ API :: Identifier │ scope_layer=1 │ │ [inert] │ │ │ H5S_ALL :: Identifier │ │ │ [.] │ │ │ API :: Identifier │ scope_layer=1 │ │ [inert] │ │ │ H5S_ALL :: Identifier │ │ │ xfer :: Identifier │ scope_layer=1 │ │ tmp :: Identifier │ scope_layer=1 │ │ │ │ file = "/home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl" │ │ line = 573 │ └ mod = HDF5 │ ERROR: LoadError: internal lowering bug: │ #= /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 =# - `jl_assert(!(haskey(ssa_rewrites, lhs_id)), _)`: multiple assignments to ssavalue │ Expression: │ (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) │ Containing expressions: │ (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) │ │ Detailed provenance: │ (= #₁ (call core.TypeVar :#T1 #₄₆/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:366 =# │ └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/closure_conversion.jl:197 =# │ └─ (= #₁ (call core.TypeVar :#T1 #₇/ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =# │ └─ (= #₁ (call core.TypeVar :#T1 ScalarType)) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:231 =# │ └─ (= #₁ (call core.TypeVar :#T1 ScalarType)) │ └─ (call core.TypeVar :#T1 ScalarType) @#= /source/usr/share/julia/JuliaLowering/src/desugaring.jl:3025 =# │ └─ (<: ScalarType) │ └─ (<: ScalarType) │ └─ (<: ScalarType) │ └─ (<: ScalarType) │ └─ @ /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 │ │ Stacktrace: │ [1] iterate(A::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}) │ @ Base /source/usr/share/julia/JuliaLowering/src/ast.jl:23 [inlined] │ [2] renumber_body(ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, input_code::Base.JuliaSyntax.SyntaxList{Dict{Symbol, Dict{Int64, Any}}, Vector{Int64}}, slot_rewrites::Dict{Int64, Int64}) │ @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1106 │ [3] compile_lambda(outer_ctx::Base.JuliaLowering.LinearIRContext{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}) │ @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1223 │ [4] linearize_ir(ctx::Base.JuliaLowering.ClosureConversionCtx{Dict{Symbol, Dict{Int64, Any}}}, ex::Base.JuliaSyntax.SyntaxTree{Dict{Symbol, Dict{Int64, Any}}}) │ @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/linear_ir.jl:1253 │ [5] core_lowering_hook(code::Any, mod::Module, file::String, line::UInt64, world::UInt64, _warn::Bool) │ @ Base.JuliaLowering /source/usr/share/julia/JuliaLowering/src/hooks.jl:33 │ [6] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:327 │ [7] top-level scope │ @ ~/.julia/packages/HDF5/8g5ny/src/HDF5.jl:79 │ [8] include(mod::Module, _path::String) │ @ Base ./Base.jl:326 │ [9] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) │ @ Base ./loading.jl:3271 │ [10] top-level scope │ @ stdin:5 │ [11] eval(m::Module, e::Any) │ @ Core ./boot.jl:517 │ [12] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:3113 │ [13] push!(a::Vector{SubString{String}}, item::String) │ @ Base ./loading.jl:3123 [inlined] │ [14] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:353 │ [15] _start() │ @ Base ./client.jl:596 │ in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/datasets.jl:573 │ in expression starting at /home/pkgeval/.julia/packages/HDF5/8g5ny/src/HDF5.jl:1 │ in expression starting at stdin:5 └ ERROR: LoadError: The following 2 packages failed to precompile: SingleCell10x Failed to precompile SingleCell10x [eddce310-d14b-4c2d-aa06-cfe9e2f7af98] to "/home/pkgeval/.julia/compiled/v1.14/SingleCell10x/jl_4zgvuy" (ProcessExited(1)). HDF5 Failed to precompile HDF5 [f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f] to "/home/pkgeval/.julia/compiled/v1.14/HDF5/jl_fDgDPe" (ProcessExited(1)). in expression starting at /home/pkgeval/.julia/packages/SingleCell10x/XLhW5/test/runtests.jl:1 Testing failed after 129.73s ERROR: LoadError: Package SingleCell10x errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3247 [3] Cmd(cmd::Cmd) @ Base /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3110 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [5] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [6] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [7] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [8] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [9] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 [10] include(mod::Module, _path::String) @ Base ./Base.jl:326 [11] exec_options(opts::Base.JLOptions) @ Base ./client.jl:355 [12] _start() @ Base ./client.jl:596 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval failed after 1940.34s: package fails to precompile