Package evaluation of NDTensors on Julia 1.13.0-DEV.994 (f4af91db49*) started at 2025-08-17T22:12:18.516


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 8.68s


################################################################################
# Installation
#

Installing NDTensors...
   Resolving package versions...
    Updating `~/.julia/environments/v1.13/Project.toml`
  [23ae76d9] + NDTensors v0.4.9
    Updating `~/.julia/environments/v1.13/Manifest.toml`
  [7d9f7c33] + Accessors v0.1.42
  [79e6a3ab] + Adapt v4.3.0
  [dce04be8] + ArgCheck v2.5.0
  [4fba245c] + ArrayInterface v7.19.0
  [4c555306] + ArrayLayouts v1.11.2
  [198e06fe] + BangBang v0.4.4
  [9718e550] + Baselet v0.1.1
  [8e7c35d0] + BlockArrays v1.7.0
  [f70d9fcc] + CommonWorldInvalidations v1.0.0
  [34da2185] + Compat v4.18.0
  [a33af91c] + CompositionsBase v0.1.2
  [187b0558] + ConstructionBase v1.6.0
  [9a962f9c] + DataAPI v1.16.0
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [85a47980] + Dictionaries v0.4.5
  [da5c29d0] + EllipsisNotation v1.8.0
  [e2ba6199] + ExprTools v0.1.10
  [e189563c] + ExternalDocstrings v0.1.1
  [1a297f60] + FillArrays v1.13.0
  [41a02a25] + Folds v0.2.10
  [d9f16b24] + Functors v0.5.2
  [f0d1745a] + HalfIntegers v1.6.0
  [615f187c] + IfElse v0.1.1
  [313cdc1a] + Indexing v1.1.1
  [22cec73e] + InitialValues v0.3.1
  [842dd82b] + InlineStrings v1.4.4
  [3587e190] + InverseFunctions v0.1.17
  [82899510] + IteratorInterfaceExtensions v1.0.0
  [1914dd2f] + MacroTools v0.5.16
  [128add7d] + MicroCollections v0.2.0
  [23ae76d9] + NDTensors v0.4.9
  [bac558e1] + OrderedCollections v1.8.1
  [65ce6f38] + PackageExtensionCompat v1.0.2
  [aea7be01] + PrecompileTools v1.3.2
  [21216c6a] + Preferences v1.5.0
  [42d2dcc6] + Referenceables v0.1.3
  [ae029012] + Requires v1.3.1
  [efcf1570] + Setfield v1.1.2
  [699a6c99] + SimpleTraits v0.9.5
  [03a91e81] + SplitApplyCombine v1.2.3
  [171d559e] + SplittablesBase v0.1.15
  [aedffcd0] + Static v1.2.0
  [0d7ed370] + StaticArrayInterface v1.8.0
  [90137ffa] + StaticArrays v1.9.14
  [1e83bf80] + StaticArraysCore v1.4.3
  [5e0ebb24] + Strided v2.3.2
  [4db3bf67] + StridedViews v0.4.1
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [24d252fe] + ThreadedScans v0.1.0
  [a759f4b9] + TimerOutputs v0.5.29
  [28d57a85] + Transducers v0.4.84
  [9d95972d] + TupleTools v1.6.0
⌅ [7e5a90cf] + TypeParameterAccessors v0.3.10
  [409d34a3] + VectorInterface v0.5.0
  [56f22d72] + Artifacts v1.11.0
  [2a0f44e3] + Base64 v1.11.0
  [ade2ca70] + Dates v1.11.0
  [8ba89e20] + Distributed v1.11.0
  [9fa8497b] + Future v1.11.0
  [b77e0a4c] + InteractiveUtils v1.11.0
  [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0
  [8f399da3] + Libdl v1.11.0
  [37e2e46d] + LinearAlgebra v1.13.0
  [56ddb016] + Logging v1.11.0
  [d6f4376e] + Markdown v1.11.0
  [de0858da] + Printf v1.11.0
  [9a3f8284] + Random v1.11.0
  [ea8e919c] + SHA v0.7.0
  [9e88b42a] + Serialization v1.11.0
  [6462fe0b] + Sockets v1.11.0
  [2f01184e] + SparseArrays v1.13.0
  [f489334b] + StyledStrings v1.11.0
  [fa267f1f] + TOML v1.0.3
  [8dfed614] + Test v1.11.0
  [cf7118a7] + UUIDs v1.11.0
  [4ec0a83e] + Unicode v1.11.0
  [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [8e850b90] + libblastrampoline_jll v5.13.1+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 3.7s


################################################################################
# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...
ERROR: LoadError: The following 4 direct dependencies failed to precompile:

Octavian 

Failed to precompile Octavian [6fd5a793-0b7e-452c-907f-f8bfe9c57db4] to "/home/pkgeval/.julia/compiled/v1.13/Octavian/jl_gJJ2RF" (ProcessExited(1)).
ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
  [1] getproperty
    @ ./Base_compiler.jl:50 [inlined]
  [2] recompile_invalidations(__module__::Module, expr::Any)
    @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
  [3] top-level scope
    @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
  [9] include_string
    @ ./loading.jl:2873 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [11] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_aGVAQ2" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)
    @ Base ./module.jl:111
 [20] top-level scope
    @ ~/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:6
 [21] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [23] top-level scope
    @ stdin:5
 [24] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [25] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [26] include_string
    @ ./loading.jl:2873 [inlined]
 [27] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [28] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile VectorizationBase [3d5dd08c-fd9d-11e8-17fa-ed2836048c2f] to "/home/pkgeval/.julia/compiled/v1.13/VectorizationBase/jl_hS7Cyj" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/Octavian/4f4xi/src/Octavian.jl:3
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/src/Octavian.jl:1
in expression starting at stdin:5
EllipsisNotation 

Failed to precompile EllipsisNotation [da5c29d0-fa7d-589e-88eb-ea29b0a81949] to "/home/pkgeval/.julia/compiled/v1.13/EllipsisNotation/jl_5k1Ppc" (ProcessExited(1)).
ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
  [1] getproperty
    @ ./Base_compiler.jl:50 [inlined]
  [2] recompile_invalidations(__module__::Module, expr::Any)
    @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
  [3] top-level scope
    @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
  [9] include_string
    @ ./loading.jl:2873 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [11] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_KhFxD2" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:5
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:3
in expression starting at stdin:5

NDTensorsOctavianExt 

Failed to precompile NDTensorsOctavianExt [8476096c-a533-58b7-8ba4-cf175432e973] to "/home/pkgeval/.julia/compiled/v1.13/NDTensorsOctavianExt/jl_HWXkmY" (ProcessExited(1)).
ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
  [1] getproperty
    @ ./Base_compiler.jl:50 [inlined]
  [2] recompile_invalidations(__module__::Module, expr::Any)
    @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
  [3] top-level scope
    @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
  [9] include_string
    @ ./loading.jl:2873 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [11] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_RxTLeP" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)
    @ Base ./module.jl:111
 [20] top-level scope
    @ ~/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:6
 [21] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [23] top-level scope
    @ stdin:5
 [24] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [25] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [26] include_string
    @ ./loading.jl:2873 [inlined]
 [27] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [28] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile VectorizationBase [3d5dd08c-fd9d-11e8-17fa-ed2836048c2f] to "/home/pkgeval/.julia/compiled/v1.13/VectorizationBase/jl_LYcRTg" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/Octavian/4f4xi/src/Octavian.jl:3
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/src/Octavian.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile Octavian [6fd5a793-0b7e-452c-907f-f8bfe9c57db4] to "/home/pkgeval/.julia/compiled/v1.13/Octavian/jl_fJmht5" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/NDTensors/Lb78J/ext/NDTensorsOctavianExt/NDTensorsOctavianExt.jl:4
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/NDTensors/Lb78J/ext/NDTensorsOctavianExt/NDTensorsOctavianExt.jl:1
in expression starting at stdin:5

ForwardDiffExt 

Failed to precompile ForwardDiffExt [a944ce4c-21c9-5cba-ad06-a0b2649de6d3] to "/home/pkgeval/.julia/compiled/v1.13/ForwardDiffExt/jl_xM68lD" (ProcessExited(1)).
ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
  [1] getproperty
    @ ./Base_compiler.jl:50 [inlined]
  [2] recompile_invalidations(__module__::Module, expr::Any)
    @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
  [3] top-level scope
    @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
  [9] include_string
    @ ./loading.jl:2873 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [11] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_QUWMhi" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)
    @ Base ./module.jl:111
 [20] top-level scope
    @ ~/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:6
 [21] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [23] top-level scope
    @ stdin:5
 [24] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [25] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [26] include_string
    @ ./loading.jl:2873 [inlined]
 [27] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [28] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile VectorizationBase [3d5dd08c-fd9d-11e8-17fa-ed2836048c2f] to "/home/pkgeval/.julia/compiled/v1.13/VectorizationBase/jl_GWguXD" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/Octavian/4f4xi/src/Octavian.jl:3
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/src/Octavian.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile Octavian [6fd5a793-0b7e-452c-907f-f8bfe9c57db4] to "/home/pkgeval/.julia/compiled/v1.13/Octavian/jl_4wtpv9" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})
    @ Base ./module.jl:101
 [21] top-level scope
    @ ~/.julia/packages/Octavian/4f4xi/ext/ForwardDiffExt.jl:5
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/ext/ForwardDiffExt.jl:1
in expression starting at stdin:5
in expression starting at /PkgEval.jl/scripts/precompile.jl:37

Precompilation failed after 210.47s



################################################################################
# Testing
#

     Testing NDTensors
      Status `/tmp/jl_sfU4zt/Project.toml`
  [79e6a3ab] Adapt v4.3.0
  [4c555306] ArrayLayouts v1.11.2
  [8e7c35d0] BlockArrays v1.7.0
  [861a8166] Combinatorics v1.0.3
  [85a47980] Dictionaries v0.4.5
  [da5c29d0] EllipsisNotation v1.8.0
  [1a297f60] FillArrays v1.13.0
  [46192b85] GPUArraysCore v0.2.0
  [27aeb0d3] JLArrays v0.2.0
  [dbb5928d] MappedArrays v0.4.2
  [23ae76d9] NDTensors v0.4.9
  [6fd5a793] Octavian v0.3.29
  [1bc83da4] SafeTestsets v0.1.0
  [860ef19b] StableRNGs v1.0.3
  [4db3bf67] StridedViews v0.4.1
  [6aa20fa7] TensorOperations v5.3.0
⌅ [7e5a90cf] TypeParameterAccessors v0.3.10
  [e88e6eb3] Zygote v0.7.10
  [37e2e46d] LinearAlgebra v1.13.0
  [44cfe95a] Pkg v1.13.0
  [9a3f8284] Random v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_sfU4zt/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [dce04be8] ArgCheck v2.5.0
  [4fba245c] ArrayInterface v7.19.0
  [4c555306] ArrayLayouts v1.11.2
  [a9b6321e] Atomix v1.1.2
  [198e06fe] BangBang v0.4.4
  [9718e550] Baselet v0.1.1
  [62783981] BitTwiddlingConvenienceFunctions v0.1.6
  [8e7c35d0] BlockArrays v1.7.0
  [fa961155] CEnum v0.5.0
  [2a0fbf3d] CPUSummary v0.2.7
  [082447d4] ChainRules v1.72.5
  [d360d2e6] ChainRulesCore v1.26.0
  [fb6a15b2] CloseOpenIntervals v0.1.13
  [861a8166] Combinatorics v1.0.3
  [bbf7d656] CommonSubexpressions v0.3.1
  [f70d9fcc] CommonWorldInvalidations v1.0.0
  [34da2185] Compat v4.18.0
  [a33af91c] CompositionsBase v0.1.2
  [187b0558] ConstructionBase v1.6.0
  [adafc99b] CpuId v0.3.1
  [9a962f9c] DataAPI v1.16.0
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [85a47980] Dictionaries v0.4.5
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [ffbed154] DocStringExtensions v0.9.5
  [da5c29d0] EllipsisNotation v1.8.0
  [e2ba6199] ExprTools v0.1.10
  [e189563c] ExternalDocstrings v0.1.1
  [1a297f60] FillArrays v1.13.0
  [41a02a25] Folds v0.2.10
  [f6369f11] ForwardDiff v1.0.1
  [d9f16b24] Functors v0.5.2
  [0c68f7d7] GPUArrays v11.2.3
  [46192b85] GPUArraysCore v0.2.0
  [f0d1745a] HalfIntegers v1.6.0
  [076d061b] HashArrayMappedTries v0.2.0
  [3e5b6fbb] HostCPUFeatures v0.1.17
  [7869d1d1] IRTools v0.4.15
  [615f187c] IfElse v0.1.1
  [313cdc1a] Indexing v1.1.1
  [22cec73e] InitialValues v0.3.1
  [842dd82b] InlineStrings v1.4.4
  [3587e190] InverseFunctions v0.1.17
  [92d709cd] IrrationalConstants v0.2.4
  [82899510] IteratorInterfaceExtensions v1.0.0
  [27aeb0d3] JLArrays v0.2.0
  [692b3bcd] JLLWrappers v1.7.1
  [63c18a36] KernelAbstractions v0.9.38
  [929cbde3] LLVM v9.4.2
  [8ac3fa9e] LRUCache v1.6.2
  [10f19ff3] LayoutPointers v0.1.17
  [2ab3a3ac] LogExpFunctions v0.3.29
  [bdcacae8] LoopVectorization v0.12.172
  [1914dd2f] MacroTools v0.5.16
  [d125e4d3] ManualMemory v0.1.8
  [dbb5928d] MappedArrays v0.4.2
  [128add7d] MicroCollections v0.2.0
  [23ae76d9] NDTensors v0.4.9
  [77ba4419] NaNMath v1.1.3
  [6fd5a793] Octavian v0.3.29
  [6fe1bfb0] OffsetArrays v1.17.0
  [bac558e1] OrderedCollections v1.8.1
  [65ce6f38] PackageExtensionCompat v1.0.2
  [1d0040c9] PolyesterWeave v0.2.2
  [aea7be01] PrecompileTools v1.3.2
  [21216c6a] Preferences v1.5.0
  [43287f4e] PtrArrays v1.3.0
  [c1ae055f] RealDot v0.1.0
  [189a3867] Reexport v1.2.2
  [42d2dcc6] Referenceables v0.1.3
  [ae029012] Requires v1.3.1
  [94e857df] SIMDTypes v0.1.0
  [476501e8] SLEEFPirates v0.6.43
  [1bc83da4] SafeTestsets v0.1.0
  [7e506255] ScopedValues v1.4.0
  [efcf1570] Setfield v1.1.2
  [699a6c99] SimpleTraits v0.9.5
  [dc90abb0] SparseInverseSubset v0.1.2
  [276daf66] SpecialFunctions v2.5.1
  [03a91e81] SplitApplyCombine v1.2.3
  [171d559e] SplittablesBase v0.1.15
  [860ef19b] StableRNGs v1.0.3
  [aedffcd0] Static v1.2.0
  [0d7ed370] StaticArrayInterface v1.8.0
  [90137ffa] StaticArrays v1.9.14
  [1e83bf80] StaticArraysCore v1.4.3
  [10745b16] Statistics v1.11.1
  [5e0ebb24] Strided v2.3.2
  [4db3bf67] StridedViews v0.4.1
  [09ab397b] StructArrays v0.7.1
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.1
  [6aa20fa7] TensorOperations v5.3.0
  [24d252fe] ThreadedScans v0.1.0
  [8290d209] ThreadingUtilities v0.5.5
  [a759f4b9] TimerOutputs v0.5.29
  [28d57a85] Transducers v0.4.84
  [9d95972d] TupleTools v1.6.0
⌅ [7e5a90cf] TypeParameterAccessors v0.3.10
  [3a884ed6] UnPack v1.0.2
  [013be700] UnsafeAtomics v0.3.0
  [409d34a3] VectorInterface v0.5.0
  [3d5dd08c] VectorizationBase v0.21.71
  [e88e6eb3] Zygote v0.7.10
  [700de1a5] ZygoteRules v0.2.7
  [dad2f222] LLVMExtra_jll v0.0.37+2
  [efe28fd5] OpenSpecFun_jll v0.5.6+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 v1.13.0
  [56ddb016] Logging v1.11.0
  [d6f4376e] Markdown v1.11.0
  [ca575930] NetworkOptions v1.3.0
  [44cfe95a] Pkg v1.13.0
  [de0858da] Printf v1.11.0
  [9a3f8284] Random v1.11.0
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization v1.11.0
  [6462fe0b] Sockets v1.11.0
  [2f01184e] SparseArrays v1.13.0
  [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 v8.15.0+1
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.8.12
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.2+0
  [efcefdf7] PCRE2_jll v10.45.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [3161d3a3] Zstd_jll v1.5.7+1
  [8e850b90] libblastrampoline_jll v5.13.1+0
  [8e850ede] nghttp2_jll v1.65.0+0
  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading.
     Testing Running tests...
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl
Precompiling packages...
              ✗ Static
   4596.1 ms  ✓ BlockArrays
              ✗ StaticArrayInterface
   2922.4 ms  ✓ BlockArrays → BlockArraysAdaptExt
   6214.7 ms  ✓ Transducers → TransducersBlockArraysExt
              ✗ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt
              ✗ EllipsisNotation
   4808.4 ms  ✓ NDTensors → NDTensorsGPUArraysCoreExt
  4 dependencies successfully precompiled in 40 seconds. 92 already precompiled.

┌ Error: Error during loading of extension NDTensorsGPUArraysCoreExt of NDTensors, use `Base.retry_load_extensions()` to retry.
│   exception =
│    1-element ExceptionStack:
│    The following 1 direct dependency failed to precompile:
│    
│    EllipsisNotation 
│    
│    Failed to precompile EllipsisNotation [da5c29d0-fa7d-589e-88eb-ea29b0a81949] to "/home/pkgeval/.julia/compiled/v1.13/EllipsisNotation/jl_nWd5Vf" (ProcessExited(1)).
│    ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
│    Suggestion: check for spelling errors or missing imports.
│    Stacktrace:
│      [1] getproperty
│        @ ./Base_compiler.jl:50 [inlined]
│      [2] recompile_invalidations(__module__::Module, expr::Any)
│        @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
│      [3] top-level scope
│        @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
│      [4] include(mod::Module, _path::String)
│        @ Base ./Base.jl:308
│      [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
│        @ Base ./loading.jl:3017
│      [6] top-level scope
│        @ stdin:5
│      [7] eval(m::Module, e::Any)
│        @ Core ./boot.jl:489
│      [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
│        @ Base ./loading.jl:2863
│      [9] include_string
│        @ ./loading.jl:2873 [inlined]
│     [10] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:328
│     [11] _start()
│        @ Base ./client.jl:563
│    in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
│    in expression starting at stdin:5
│    ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_GutJRs" (ProcessExited(1)).
│    Stacktrace:
│      [1] error(s::String)
│        @ Base ./error.jl:44
│      [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
│        @ Base ./loading.jl:3304
│      [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
│        @ Base ./loading.jl:3182
│      [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
│        @ Base ./loading.jl:2669
│      [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
│        @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
│      [6] #mkpidlock#7
│        @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
│      [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
│        @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
│      [8] #invokelatest_gr#233
│        @ ./reflection.jl:1333 [inlined]
│      [9] invokelatest_gr
│        @ ./reflection.jl:1325 [inlined]
│     [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
│        @ Base ./loading.jl:3875
│     [11] maybe_cachefile_lock
│        @ ./loading.jl:3872 [inlined]
│     [12] __require_prelocked(pkg::Base.PkgId, env::String)
│        @ Base ./loading.jl:2655
│     [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:2484
│     [14] macro expansion
│        @ ./loading.jl:2412 [inlined]
│     [15] macro expansion
│        @ ./lock.jl:376 [inlined]
│     [16] __require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:2376
│     [17] require
│        @ ./loading.jl:2352 [inlined]
│     [18] eval_import_path
│        @ ./module.jl:36 [inlined]
│     [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
│        @ Base ./module.jl:60
│     [20] _eval_using(to::Module, path::Expr)
│        @ Base ./module.jl:137
│     [21] top-level scope
│        @ ~/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:5
│     [22] include(mod::Module, _path::String)
│        @ Base ./Base.jl:308
│     [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
│     [24] top-level scope
│        @ stdin:5
│     [25] eval(m::Module, e::Any)
│        @ Core ./boot.jl:489
│     [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
│        @ Base ./loading.jl:2863
│     [27] include_string
│        @ ./loading.jl:2873 [inlined]
│     [28] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:328
│     [29] _start()
│        @ Base ./client.jl:563
│    in expression starting at /home/pkgeval/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:3
│    in expression starting at stdin:
└ @ Base loading.jl:1591
Precompiling packages...
Info Given JLArrays was explicitly requested, output will be shown live 
WARNING: Constructor for type "BroadcastStyle" was extended in `JLArrays` without explicit qualification or import.
  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions.
  NOTE: This behavior may have differed in Julia versions prior to 1.12.
  Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`.
  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`.
   8733.7 ms  ✓ JLArrays
  1 dependency successfully precompiled in 9 seconds. 54 already precompiled.
  1 dependency had output during precompilation:
┌ JLArrays
│  [Output was shown above]
└  
Precompiling packages...
   6098.3 ms  ✓ TypeParameterAccessors → TypeParameterAccessorsJLArraysExt
  1 dependency successfully precompiled in 6 seconds. 57 already precompiled.
Precompiling packages...
              ✗ Static
              ✗ StaticArrayInterface
              ✗ StaticArrayInterface → StaticArrayInterfaceStaticArraysExt
              ✗ EllipsisNotation
   9098.3 ms  ✓ NDTensors → NDTensorsJLArraysExt
  1 dependency successfully precompiled in 29 seconds. 134 already precompiled.

┌ Error: Error during loading of extension NDTensorsJLArraysExt of NDTensors, use `Base.retry_load_extensions()` to retry.
│   exception =
│    1-element ExceptionStack:
│    The following 1 direct dependency failed to precompile:
│    
│    EllipsisNotation 
│    
│    Failed to precompile EllipsisNotation [da5c29d0-fa7d-589e-88eb-ea29b0a81949] to "/home/pkgeval/.julia/compiled/v1.13/EllipsisNotation/jl_n7fiDt" (ProcessExited(1)).
│    ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
│    Suggestion: check for spelling errors or missing imports.
│    Stacktrace:
│      [1] getproperty
│        @ ./Base_compiler.jl:50 [inlined]
│      [2] recompile_invalidations(__module__::Module, expr::Any)
│        @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
│      [3] top-level scope
│        @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
│      [4] include(mod::Module, _path::String)
│        @ Base ./Base.jl:308
│      [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
│        @ Base ./loading.jl:3017
│      [6] top-level scope
│        @ stdin:5
│      [7] eval(m::Module, e::Any)
│        @ Core ./boot.jl:489
│      [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
│        @ Base ./loading.jl:2863
│      [9] include_string
│        @ ./loading.jl:2873 [inlined]
│     [10] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:328
│     [11] _start()
│        @ Base ./client.jl:563
│    in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
│    in expression starting at stdin:5
│    ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_p04UYY" (ProcessExited(1)).
│    Stacktrace:
│      [1] error(s::String)
│        @ Base ./error.jl:44
│      [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
│        @ Base ./loading.jl:3304
│      [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
│        @ Base ./loading.jl:3182
│      [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
│        @ Base ./loading.jl:2669
│      [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
│        @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
│      [6] #mkpidlock#7
│        @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
│      [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
│        @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
│      [8] #invokelatest_gr#233
│        @ ./reflection.jl:1333 [inlined]
│      [9] invokelatest_gr
│        @ ./reflection.jl:1325 [inlined]
│     [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
│        @ Base ./loading.jl:3875
│     [11] maybe_cachefile_lock
│        @ ./loading.jl:3872 [inlined]
│     [12] __require_prelocked(pkg::Base.PkgId, env::String)
│        @ Base ./loading.jl:2655
│     [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:2484
│     [14] macro expansion
│        @ ./loading.jl:2412 [inlined]
│     [15] macro expansion
│        @ ./lock.jl:376 [inlined]
│     [16] __require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:2376
│     [17] require
│        @ ./loading.jl:2352 [inlined]
│     [18] eval_import_path
│        @ ./module.jl:36 [inlined]
│     [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
│        @ Base ./module.jl:60
│     [20] _eval_using(to::Module, path::Expr)
│        @ Base ./module.jl:137
│     [21] top-level scope
│        @ ~/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:5
│     [22] include(mod::Module, _path::String)
│        @ Base ./Base.jl:308
│     [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
│     [24] top-level scope
│        @ stdin:5
│     [25] eval(m::Module, e::Any)
│        @ Core ./boot.jl:489
│     [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
│        @ Base ./loading.jl:2863
│     [27] include_string
│        @ ./loading.jl:2873 [inlined]
│     [28] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:328
│     [29] _start()
│        @ Base ./client.jl:563
│    in expression starting at /home/pkgeval/.julia/packages/EllipsisNotation/duIu5/src/EllipsisNotation.jl:3
│    in expression starting at stdin:
└ @ Base loading.jl:1591

test device: jl, eltype: Float32: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:32
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:113 [inlined]
    [7] diag(ETensor::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 1}, NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:368
    [8] diag(tensor::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensor/tensor.jl:418
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:32 [inlined]
   [12] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [13] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:57 [inlined]
   [14] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [16] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [17] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [26] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [27] top-level scope
      @ none:6
   [28] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [29] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [30] _start()
      @ Base ./client.jl:563

test device: jl, eltype: Float64: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:32
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:113 [inlined]
    [7] diag(ETensor::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 1}, NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:368
    [8] diag(tensor::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensor/tensor.jl:418
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:32 [inlined]
   [12] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [13] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:57 [inlined]
   [14] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [16] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [17] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [26] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [27] top-level scope
      @ none:6
   [28] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [29] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [30] _start()
      @ Base ./client.jl:563

svd example 1: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:293
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float32, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float32, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:294 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:296 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 2: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:301
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float32, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float32, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:302 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:304 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 3: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:309
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float32, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float32, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float32, 2}, B::JLArrays.JLArray{Float32, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float32, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:310 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:312 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 4: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:317
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] chkuplofinite(A::JLArrays.JLArray{Float32, 2}, uplo::Char)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:117
   [10] syevr!(jobz::Char, range::Char, uplo::Char, A::JLArrays.JLArray{Float32, 2}, vl::Float64, vu::Float64, il::Int64, iu::Int64, abstol::Float64)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:5393
   [11] #eigen!#253
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:24 [inlined]
   [12] eigen!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:18 [inlined]
   [13] #_eigen#255
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:61 [inlined]
   [14] _eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:59 [inlined]
   [15] #eigen#254
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:55 [inlined]
   [16] eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:54 [inlined]
   [17] eigen
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:24 [inlined]
   [18] svd_recursive(M::JLArrays.JLArray{Float32, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:40
   [19] svd_recursive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [20] svd(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [21] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [22] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [23] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [24] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:318 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:320 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [35] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [36] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [41] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [42] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [43] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [44] top-level scope
      @ none:6
   [45] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [46] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [47] _start()
      @ Base ./client.jl:563

svd example 5: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:325
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] chkuplofinite(A::JLArrays.JLArray{Float32, 2}, uplo::Char)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:117
   [10] syevr!(jobz::Char, range::Char, uplo::Char, A::JLArrays.JLArray{Float32, 2}, vl::Float64, vu::Float64, il::Int64, iu::Int64, abstol::Float64)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:5393
   [11] #eigen!#253
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:24 [inlined]
   [12] eigen!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:18 [inlined]
   [13] #_eigen#255
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:61 [inlined]
   [14] _eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:59 [inlined]
   [15] #eigen#254
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:55 [inlined]
   [16] eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:54 [inlined]
   [17] eigen
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:24 [inlined]
   [18] svd_recursive(M::LinearAlgebra.Transpose{Float32, JLArrays.JLArray{Float32, 2}}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:40
   [19] svd_recursive(M::LinearAlgebra.Transpose{Float32, JLArrays.JLArray{Float32, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [20] svd_recursive(M::JLArrays.JLArray{Float32, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:32
   [21] svd_recursive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float32, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:326 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:328 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 1: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:293
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float64, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float64, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:294 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:296 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 2: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:301
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float64, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float64, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:302 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:304 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 3: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:309
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float64, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, ::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:519
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.SYRK})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] svd_recursive(M::JLArrays.JLArray{Float64, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:39
   [21] svd_recursive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:310 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:312 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563

svd example 4: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:317
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] chkuplofinite(A::JLArrays.JLArray{Float64, 2}, uplo::Char)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:117
   [10] syevr!(jobz::Char, range::Char, uplo::Char, A::JLArrays.JLArray{Float64, 2}, vl::Float64, vu::Float64, il::Int64, iu::Int64, abstol::Float64)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:5393
   [11] #eigen!#253
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:24 [inlined]
   [12] eigen!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:18 [inlined]
   [13] #_eigen#255
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:61 [inlined]
   [14] _eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:59 [inlined]
   [15] #eigen#254
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:55 [inlined]
   [16] eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:54 [inlined]
   [17] eigen
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:24 [inlined]
   [18] svd_recursive(M::JLArrays.JLArray{Float64, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:40
   [19] svd_recursive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [20] svd(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [21] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [22] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [23] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [24] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:318 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:320 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [35] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [36] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [41] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [42] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [43] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [44] top-level scope
      @ none:6
   [45] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [46] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [47] _start()
      @ Base ./client.jl:563

svd example 5: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:325
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] chkuplofinite(A::JLArrays.JLArray{Float64, 2}, uplo::Char)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:117
   [10] syevr!(jobz::Char, range::Char, uplo::Char, A::JLArrays.JLArray{Float64, 2}, vl::Float64, vu::Float64, il::Int64, iu::Int64, abstol::Float64)
      @ LinearAlgebra.LAPACK /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/lapack.jl:5393
   [11] #eigen!#253
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:24 [inlined]
   [12] eigen!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:18 [inlined]
   [13] #_eigen#255
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:61 [inlined]
   [14] _eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:59 [inlined]
   [15] #eigen#254
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:55 [inlined]
   [16] eigen
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/symmetriceigen.jl:54 [inlined]
   [17] eigen
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:24 [inlined]
   [18] svd_recursive(M::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:40
   [19] svd_recursive(M::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [20] svd_recursive(M::JLArrays.JLArray{Float64, 2}; thresh::Float64, north_pass::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:32
   [21] svd_recursive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/svd.jl:29
   [22] svd(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; mindim::Nothing, maxdim::Nothing, cutoff::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing, alg::Nothing, min_blockdim::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:108
   [23] svd
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:87 [inlined]
   [24] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}; min_blockdim::Nothing, mindim::Nothing, maxdim::Nothing, cutoff::Nothing, alg::Nothing, use_absolute_cutoff::Nothing, use_relative_cutoff::Nothing)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:58
   [25] svd(T::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/linearalgebra.jl:39
   [26] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:30
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:287 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:326 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [32] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:328 [inlined]
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl

BlockSparse * Combiner: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] _permutedims!(P::PermutedDimsArray{Float64, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float64, 3}, R1::CartesianIndices{0, Tuple{}}, R2::CartesianIndices{0, Tuple{}}, R3::CartesianIndices{1, Tuple{Base.OneTo{Int64}}}, ds::Int64, dp::Int64)
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:322
   [10] _copy!(P::PermutedDimsArray{Float64, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float64, 3})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:311
   [11] permutedims!(dest::Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, src::JLArrays.JLArray{Float64, 3}, perm::Tuple{Int64, Int64, Int64})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:287
   [12] permutedims!(Edest::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 2}, Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, Esrc::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 3}, JLArrays.JLArray{Float64, 3}}, perm::Tuple{Int64, Int64, Int64})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/permutedims.jl:6
   [13] permutedims_combine(T::NDTensors.BlockSparseTensor{Float64, 3, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 3}}, is::Tuple{Vector{Int64}, Vector{Int64}}, perm::Tuple{Int64, Int64, Int64}, combdims::Tuple{Int64, Int64}, blockperm::Vector{Int64}, blockcomb::Vector{Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:600
   [14] contract(tensor::NDTensors.BlockSparseTensor{Float64, 3, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 3}}, tensor_labels::Tuple{Int64, Int64, Int64}, combiner_tensor::NDTensors.Tensor{Number, 3, NDTensors.Combiner, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}}, combiner_tensor_labels::Tuple{Int64, Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/combiner.jl:72
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:94 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:1
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [32] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [33] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [34] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [35] top-level scope
      @ none:6
   [36] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [37] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [38] _start()
      @ Base ./client.jl:563

BlockSparse * Combiner: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] _permutedims!(P::PermutedDimsArray{Float64, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float64, 3}, R1::CartesianIndices{0, Tuple{}}, R2::CartesianIndices{0, Tuple{}}, R3::CartesianIndices{1, Tuple{Base.OneTo{Int64}}}, ds::Int64, dp::Int64)
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:322
   [10] _copy!(P::PermutedDimsArray{Float64, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float64, 3})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:311
   [11] permutedims!(dest::Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, src::JLArrays.JLArray{Float64, 3}, perm::Tuple{Int64, Int64, Int64})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:287
   [12] permutedims!(Edest::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 2}, Base.ReshapedArray{Float64, 3, SubArray{Float64, 2, JLArrays.JLArray{Float64, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, Esrc::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 3}, JLArrays.JLArray{Float64, 3}}, perm::Tuple{Int64, Int64, Int64})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/permutedims.jl:6
   [13] permutedims_combine(T::NDTensors.BlockSparseTensor{Float64, 3, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 3}}, is::Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, perm::Tuple{Int64, Int64, Int64}, combdims::Tuple{Int64, Int64}, blockperm::Vector{Int64}, blockcomb::Vector{Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:600
   [14] contract(tensor::NDTensors.BlockSparseTensor{Float64, 3, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 3}}, tensor_labels::Tuple{Int64, Int64, Int64}, combiner_tensor::NDTensors.Tensor{Number, 3, NDTensors.Combiner, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}}, combiner_tensor_labels::Tuple{Int64, Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/combiner.jl:72
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:94 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:1
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [32] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [33] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [34] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [35] top-level scope
      @ none:6
   [36] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [37] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [38] _start()
      @ Base ./client.jl:563

BlockSparse * Combiner: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] _permutedims!(P::PermutedDimsArray{Float32, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float32, 3}, R1::CartesianIndices{0, Tuple{}}, R2::CartesianIndices{0, Tuple{}}, R3::CartesianIndices{1, Tuple{Base.OneTo{Int64}}}, ds::Int64, dp::Int64)
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:322
   [10] _copy!(P::PermutedDimsArray{Float32, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float32, 3})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:311
   [11] permutedims!(dest::Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, src::JLArrays.JLArray{Float32, 3}, perm::Tuple{Int64, Int64, Int64})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:287
   [12] permutedims!(Edest::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 2}, Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, Esrc::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 3}, JLArrays.JLArray{Float32, 3}}, perm::Tuple{Int64, Int64, Int64})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/permutedims.jl:6
   [13] permutedims_combine(T::NDTensors.BlockSparseTensor{Float32, 3, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 3}}, is::Tuple{Vector{Int64}, Vector{Int64}}, perm::Tuple{Int64, Int64, Int64}, combdims::Tuple{Int64, Int64}, blockperm::Vector{Int64}, blockcomb::Vector{Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:600
   [14] contract(tensor::NDTensors.BlockSparseTensor{Float32, 3, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 3}}, tensor_labels::Tuple{Int64, Int64, Int64}, combiner_tensor::NDTensors.Tensor{Number, 3, NDTensors.Combiner, Tuple{Vector{Int64}, Vector{Int64}, Vector{Int64}}}, combiner_tensor_labels::Tuple{Int64, Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/combiner.jl:72
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:94 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:1
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [32] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [33] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [34] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [35] top-level scope
      @ none:6
   [36] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [37] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [38] _start()
      @ Base ./client.jl:563

BlockSparse * Combiner: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] _permutedims!(P::PermutedDimsArray{Float32, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float32, 3}, R1::CartesianIndices{0, Tuple{}}, R2::CartesianIndices{0, Tuple{}}, R3::CartesianIndices{1, Tuple{Base.OneTo{Int64}}}, ds::Int64, dp::Int64)
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:322
   [10] _copy!(P::PermutedDimsArray{Float32, 3, (3, 1, 2), (2, 3, 1), Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, src::JLArrays.JLArray{Float32, 3})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:311
   [11] permutedims!(dest::Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, src::JLArrays.JLArray{Float32, 3}, perm::Tuple{Int64, Int64, Int64})
      @ Base.PermutedDimsArrays ./permuteddimsarray.jl:287
   [12] permutedims!(Edest::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 2}, Base.ReshapedArray{Float32, 3, SubArray{Float32, 2, JLArrays.JLArray{Float32, 2}, Tuple{UnitRange{Int64}, UnitRange{Int64}}, false}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, Esrc::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 3}, JLArrays.JLArray{Float32, 3}}, perm::Tuple{Int64, Int64, Int64})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/permutedims.jl:6
   [13] permutedims_combine(T::NDTensors.BlockSparseTensor{Float32, 3, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 3}}, is::Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, perm::Tuple{Int64, Int64, Int64}, combdims::Tuple{Int64, Int64}, blockperm::Vector{Int64}, blockcomb::Vector{Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/blocksparsetensor.jl:600
   [14] contract(tensor::NDTensors.BlockSparseTensor{Float32, 3, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}, NDTensors.BlockSparse{Float32, JLArrays.JLArray{Float32, 1}, 3}}, tensor_labels::Tuple{Int64, Int64, Int64}, combiner_tensor::NDTensors.Tensor{Number, 3, NDTensors.Combiner, Tuple{Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}, Main.var"##NDTensors#284".var"##414".Index{Vector{Pair{Main.var"##NDTensors#284".var"##414".QN, Int64}}}}}, combiner_tensor_labels::Tuple{Int64, Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/combiner.jl:72
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:40 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:75 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:94 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl:1
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [32] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [33] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [34] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [35] top-level scope
      @ none:6
   [36] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [37] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [38] _start()
      @ Base ./client.jl:563
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl

DenseTensor basic functionality: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:148
  Test threw exception
  Expression: Array(J * K) ≈ Array(J) * Array(K)
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] __matmul2x2_elements(tA::Char, A::JLArrays.JLArray{Float64, 2})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1205
   [10] __matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1234 [inlined]
   [11] _matmul2x2_elements
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1199 [inlined]
   [12] matmul2x2or3x3_nonzeroalpha!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:490
   [13] gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894 [inlined]
   [14] _syrk_herk_gemm_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:531 [inlined]
   [15] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Bool, β::Bool, val::Val{LinearAlgebra.BlasFlag.GEMM})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:270 [inlined]
   [19] *
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:141 [inlined]
   [20] *(T1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, T2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:16
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:19 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:148 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]

No permutation: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:234
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] getindex(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF64, 1}, JLArrays.JLArray{ComplexF64, 1}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:6
   [10] getindex
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:96 [inlined]
   [11] _contract_scalar_maybe_perm!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T₁::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT₁::Tuple{Int64, Int64, Int64}, T₂::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT₂::Tuple{Int64, Int64}, α::ComplexF64, β::ComplexF64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:134
   [12] _contract_scalar!
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:155 [inlined]
   [13] contract!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT2::Tuple{Int64, Int64}, α::ComplexF64, β::ComplexF64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:172
   [14] contract!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:171
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:234 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:235 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:240 [inlined]
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:1
   [26] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [27] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [32] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [33] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [36] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [37] top-level scope
      @ none:6
   [38] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [39] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [40] _start()
      @ Base ./client.jl:563

Permutation: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:245
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] getindex(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF64, 1}, JLArrays.JLArray{ComplexF64, 1}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:6
   [10] getindex
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:96 [inlined]
   [11] _contract_scalar_maybe_perm!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T₁::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT₁::Tuple{Int64, Int64, Int64}, T₂::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT₂::Tuple{Int64, Int64}, α::ComplexF64, β::ComplexF64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:134
   [12] _contract_scalar!
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:155 [inlined]
   [13] contract!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT2::Tuple{Int64, Int64}, α::ComplexF64, β::ComplexF64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:172
   [14] contract!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:171
   [15] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:15 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:234 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:246 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:251 [inlined]
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:1
   [26] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [27] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [30] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [31] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [32] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [33] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [36] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [37] top-level scope
      @ none:6
   [38] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [39] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [40] _start()
      @ Base ./client.jl:563
Precompiling packages...
              ✗ Static
              ✗ BitTwiddlingConvenienceFunctions
              ✗ StaticArrayInterface
              ✗ CPUSummary
              ✗ HostCPUFeatures
              ✗ StaticArrayInterface → StaticArrayInterfaceOffsetArraysExt
              ✗ CloseOpenIntervals
              ✗ LayoutPointers
              ✗ PolyesterWeave
              ✗ VectorizationBase
              ✗ SLEEFPirates
              ✗ LoopVectorization
Info Given Octavian was explicitly requested, output will be shown live 
ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
Suggestion: check for spelling errors or missing imports.
Stacktrace:
  [1] getproperty
    @ ./Base_compiler.jl:50 [inlined]
  [2] recompile_invalidations(__module__::Module, expr::Any)
    @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
  [3] top-level scope
    @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
  [4] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
  [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
  [6] top-level scope
    @ stdin:5
  [7] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
  [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
  [9] include_string
    @ ./loading.jl:2873 [inlined]
 [10] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [11] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_lk0Qnz" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)
    @ Base ./module.jl:111
 [20] top-level scope
    @ ~/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:6
 [21] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
    @ Base ./loading.jl:3017
 [23] top-level scope
    @ stdin:5
 [24] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [25] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [26] include_string
    @ ./loading.jl:2873 [inlined]
 [27] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [28] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:1
in expression starting at stdin:5
ERROR: LoadError: Failed to precompile VectorizationBase [3d5dd08c-fd9d-11e8-17fa-ed2836048c2f] to "/home/pkgeval/.julia/compiled/v1.13/VectorizationBase/jl_VYNq6j" (ProcessExited(1)).
Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:44
  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
    @ Base ./loading.jl:3304
  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
    @ Base ./loading.jl:3182
  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
    @ Base ./loading.jl:2669
  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
  [6] #mkpidlock#7
    @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
    @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
  [8] #invokelatest_gr#233
    @ ./reflection.jl:1333 [inlined]
  [9] invokelatest_gr
    @ ./reflection.jl:1325 [inlined]
 [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
    @ Base ./loading.jl:3875
 [11] maybe_cachefile_lock
    @ ./loading.jl:3872 [inlined]
 [12] __require_prelocked(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2655
 [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2484
 [14] macro expansion
    @ ./loading.jl:2412 [inlined]
 [15] macro expansion
    @ ./lock.jl:376 [inlined]
 [16] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2376
 [17] require
    @ ./loading.jl:2352 [inlined]
 [18] eval_import_path
    @ ./module.jl:36 [inlined]
 [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
    @ Base ./module.jl:60
 [20] _eval_using(to::Module, path::Expr)
    @ Base ./module.jl:137
 [21] top-level scope
    @ ~/.julia/packages/Octavian/4f4xi/src/Octavian.jl:3
 [22] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
 [24] top-level scope
    @ stdin:5
 [25] eval(m::Module, e::Any)
    @ Core ./boot.jl:489
 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
    @ Base ./loading.jl:2863
 [27] include_string
    @ ./loading.jl:2873 [inlined]
 [28] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:328
 [29] _start()
    @ Base ./client.jl:563
in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/src/Octavian.jl:1
in expression starting at stdin:5
              ✗ Octavian
  0 dependencies successfully precompiled in 92 seconds. 26 already precompiled.


change backends: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl:303
  Got exception outside of a @test
  The following 1 direct dependency failed to precompile:
  Octavian 
  Failed to precompile Octavian [6fd5a793-0b7e-452c-907f-f8bfe9c57db4] to "/home/pkgeval/.julia/compiled/v1.13/Octavian/jl_KRriTv" (ProcessExited(1)).
  ERROR: LoadError: UndefVarError: `StaticData` not defined in `Base`
  Suggestion: check for spelling errors or missing imports.
  Stacktrace:
    [1] getproperty
      @ ./Base_compiler.jl:50 [inlined]
    [2] recompile_invalidations(__module__::Module, expr::Any)
      @ PrecompileTools ~/.julia/packages/PrecompileTools/Z8SWe/src/invalidations.jl:17
    [3] top-level scope
      @ ~/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:19
    [4] include(mod::Module, _path::String)
      @ Base ./Base.jl:308
    [5] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
      @ Base ./loading.jl:3017
    [6] top-level scope
      @ stdin:5
    [7] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
    [8] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
      @ Base ./loading.jl:2863
    [9] include_string
      @ ./loading.jl:2873 [inlined]
   [10] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:328
   [11] _start()
      @ Base ./client.jl:563
  in expression starting at /home/pkgeval/.julia/packages/StaticArrayInterface/lkDPR/src/StaticArrayInterface.jl:1
  in expression starting at stdin:5
  ERROR: LoadError: Failed to precompile StaticArrayInterface [0d7ed370-da01-4f52-bd93-41d350b8b718] to "/home/pkgeval/.julia/compiled/v1.13/StaticArrayInterface/jl_lk0Qnz" (ProcessExited(1)).
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
      @ Base ./loading.jl:3304
    [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
      @ Base ./loading.jl:3182
    [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
      @ Base ./loading.jl:2669
    [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
      @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
    [6] #mkpidlock#7
      @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
    [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
      @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
    [8] #invokelatest_gr#233
      @ ./reflection.jl:1333 [inlined]
    [9] invokelatest_gr
      @ ./reflection.jl:1325 [inlined]
   [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
      @ Base ./loading.jl:3875
   [11] maybe_cachefile_lock
      @ ./loading.jl:3872 [inlined]
   [12] __require_prelocked(pkg::Base.PkgId, env::String)
      @ Base ./loading.jl:2655
   [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
      @ Base ./loading.jl:2484
   [14] macro expansion
      @ ./loading.jl:2412 [inlined]
   [15] macro expansion
      @ ./lock.jl:376 [inlined]
   [16] __require(into::Module, mod::Symbol)
      @ Base ./loading.jl:2376
   [17] require
      @ ./loading.jl:2352 [inlined]
   [18] eval_import_path
      @ ./module.jl:36 [inlined]
   [19] _eval_import(imported::Bool, to::Module, from::Nothing, paths::Expr)
      @ Base ./module.jl:111
   [20] top-level scope
      @ ~/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:6
   [21] include(mod::Module, _path::String)
      @ Base ./Base.jl:308
   [22] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)
      @ Base ./loading.jl:3017
   [23] top-level scope
      @ stdin:5
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
      @ Base ./loading.jl:2863
   [26] include_string
      @ ./loading.jl:2873 [inlined]
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:328
   [28] _start()
      @ Base ./client.jl:563
  in expression starting at /home/pkgeval/.julia/packages/VectorizationBase/wHnQd/src/VectorizationBase.jl:1
  in expression starting at stdin:5
  ERROR: LoadError: Failed to precompile VectorizationBase [3d5dd08c-fd9d-11e8-17fa-ed2836048c2f] to "/home/pkgeval/.julia/compiled/v1.13/VectorizationBase/jl_VYNq6j" (ProcessExited(1)).
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)
      @ Base ./loading.jl:3304
    [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)
      @ Base ./loading.jl:3182
    [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()
      @ Base ./loading.jl:2669
    [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})
      @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94
    [6] #mkpidlock#7
      @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]
    [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})
      @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115
    [8] #invokelatest_gr#233
      @ ./reflection.jl:1333 [inlined]
    [9] invokelatest_gr
      @ ./reflection.jl:1325 [inlined]
   [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)
      @ Base ./loading.jl:3875
   [11] maybe_cachefile_lock
      @ ./loading.jl:3872 [inlined]
   [12] __require_prelocked(pkg::Base.PkgId, env::String)
      @ Base ./loading.jl:2655
   [13] _require_prelocked(uuidkey::Base.PkgId, env::String)
      @ Base ./loading.jl:2484
   [14] macro expansion
      @ ./loading.jl:2412 [inlined]
   [15] macro expansion
      @ ./lock.jl:376 [inlined]
   [16] __require(into::Module, mod::Symbol)
      @ Base ./loading.jl:2376
   [17] require
      @ ./loading.jl:2352 [inlined]
   [18] eval_import_path
      @ ./module.jl:36 [inlined]
   [19] eval_import_path_all(at::Module, path::Expr, keyword::String)
      @ Base ./module.jl:60
   [20] _eval_using(to::Module, path::Expr)
      @ Base ./module.jl:137
   [21] top-level scope
      @ ~/.julia/packages/Octavian/4f4xi/src/Octavian.jl:3
   [22] include(mod::Module, _path::String)
      @ Base ./Base.jl:308
   [23] include_package_for_output(pkg::Base.PkgId, input::String, 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:3017
   [24] top-level scope
      @ stdin:5
   [25] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)
      @ Base ./loading.jl:2863
   [27] include_string
      @ ./loading.jl:2873 [inlined]
   [28] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:328
   [29] _start()
      @ Base ./client.jl:563
  in expression starting at /home/pkgeval/.julia/packages/Octavian/4f4xi/src/Octavian.jl:1
  in expression starting at stdin:
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67
  Test threw exception
  Expression: sqrt((contract(D, (-1, -2), conj(D), (-1, -2)))[]) ≈ norm(D)
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensorstorage/tensorstorage.jl:30 [inlined]
    [7] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/diagtensor.jl:103 [inlined]
    [8] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 1}, NDTensors.DiagTensor{Float32, 0, Tuple{}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}}, x::Float32)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
    [9] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:96 [inlined]
   [10] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:73 [inlined]
   [11] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:71 [inlined]
   [12] _contract!!(output_tensor::NDTensors.DiagTensor{Float32, 0, Tuple{}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelsoutput_tensor::Tuple{}, tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelstensor2::Tuple{Int64, Int64}, α::Int64, β::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143
   [13] _contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
   [14] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
   [15] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
   [16] contract(tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
   [17] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}}}, tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
   [18] contract(tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [10] _unsafe_getindex_rs
       @ ./reshapedarray.jl:317 [inlined]
    [11] _unsafe_getindex
       @ ./reshapedarray.jl:314 [inlined]
    [12] getindex
       @ ./reshapedarray.jl:302 [inlined]
    [13] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [14] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/generic.jl:100 [inlined]
    [15] _generic_matmatmul_nonadjtrans!(C::JLArrays.JLArray{Float32, 2}, A::JLArrays.JLArray{Float32, 2}, B::LinearAlgebra.Transpose{Float32, Base.ReshapedArray{Float32, 2, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::Float32, beta::Float32)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1137
    [16] __generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1129 [inlined]
    [17] _generic_matmatmul!(C::JLArrays.JLArray{Float32, 2}, A::JLArrays.JLArray{Float32, 2}, B::LinearAlgebra.Transpose{Float32, Base.ReshapedArray{Float32, 2, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::Float32, beta::Float32)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
    [18] generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
    [19] generic_matmatmul_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
    [20] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [21] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [22] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [23] mul!!(CM::JLArrays.JLArray{Float32, 2}, AM::JLArrays.JLArray{Float32, 2}, BM::LinearAlgebra.Transpose{Float32, Base.ReshapedArray{Float32, 2, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, α::Float32, β::Float32)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
    [24] _contract!(CT::JLArrays.JLArray{Float32, 3}, AT::JLArrays.JLArray{Float32, 2}, BT::Base.ReshapedArray{Float32, 3, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, props::NDTensors.ContractionProperties{2, 3, 3}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [25] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [26] contract!(R::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelsT2::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [27] contract!(C::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}, Clabels::Tuple{Int64, Int64, Int64}, A::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, Blabels::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [28] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[29] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [31] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [32] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [33] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [34] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [35] contract(tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelstensor2::Tuple{Int64, Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [36] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}}}, tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [37] contract(tensor1::NDTensors.DiagTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float32, JLArrays.JLArray{Float32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float32, Base.ReshapedArray{Float32, 1, LinearAlgebra.Adjoint{Float32, JLArrays.JLArray{Float32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [38] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
    [39] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [40] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
    [41] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [42] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:98 [inlined]
    [43] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [44] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:1
    [45] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [46] top-level scope
       @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
    [47] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [48] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
    [49] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [50] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
    [51] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [52] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
    [53] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [54] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
    [55] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [56] top-level scope
       @ none:6
    [57] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [58] exec_options(opts::Base.JLOptions)
       @ Base ./client.jl:296
    [59] _start()
       @ Base ./client.jl:563

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67
  Test threw exception
  Expression: sqrt((contract(D, (-1, -2), conj(D), (-1, -2)))[]) ≈ norm(D)
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensorstorage/tensorstorage.jl:30 [inlined]
    [7] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/diagtensor.jl:103 [inlined]
    [8] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF32, 1}, NDTensors.DiagTensor{ComplexF32, 0, Tuple{}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}}, x::ComplexF32)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
    [9] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:96 [inlined]
   [10] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:73 [inlined]
   [11] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:71 [inlined]
   [12] _contract!!(output_tensor::NDTensors.DiagTensor{ComplexF32, 0, Tuple{}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelsoutput_tensor::Tuple{}, tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelstensor2::Tuple{Int64, Int64}, α::Int64, β::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143
   [13] _contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
   [14] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
   [15] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
   [16] contract(tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
   [17] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}}}, tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
   [18] contract(tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [10] _unsafe_getindex_rs
       @ ./reshapedarray.jl:317 [inlined]
    [11] _unsafe_getindex
       @ ./reshapedarray.jl:314 [inlined]
    [12] getindex
       @ ./reshapedarray.jl:302 [inlined]
    [13] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [14] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/generic.jl:100 [inlined]
    [15] _generic_matmatmul_nonadjtrans!(C::JLArrays.JLArray{ComplexF32, 2}, A::JLArrays.JLArray{ComplexF32, 2}, B::LinearAlgebra.Transpose{ComplexF32, Base.ReshapedArray{ComplexF32, 2, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::ComplexF32, beta::ComplexF32)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1137
    [16] __generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1129 [inlined]
    [17] _generic_matmatmul!(C::JLArrays.JLArray{ComplexF32, 2}, A::JLArrays.JLArray{ComplexF32, 2}, B::LinearAlgebra.Transpose{ComplexF32, Base.ReshapedArray{ComplexF32, 2, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::ComplexF32, beta::ComplexF32)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
    [18] generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
    [19] generic_matmatmul_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
    [20] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [21] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [22] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [23] mul!!(CM::JLArrays.JLArray{ComplexF32, 2}, AM::JLArrays.JLArray{ComplexF32, 2}, BM::LinearAlgebra.Transpose{ComplexF32, Base.ReshapedArray{ComplexF32, 2, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, α::ComplexF32, β::ComplexF32)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
    [24] _contract!(CT::JLArrays.JLArray{ComplexF32, 3}, AT::JLArrays.JLArray{ComplexF32, 2}, BT::Base.ReshapedArray{ComplexF32, 3, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, props::NDTensors.ContractionProperties{2, 3, 3}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [25] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [26] contract!(R::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelsT2::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [27] contract!(C::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, Clabels::Tuple{Int64, Int64, Int64}, A::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, Blabels::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [28] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[29] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [31] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [32] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [33] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [34] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [35] contract(tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelstensor2::Tuple{Int64, Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [36] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}}}, tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [37] contract(tensor1::NDTensors.DiagTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF32, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF32, Base.ReshapedArray{ComplexF32, 1, LinearAlgebra.Adjoint{ComplexF32, JLArrays.JLArray{ComplexF32, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [38] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
    [39] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [40] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
    [41] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [42] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:98 [inlined]
    [43] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [44] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:1
    [45] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [46] top-level scope
       @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
    [47] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [48] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
    [49] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [50] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
    [51] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [52] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
    [53] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [54] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
    [55] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [56] top-level scope
       @ none:6
    [57] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [58] exec_options(opts::Base.JLOptions)
       @ Base ./client.jl:296
    [59] _start()
       @ Base ./client.jl:563

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67
  Test threw exception
  Expression: sqrt((contract(D, (-1, -2), conj(D), (-1, -2)))[]) ≈ norm(D)
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensorstorage/tensorstorage.jl:30 [inlined]
    [7] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/diagtensor.jl:103 [inlined]
    [8] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 1}, NDTensors.DiagTensor{Float64, 0, Tuple{}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}}, x::Float64)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
    [9] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:96 [inlined]
   [10] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:73 [inlined]
   [11] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:71 [inlined]
   [12] _contract!!(output_tensor::NDTensors.DiagTensor{Float64, 0, Tuple{}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelsoutput_tensor::Tuple{}, tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, α::Int64, β::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143
   [13] _contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
   [14] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
   [15] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
   [16] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
   [17] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}}}, tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
   [18] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [10] _unsafe_getindex_rs
       @ ./reshapedarray.jl:317 [inlined]
    [11] _unsafe_getindex
       @ ./reshapedarray.jl:314 [inlined]
    [12] getindex
       @ ./reshapedarray.jl:302 [inlined]
    [13] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [14] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/generic.jl:100 [inlined]
    [15] _generic_matmatmul_nonadjtrans!(C::JLArrays.JLArray{Float64, 2}, A::JLArrays.JLArray{Float64, 2}, B::LinearAlgebra.Transpose{Float64, Base.ReshapedArray{Float64, 2, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::Float64, beta::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1137
    [16] __generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1129 [inlined]
    [17] _generic_matmatmul!(C::JLArrays.JLArray{Float64, 2}, A::JLArrays.JLArray{Float64, 2}, B::LinearAlgebra.Transpose{Float64, Base.ReshapedArray{Float64, 2, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::Float64, beta::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
    [18] generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
    [19] generic_matmatmul_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
    [20] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [21] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [22] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [23] mul!!(CM::JLArrays.JLArray{Float64, 2}, AM::JLArrays.JLArray{Float64, 2}, BM::LinearAlgebra.Transpose{Float64, Base.ReshapedArray{Float64, 2, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, α::Float64, β::Float64)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
    [24] _contract!(CT::JLArrays.JLArray{Float64, 3}, AT::JLArrays.JLArray{Float64, 2}, BT::Base.ReshapedArray{Float64, 3, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, props::NDTensors.ContractionProperties{2, 3, 3}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [25] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [26] contract!(R::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelsT2::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [27] contract!(C::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{Int64, Int64, Int64}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, Blabels::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [28] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[29] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [31] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [32] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [33] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [34] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [35] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelstensor2::Tuple{Int64, Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [36] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}}}, tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [37] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{Float64, Base.ReshapedArray{Float64, 1, LinearAlgebra.Adjoint{Float64, JLArrays.JLArray{Float64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [38] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
    [39] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [40] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
    [41] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [42] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:98 [inlined]
    [43] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [44] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:1
    [45] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [46] top-level scope
       @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
    [47] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [48] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
    [49] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [50] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
    [51] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [52] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
    [53] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [54] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
    [55] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [56] top-level scope
       @ none:6
    [57] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [58] exec_options(opts::Base.JLOptions)
       @ Base ./client.jl:296
    [59] _start()
       @ Base ./client.jl:563

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67
  Test threw exception
  Expression: sqrt((contract(D, (-1, -2), conj(D), (-1, -2)))[]) ≈ norm(D)
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensorstorage/tensorstorage.jl:30 [inlined]
    [7] setindex!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/diagtensor.jl:103 [inlined]
    [8] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF64, 1}, NDTensors.DiagTensor{ComplexF64, 0, Tuple{}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}}, x::ComplexF64)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
    [9] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:96 [inlined]
   [10] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:73 [inlined]
   [11] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:71 [inlined]
   [12] _contract!!(output_tensor::NDTensors.DiagTensor{ComplexF64, 0, Tuple{}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsoutput_tensor::Tuple{}, tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelstensor2::Tuple{Int64, Int64}, α::Int64, β::Int64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143
   [13] _contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
   [14] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
   [15] contract!!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
   [16] contract(tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
   [17] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}}}, tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
   [18] contract(tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
   [22] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [23] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:67 [inlined]
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]

test device: jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [10] _unsafe_getindex_rs
       @ ./reshapedarray.jl:317 [inlined]
    [11] _unsafe_getindex
       @ ./reshapedarray.jl:314 [inlined]
    [12] getindex
       @ ./reshapedarray.jl:302 [inlined]
    [13] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [14] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/generic.jl:100 [inlined]
    [15] _generic_matmatmul_nonadjtrans!(C::JLArrays.JLArray{ComplexF64, 2}, A::JLArrays.JLArray{ComplexF64, 2}, B::LinearAlgebra.Transpose{ComplexF64, Base.ReshapedArray{ComplexF64, 2, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::ComplexF64, beta::ComplexF64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1137
    [16] __generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1129 [inlined]
    [17] _generic_matmatmul!(C::JLArrays.JLArray{ComplexF64, 2}, A::JLArrays.JLArray{ComplexF64, 2}, B::LinearAlgebra.Transpose{ComplexF64, Base.ReshapedArray{ComplexF64, 2, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, alpha::ComplexF64, beta::ComplexF64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
    [18] generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
    [19] generic_matmatmul_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
    [20] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [21] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [22] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [23] mul!!(CM::JLArrays.JLArray{ComplexF64, 2}, AM::JLArrays.JLArray{ComplexF64, 2}, BM::LinearAlgebra.Transpose{ComplexF64, Base.ReshapedArray{ComplexF64, 2, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}, α::ComplexF64, β::ComplexF64)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
    [24] _contract!(CT::JLArrays.JLArray{ComplexF64, 3}, AT::JLArrays.JLArray{ComplexF64, 2}, BT::Base.ReshapedArray{ComplexF64, 3, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}, props::NDTensors.ContractionProperties{2, 3, 3}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [25] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [26] contract!(R::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsR::Tuple{Int64, Int64, Int64}, T1::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelsT2::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [27] contract!(C::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, Clabels::Tuple{Int64, Int64, Int64}, A::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, Blabels::Tuple{Int64, Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [28] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[29] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [31] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [32] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [33] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [34] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [35] contract(tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labelstensor2::Tuple{Int64, Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [36] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}}}, tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [37] contract(tensor1::NDTensors.DiagTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Diag{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{ComplexF64, 3, Tuple{Int64, Int64, Int64}, NDTensors.Dense{ComplexF64, Base.ReshapedArray{ComplexF64, 1, LinearAlgebra.Adjoint{ComplexF64, JLArrays.JLArray{ComplexF64, 2}}, Tuple{Base.MultiplicativeInverses.SignedMultiplicativeInverse{Int64}}}}}, labels_tensor2::Tuple{Int64, Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [38] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25
    [39] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [40] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:25 [inlined]
    [41] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [42] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:98 [inlined]
    [43] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [44] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:1
    [45] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [46] top-level scope
       @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
    [47] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [48] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
    [49] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [50] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
    [51] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [52] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
    [53] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [54] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
    [55] include(mapexpr::Function, mod::Module, _path::String)
       @ Base ./Base.jl:309
    [56] top-level scope
       @ none:6
    [57] eval(m::Module, e::Any)
       @ Core ./boot.jl:489
    [58] exec_options(opts::Base.JLOptions)
       @ Base ./client.jl:296
    [59] _start()
       @ Base ./client.jl:563

DiagTensor contractions: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:115
  Test threw exception
  Expression: contract(A, (1, -2), t, (-2, 3)) == A
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] __matmul3x3_elements(tA::Char, A::JLArrays.JLArray{Float64, 2})
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1267
    [10] __matmul3x3_elements
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1304 [inlined]
    [11] _matmul3x3_elements
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1261 [inlined]
    [12] matmul3x3!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Float64, β::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1327
    [13] matmul2x2or3x3_nonzeroalpha!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:483 [inlined]
    [14] gemm_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Float64, β::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:894
    [15] _syrk_herk_gemm_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:531 [inlined]
    [16] generic_matmatmul_wrapper!(C::JLArrays.JLArray{Float64, 2}, tA::Char, tB::Char, A::JLArrays.JLArray{Float64, 2}, B::JLArrays.JLArray{Float64, 2}, α::Float64, β::Float64, val::Val{LinearAlgebra.BlasFlag.GEMM})
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:511
    [17] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [18] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [19] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [20] mul!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2 [inlined]
    [21] mul!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:10 [inlined]
    [22] _contract!(CT::JLArrays.JLArray{Float64, 2}, AT::JLArrays.JLArray{Float64, 2}, BT::JLArrays.JLArray{Float64, 2}, props::NDTensors.ContractionProperties{2, 2, 2}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [23] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [24] contract!(R::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsR::Tuple{Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT2::Tuple{Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [25] contract!(C::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{Int64, Int64}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Blabels::Tuple{Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [26] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
    [27] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:225 [inlined]
   ┌[28] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [30] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [31] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [32] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [33] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [34] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [35] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [36] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [37] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]
    [38] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:115 [inlined]
    [39] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [40] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:2041

DiagTensor contractions: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:116
  Test threw exception
  Expression: contract(A, (-2, 1), t, (-2, 3)) == transpose(A)
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] scalar_getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
     [7] _getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
     [8] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
     [9] getindex
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
    [10] _generic_matmatmul_generic!(C::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, A::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, B::JLArrays.JLArray{Float64, 2}, alpha::Float64, beta::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1168
    [11] __generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1128 [inlined]
    [12] _generic_matmatmul!(C::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, A::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, B::JLArrays.JLArray{Float64, 2}, alpha::Float64, beta::Float64)
       @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
    [13] generic_matmatmul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
    [14] generic_matmatmul_wrapper!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
    [15] _mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
    [16] mul!
       @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
    [17] mul!
       @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
    [18] mul!!(CM::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, AM::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, BM::JLArrays.JLArray{Float64, 2}, α::Float64, β::Float64)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
    [19] _contract!(CT::JLArrays.JLArray{Float64, 2}, AT::JLArrays.JLArray{Float64, 2}, BT::JLArrays.JLArray{Float64, 2}, props::NDTensors.ContractionProperties{2, 2, 2}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
    [20] _contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
    [21] contract!(R::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsR::Tuple{Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT2::Tuple{Int64, Int64}, α::Bool, β::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
    [22] contract!(C::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{Int64, Int64}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Blabels::Tuple{Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
    [23] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
    [24] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:225 [inlined]
   ┌[25] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [27] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [28] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [29] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [30] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [31] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [32] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [33] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [34] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]
    [35] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:116 [inlined]
    [36] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [37] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:2041

DiagTensor contractions: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:120
  Test threw exception
  Expression: ≈((contract(t, (-1, -2), A, (-1, -2)))[], dot(dev(array(t)), array(A)), rtol = sqrt(eps(elt)))
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] getindex(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Float64, 1}}, I::Int64)
       @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:13
     [7] getindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:101 [inlined]
     [8] getindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:106 [inlined]
     [9] getdiagindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensor/tensor.jl:412 [inlined]
    [10] contract!(C::NDTensors.DenseTensor{Float64, 0, Tuple{}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Blabels::Tuple{Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:125
    [11] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[12] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [14] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [15] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [16] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [17] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [18] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [19] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}}}, tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [20] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332
    [21] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]
    [22] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:120 [inlined]
    [23] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [24] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:2041

DiagTensor contractions: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:125
  Test threw exception
  Expression: ≈(dot(t, A), dot(dev(array(t)), array(A)), rtol = sqrt(eps(elt)))
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
     [1] error(s::String)
       @ Base ./error.jl:44
     [2] errorscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
     [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
     [4] assertscalar(op::String)
       @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
     [5] getindex
       @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
     [6] getindex(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 1}, JLArrays.JLArray{Float64, 1}}, I::Int64)
       @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:13
     [7] getindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:101 [inlined]
     [8] getindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/dense/densetensor.jl:106 [inlined]
     [9] getdiagindex
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensor/tensor.jl:412 [inlined]
    [10] contract!(C::NDTensors.DenseTensor{Float64, 0, Tuple{}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Blabels::Tuple{Int64, Int64}, α::Bool, β::Bool; convert_to_dense::Bool)
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:125
    [11] contract!
       @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   ┌[12] contract!
   │   @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   ╰──── repeated 2 times
    [14] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:143 [inlined]
    [15] _contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:131 [inlined]
    [16] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:219 [inlined]
    [17] contract!!
       @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:188 [inlined]
    [18] contract(tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::Tuple{})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:113
    [19] contract(::Type{NDTensors.CanContract{NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}}}, tensor1::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labels_tensor2::Tuple{Int64, Int64})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:91
    [20] contract
       @ ~/.julia/packages/SimpleTraits/7VJph/src/SimpleTraits.jl:332 [inlined]
    [21] dot(x::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, y::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
       @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:28
    [22] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:742 [inlined]
    [23] macro expansion
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:125 [inlined]
    [24] macro expansion
       @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [25] top-level scope
       @ ~/.julia/packages/NDTensors/Lb78J/test/test_diag.jl:2041
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl

DiagBlockSparse contract: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl:60
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] getindex
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/adjtrans.jl:348 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/generic.jl:100 [inlined]
   [11] _generic_matmatmul_nonadjtrans!(C::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, A::Matrix{Float64}, B::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, alpha::Float64, beta::Float64)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1137
   [12] __generic_matmatmul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1129 [inlined]
   [13] _generic_matmatmul!(C::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, A::Matrix{Float64}, B::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, alpha::Float64, beta::Float64)
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1123
   [14] generic_matmatmul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:1113 [inlined]
   [15] generic_matmatmul_wrapper!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:348 [inlined]
   [16] _mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:333 [inlined]
   [17] mul!
      @ /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/matmul.jl:302 [inlined]
   [18] mul!
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/mul.jl:2 [inlined]
   [19] mul!!(CM::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, AM::Matrix{Float64}, BM::LinearAlgebra.Transpose{Float64, JLArrays.JLArray{Float64, 2}}, α::Float64, β::Float64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/mul.jl:2
   [20] _contract!(CT::JLArrays.JLArray{Float64, 2}, AT::Matrix{Float64}, BT::JLArrays.JLArray{Float64, 2}, props::NDTensors.ContractionProperties{2, 2, 2}, α::Float64, β::Float64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/abstractarray/tensoralgebra/contract.jl:174
   [21] _contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:230 [inlined]
   [22] contract!(R::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsR::Tuple{Int64, Int64}, T1::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, Vector{Float64}}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, labelsT2::Tuple{Int64, Int64}, α::Float64, β::Float64)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/dense/tensoralgebra/contract.jl:213
   [23] contract!(C::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Clabels::Tuple{Int64, Int64}, A::NDTensors.DiagTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Diag{Float64, Float64}}, Alabels::Tuple{Int64, Int64}, B::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}, Blabels::Tuple{Int64, Int64}, α::Float64, β::Float64; convert_to_dense::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:141
   [24] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:103 [inlined]
   [25] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/diag/tensoralgebra/contract.jl:225 [inlined]
   [26] contract!
      @ ~/.julia/packages/NDTensors/Lb78J/src/tensoroperations/generic_tensor_operations.jl:165 [inlined]
   [27] contract!(R::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}, labelsR::Tuple{Int64, Int64}, T1::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DiagBlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.DiagBlockSparse{Float64, Float64, 2}}, labelsT2::Tuple{Int64, Int64}, contraction_plan::Vector{Tuple{NDTensors.Block{2}, NDTensors.Block{2}, NDTensors.Block{2}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/diagblocksparse.jl:671
   [28] contract(T1::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DiagBlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.DiagBlockSparse{Float64, Float64, 2}}, labelsT2::Tuple{Int64, Int64}, labelsR::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/diagblocksparse.jl:621
   [29] contract(T1::NDTensors.BlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.BlockSparse{Float64, JLArrays.JLArray{Float64, 1}, 2}}, labelsT1::Tuple{Int64, Int64}, T2::NDTensors.DiagBlockSparseTensor{Float64, 2, Tuple{Vector{Int64}, Vector{Int64}}, NDTensors.DiagBlockSparse{Float64, Float64, 2}}, labelsT2::Tuple{Int64, Int64})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/blocksparse/diagblocksparse.jl:620
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl:67 [inlined]
   [31] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl:2041
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl:1
   [35] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [36] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [37] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [38] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [39] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [40] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [41] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [42] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [43] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [44] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [45] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [46] top-level scope
      @ none:6
   [47] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [48] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [49] _start()
      @ Base ./client.jl:563
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_emptynumber.jl
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_emptystorage.jl
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl

Dense qr decomposition, elt=Float64, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float64, 2}(::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
  The type `JLArrays.JLArray{Float64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float64, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float64, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float64, 2}(::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
  The type `JLArrays.JLArray{Float64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float64, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float64, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float64, 2}(::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
  The type `JLArrays.JLArray{Float64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float64, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float64, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float64, 2}(::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
  The type `JLArrays.JLArray{Float64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float64, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float64, JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float64, 2}, JLArrays.JLArray{Float64, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF64, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF64, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
  The type `JLArrays.JLArray{ComplexF64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF64, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF64, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF64, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
  The type `JLArrays.JLArray{ComplexF64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF64, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF64, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF64, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
  The type `JLArrays.JLArray{ComplexF64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF64, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF64, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF64, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
  The type `JLArrays.JLArray{ComplexF64, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF64, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF64, JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF64, 2}, JLArrays.JLArray{ComplexF64, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float32, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float32, 2}(::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
  The type `JLArrays.JLArray{Float32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float32, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float32, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float32, 2}(::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
  The type `JLArrays.JLArray{Float32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float32, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float32, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float32, 2}(::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
  The type `JLArrays.JLArray{Float32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float32, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=Float32, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{Float32, 2}(::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
  The type `JLArrays.JLArray{Float32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{Float32, 2}}, Q::LinearAlgebra.QRCompactWYQ{Float32, JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 2}, JLArrays.JLArray{Float32, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF32, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF32, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
  The type `JLArrays.JLArray{ComplexF32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF32, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF32, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF32, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
  The type `JLArrays.JLArray{ComplexF32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF32, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qx(qx::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:353
    [3] qr(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [4] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [5] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [6] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
    [9] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [10] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [12] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [13] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [14] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ none:6
   [24] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [25] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [26] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF32, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF32, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
  The type `JLArrays.JLArray{ComplexF32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF32, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense qr decomposition, elt=ComplexF32, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  MethodError: no method matching JLArrays.JLArray{ComplexF32, 2}(::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
  The type `JLArrays.JLArray{ComplexF32, 2}` exists, but no method is defined for this combination of argument types when trying to construct it.
  Closest candidates are:
    JLArrays.JLArray{T, N}(!Matched::GPUArrays.DataRef{Vector{UInt8}}, !Matched::NTuple{N, Int64}; offset) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:100
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Int64}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:88
    JLArrays.JLArray{T, N}(!Matched::UndefInitializer, !Matched::NTuple{N, Integer}) where {T, N}
     @ JLArrays ~/.julia/packages/JLArrays/vqfM6/src/JLArrays.jl:129
    ...
  Stacktrace:
    [1] convert(::Type{JLArrays.JLArray{ComplexF32, 2}}, Q::LinearAlgebra.QRCompactWYQ{ComplexF32, JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ LinearAlgebra /opt/julia/share/julia/stdlib/v1.13/LinearAlgebra/src/abstractq.jl:49
    [2] qr_positive(M::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:383
    [3] qr_positive(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF32, 2}, JLArrays.JLArray{ComplexF32, 2}})
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:11
    [4] qx(qx::typeof(NDTensors.Expose.qr_positive), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
    [5] qr(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:330
    [6] kwcall(::@NamedTuple{positive::Bool}, ::typeof(LinearAlgebra.qr), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:328
    [7] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
    [8] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
    [9] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [10] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [11] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [12] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [13] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [14] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [15] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [20] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [21] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [22] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [23] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [24] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [25] top-level scope
      @ none:6
   [26] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [27] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [28] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float64, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float64, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float64, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float64, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{Float64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float64, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float64, JLArrays.JLArray{Float64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF64, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF64, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF64, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF64, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{ComplexF64, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF64, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF64, JLArrays.JLArray{ComplexF64, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float32, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float32, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float32, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=Float32, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{Float32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{Float32, 2, Tuple{Int64, Int64}, NDTensors.Dense{Float32, JLArrays.JLArray{Float32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF32, positve=false, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF32, positve=false, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:16 [inlined]
   [12] qx(qx::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344
   [13] ql(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [14] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [15] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [16] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [17] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [18] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [19] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [20] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [21] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [22] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [23] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [24] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [25] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [26] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [27] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [28] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [29] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [30] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [31] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [32] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [33] top-level scope
      @ none:6
   [34] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [35] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [36] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF32, positve=true, singular=false, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563

Dense ql decomposition, elt=ComplexF32, positve=true, singular=true, device=jl: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of getindex resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:50 [inlined]
    [6] scalar_getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:36 [inlined]
    [7] _getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:19 [inlined]
    [8] getindex
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:17 [inlined]
    [9] ql!(A::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:449
   [10] ql
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:428 [inlined]
   [11] ql_positive(M::JLArrays.JLArray{ComplexF32, 2})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:403
   [12] ql_positive
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/linearalgebra.jl:20 [inlined]
   [13] qx
      @ ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:344 [inlined]
   [14] ql(T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}}; positive::Bool)
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:336
   [15] kwcall(::@NamedTuple{positive::Bool}, ::typeof(NDTensors.Expose.ql), T::NDTensors.DenseTensor{ComplexF32, 2, Tuple{Int64, Int64}, NDTensors.Dense{ComplexF32, JLArrays.JLArray{ComplexF32, 1}}})
      @ NDTensors ~/.julia/packages/NDTensors/Lb78J/src/linearalgebra/linearalgebra.jl:334
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:60 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29 [inlined]
   [19] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:29
   [21] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [22] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl:1
   [23] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [24] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [29] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [30] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [31] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [32] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [33] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [34] top-level scope
      @ none:6
   [35] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [36] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [37] _start()
      @ Base ./client.jl:563
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_tupletools.jl
Running /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl
NDTensors.BackendSelection.Algorithm type , NamedTuple()
Testing Expose jl, Float32: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:23
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] scalar_setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:42 [inlined]
    [7] _setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:26 [inlined]
    [8] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:24 [inlined]
    [9] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{Float32, 1}, JLArrays.JLArray{Float32, 1}}, x::Int64)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
   [10] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:62 [inlined]
   [11] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [12] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:2041
   [13] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [14] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:1
   [15] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:12 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:2041
   [19] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:1
   [21] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [22] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [23] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [24] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [29] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [30] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [31] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [32] top-level scope
      @ none:6
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [35] _start()
      @ Base ./client.jl:563

Testing Expose jl, ComplexF32: Error During Test at /home/pkgeval/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:23
  Got exception outside of a @test
  Scalar indexing is disallowed.
  Invocation of setindex! resulted in scalar indexing of a GPU array.
  This is typically caused by calling an iterating implementation of a method.
  Such implementations *do not* execute on the GPU, but very slowly on the CPU,
  and therefore should be avoided.
  If you want to allow scalar iteration, use `allowscalar` or `@allowscalar`
  to enable scalar iteration globally or for the operations in question.
  Stacktrace:
    [1] error(s::String)
      @ Base ./error.jl:44
    [2] errorscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:151
    [3] _assertscalar(op::String, behavior::GPUArraysCore.ScalarIndexing)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:124
    [4] assertscalar(op::String)
      @ GPUArraysCore ~/.julia/packages/GPUArraysCore/aNaXo/src/GPUArraysCore.jl:112
    [5] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:58 [inlined]
    [6] scalar_setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:42 [inlined]
    [7] _setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:26 [inlined]
    [8] setindex!
      @ ~/.julia/packages/GPUArrays/u6tui/src/host/indexing.jl:24 [inlined]
    [9] setindex!(E::NDTensors.Expose.Exposed{JLArrays.JLArray{ComplexF32, 1}, JLArrays.JLArray{ComplexF32, 1}}, x::Int64)
      @ NDTensors.Expose ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/src/functions/abstractarray.jl:9
   [10] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:62 [inlined]
   [11] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [12] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:2041
   [13] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [14] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/src/lib/Expose/test/runtests.jl:1
   [15] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [16] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:12 [inlined]
   [17] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [18] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:2041
   [19] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [20] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl:1
   [21] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [22] top-level scope
      @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:4
   [23] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [24] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:7 [inlined]
   [25] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:1929 [inlined]
   [26] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:13 [inlined]
   [27] macro expansion
      @ /opt/julia/share/julia/stdlib/v1.13/Test/src/Test.jl:2018 [inlined]
   [28] macro expansion
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:15 [inlined]
   [29] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [30] top-level scope
      @ ~/.julia/packages/NDTensors/Lb78J/test/runtests.jl:28
   [31] include(mapexpr::Function, mod::Module, _path::String)
      @ Base ./Base.jl:309
   [32] top-level scope
      @ none:6
   [33] eval(m::Module, e::Any)
      @ Core ./boot.jl:489
   [34] exec_options(opts::Base.JLOptions)
      @ Base ./client.jl:296
   [35] _start()
      @ Base ./client.jl:563
Test Summary:                                                                             | Pass  Error  Total      Time
NDTensors                                                                                 | 1952     67   2019  17m47.9s
  /home/pkgeval/.julia/packages/NDTensors/Lb78J/test                                      | 1952     67   2019  17m45.1s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_blocksparse.jl           |  575     12    587   4m14.0s
      BlockSparseTensor basic functionality                                               |  575     12    587   2m35.0s
        test device: cpu, eltype: Float32                                                 |  230           230     31.3s
        test device: cpu, eltype: Float64                                                 |  230           230     15.5s
        test device: jl, eltype: Float32                                                  |   10      1     11      3.8s
        test device: jl, eltype: Float64                                                  |   10      1     11      0.8s
        BlockSparseTensor setindex! add block                                             |   79            79      0.1s
        svd on cpu, eltype: Float32                                                       |    5             5     23.4s
        svd on cpu, eltype: Float64                                                       |    5             5     19.5s
        svd on jl, eltype: Float32                                                        |           5      5     17.0s
          svd example 1                                                                   |           1      1     16.0s
          svd example 2                                                                   |           1      1      0.1s
          svd example 3                                                                   |           1      1      0.1s
          svd example 4                                                                   |           1      1      0.7s
          svd example 5                                                                   |           1      1      0.1s
        svd on jl, eltype: Float64                                                        |           5      5     15.6s
          svd example 1                                                                   |           1      1     14.7s
          svd example 2                                                                   |           1      1      0.1s
          svd example 3                                                                   |           1      1      0.1s
          svd example 4                                                                   |           1      1      0.7s
          svd example 5                                                                   |           1      1      0.1s
        exp, eltype: Float32                                                              |    3             3     14.8s
        exp, eltype: Float64                                                              |    3             3     12.9s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_combiner.jl              |   96      4    100   1m24.1s
      CombinerTensor basic functionality                                                  |   96      4    100   1m23.9s
        test device: cpu, eltype: Float64                                                 |   36            36     37.4s
        test device: cpu, eltype: Float32                                                 |   36            36     18.0s
        test device: jl, eltype: Float64                                                  |   12      2     14     15.8s
          Dense * Combiner                                                                |   12            12      6.0s
          BlockSparse * Combiner                                                          |           1      1      7.5s
          BlockSparse * Combiner                                                          |           1      1      2.4s
        test device: jl, eltype: Float32                                                  |   12      2     14     12.4s
          Dense * Combiner                                                                |   12            12      3.6s
          BlockSparse * Combiner                                                          |           1      1      6.5s
          BlockSparse * Combiner                                                          |           1      1      2.3s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_dense.jl                 |  538      4    542   3m26.0s
      Dense Tensors                                                                       |  538      4    542   3m25.5s
        test device: cpu                                                                  |  260           260     27.5s
        test device: jl                                                                   |  255      3    258   1m06.8s
          DenseTensor basic functionality                                                 |  116      1    117     27.4s
          Random constructor                                                              |    8             8      6.3s
          Complex Valued Tensors                                                          |   72            72      2.4s
          Custom inds types                                                               |   21            21      1.1s
          generic contraction                                                             |   36            36      0.0s
          Contraction with size 1 block and NaN                                           |    2      2      4     29.7s
            No permutation                                                                |    1      1      2     29.6s
            Permutation                                                                   |    1      1      2      0.1s
        Contract with exotic types                                                        |   14            14     17.3s
        change backends                                                                   |    6             6      1.5s
        change backends                                                                   |    3      1      4   1m32.0s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diag.jl                  |  254     12    266   5m33.7s
      DiagTensor basic functionality                                                      |  240      8    248   5m01.2s
        test device: cpu                                                                  |   31            31     24.8s
        test device: cpu                                                                  |   31            31     23.0s
        test device: cpu                                                                  |   31            31     19.9s
        test device: cpu                                                                  |   31            31     19.3s
        test device: jl                                                                   |   29      2     31     55.7s
        test device: jl                                                                   |   29      2     31   1m07.5s
        test device: jl                                                                   |   29      2     31     53.7s
        test device: jl                                                                   |   29      2     31     37.1s
      DiagTensor contractions                                                             |    9             9     10.5s
      DiagTensor contractions                                                             |    5      4      9     20.5s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_diagblocksparse.jl       |   28      1     29   1m18.8s
      UniformDiagBlockSparseTensor basic functionality                                    |   10            10      1.1s
      DiagBlockSparse off-diagonal (eltype=Float32)                                       |    2             2     12.9s
      DiagBlockSparse off-diagonal (eltype=Float64)                                       |    2             2     10.0s
      DiagBlockSparse off-diagonal (eltype=ComplexF32)                                    |    2             2     13.6s
      DiagBlockSparse off-diagonal (eltype=ComplexF64)                                    |    2             2     13.4s
      DiagBlockSparse contract                                                            |    6             6      9.1s
      DiagBlockSparse contract                                                            |           1      1      5.9s
      UniformDiagBlockSparse norm                                                         |    2             2      0.0s
      DiagBlockSparse denseblocks                                                         |    2             2      0.3s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_emptynumber.jl           |   28            28      0.6s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_emptystorage.jl          |   24            24      2.5s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_linearalgebra.jl         |  230     32    262     57.4s
      random_orthog                                                                       |    3             3      1.6s
      random_unitary                                                                      |    3             3      1.7s
      QX testing                                                                          |  224     32    256     51.9s
        Dense qr decomposition, elt=Float64, positve=false, singular=false, device=cpu    |    5             5      1.4s
        Dense qr decomposition, elt=Float64, positve=false, singular=false, device=jl     |           1      1      7.2s
        Dense qr decomposition, elt=Float64, positve=false, singular=true, device=cpu     |    5             5      0.4s
        Dense qr decomposition, elt=Float64, positve=false, singular=true, device=jl      |           1      1      0.8s
        Dense qr decomposition, elt=Float64, positve=true, singular=false, device=cpu     |    9             9      2.0s
        Dense qr decomposition, elt=Float64, positve=true, singular=false, device=jl      |           1      1      0.1s
        Dense qr decomposition, elt=Float64, positve=true, singular=true, device=cpu      |    9             9      0.0s
        Dense qr decomposition, elt=Float64, positve=true, singular=true, device=jl       |           1      1      0.1s
        Dense qr decomposition, elt=ComplexF64, positve=false, singular=false, device=cpu |    5             5      2.0s
        Dense qr decomposition, elt=ComplexF64, positve=false, singular=false, device=jl  |           1      1      4.2s
        Dense qr decomposition, elt=ComplexF64, positve=false, singular=true, device=cpu  |    5             5      0.4s
        Dense qr decomposition, elt=ComplexF64, positve=false, singular=true, device=jl   |           1      1      0.7s
        Dense qr decomposition, elt=ComplexF64, positve=true, singular=false, device=cpu  |    9             9      1.2s
        Dense qr decomposition, elt=ComplexF64, positve=true, singular=false, device=jl   |           1      1      0.2s
        Dense qr decomposition, elt=ComplexF64, positve=true, singular=true, device=cpu   |    9             9      0.0s
        Dense qr decomposition, elt=ComplexF64, positve=true, singular=true, device=jl    |           1      1      0.2s
        Dense qr decomposition, elt=Float32, positve=false, singular=false, device=cpu    |    5             5      2.4s
        Dense qr decomposition, elt=Float32, positve=false, singular=false, device=jl     |           1      1      1.6s
        Dense qr decomposition, elt=Float32, positve=false, singular=true, device=cpu     |    5             5      0.4s
        Dense qr decomposition, elt=Float32, positve=false, singular=true, device=jl      |           1      1      0.7s
        Dense qr decomposition, elt=Float32, positve=true, singular=false, device=cpu     |    9             9      1.8s
        Dense qr decomposition, elt=Float32, positve=true, singular=false, device=jl      |           1      1      0.1s
        Dense qr decomposition, elt=Float32, positve=true, singular=true, device=cpu      |    9             9      0.0s
        Dense qr decomposition, elt=Float32, positve=true, singular=true, device=jl       |           1      1      0.1s
        Dense qr decomposition, elt=ComplexF32, positve=false, singular=false, device=cpu |    5             5      3.0s
        Dense qr decomposition, elt=ComplexF32, positve=false, singular=false, device=jl  |           1      1      2.9s
        Dense qr decomposition, elt=ComplexF32, positve=false, singular=true, device=cpu  |    5             5      0.4s
        Dense qr decomposition, elt=ComplexF32, positve=false, singular=true, device=jl   |           1      1      0.8s
        Dense qr decomposition, elt=ComplexF32, positve=true, singular=false, device=cpu  |    9             9      1.5s
        Dense qr decomposition, elt=ComplexF32, positve=true, singular=false, device=jl   |           1      1      0.2s
        Dense qr decomposition, elt=ComplexF32, positve=true, singular=true, device=cpu   |    9             9      0.0s
        Dense qr decomposition, elt=ComplexF32, positve=true, singular=true, device=jl    |           1      1      0.2s
        Dense ql decomposition, elt=Float64, positve=false, singular=false, device=cpu    |    5             5      1.1s
        Dense ql decomposition, elt=Float64, positve=false, singular=false, device=jl     |           1      1      2.4s
        Dense ql decomposition, elt=Float64, positve=false, singular=true, device=cpu     |    5             5      0.0s
        Dense ql decomposition, elt=Float64, positve=false, singular=true, device=jl      |           1      1      0.0s
        Dense ql decomposition, elt=Float64, positve=true, singular=false, device=cpu     |    9             9      0.0s
        Dense ql decomposition, elt=Float64, positve=true, singular=false, device=jl      |           1      1      0.0s
        Dense ql decomposition, elt=Float64, positve=true, singular=true, device=cpu      |    9             9      0.0s
        Dense ql decomposition, elt=Float64, positve=true, singular=true, device=jl       |           1      1      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=false, singular=false, device=cpu |    5             5      1.1s
        Dense ql decomposition, elt=ComplexF64, positve=false, singular=false, device=jl  |           1      1      2.4s
        Dense ql decomposition, elt=ComplexF64, positve=false, singular=true, device=cpu  |    5             5      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=false, singular=true, device=jl   |           1      1      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=true, singular=false, device=cpu  |    9             9      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=true, singular=false, device=jl   |           1      1      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=true, singular=true, device=cpu   |    9             9      0.0s
        Dense ql decomposition, elt=ComplexF64, positve=true, singular=true, device=jl    |           1      1      0.0s
        Dense ql decomposition, elt=Float32, positve=false, singular=false, device=cpu    |    5             5      1.1s
        Dense ql decomposition, elt=Float32, positve=false, singular=false, device=jl     |           1      1      2.3s
        Dense ql decomposition, elt=Float32, positve=false, singular=true, device=cpu     |    5             5      0.0s
        Dense ql decomposition, elt=Float32, positve=false, singular=true, device=jl      |           1      1      0.0s
        Dense ql decomposition, elt=Float32, positve=true, singular=false, device=cpu     |    9             9      0.0s
        Dense ql decomposition, elt=Float32, positve=true, singular=false, device=jl      |           1      1      0.0s
        Dense ql decomposition, elt=Float32, positve=true, singular=true, device=cpu      |    9             9      0.0s
        Dense ql decomposition, elt=Float32, positve=true, singular=true, device=jl       |           1      1      0.0s
        Dense ql decomposition, elt=ComplexF32, positve=false, singular=false, device=cpu |    5             5      1.2s
        Dense ql decomposition, elt=ComplexF32, positve=false, singular=false, device=jl  |           1      1      2.5s
        Dense ql decomposition, elt=ComplexF32, positve=false, singular=true, device=cpu  |    5             5      0.0s
        Dense ql decomposition, elt=ComplexF32, positve=false, singular=true, device=jl   |           1      1      0.1s
        Dense ql decomposition, elt=ComplexF32, positve=true, singular=false, device=cpu  |    9             9      0.0s
        Dense ql decomposition, elt=ComplexF32, positve=true, singular=false, device=jl   |           1      1      0.0s
        Dense ql decomposition, elt=ComplexF32, positve=true, singular=true, device=cpu   |    9             9      0.0s
        Dense ql decomposition, elt=ComplexF32, positve=true, singular=true, device=jl    |           1      1      0.1s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/test_tupletools.jl            |    7             7      0.2s
    Test /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/lib/runtests.jl               |  172      2    174     47.7s
      Test NDTensors lib AMDGPUExtensions                                                 |    2             2      0.1s
      Test NDTensors lib BackendSelection                                                 |   12            12      0.8s
      Test NDTensors lib CUDAExtensions                                                   |    2             2      0.0s
      Test NDTensors lib GPUArraysCoreExtensions                                          |    1             1      0.0s
      Test NDTensors lib MetalExtensions                                                  |    1             1      0.0s
      Test NDTensors lib Expose                                                           |  154      2    156     46.5s
        Testing Expose cpu, Float32                                                       |   64            64     19.4s
        Testing Expose cpu, ComplexF32                                                    |   64            64     15.1s
        Testing Expose jl, Float32                                                        |   13      1     14      3.1s
        Testing Expose jl, ComplexF32                                                     |   13      1     14      2.3s
RNG of the outermost testset: Random.Xoshiro(0xf9a4fa247803cffd, 0x4cb907c29a66e6e0, 0x7994ccb83a145381, 0xe9f407684a74fc36, 0xa56444df72d10b9c)
ERROR: LoadError: Some tests did not pass: 1952 passed, 0 failed, 67 errored, 0 broken.
in expression starting at /home/pkgeval/.julia/packages/NDTensors/Lb78J/test/runtests.jl:3

Testing failed after 1082.09s

ERROR: LoadError: Package NDTensors errored during testing
Stacktrace:
  [1] pkgerror(msg::String)
    @ Pkg.Types /opt/julia/share/julia/stdlib/v1.13/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/v1.13/Pkg/src/Operations.jl:2673
  [3] test
    @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/Operations.jl:2522 [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/v1.13/Pkg/src/API.jl:538
  [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:515
  [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:168
  [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:157
  [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd})
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156
  [9] test
    @ /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:156 [inlined]
 [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String)
    @ Pkg.API /opt/julia/share/julia/stdlib/v1.13/Pkg/src/API.jl:155
 [11] top-level scope
    @ /PkgEval.jl/scripts/evaluate.jl:219
 [12] include(mod::Module, _path::String)
    @ Base ./Base.jl:308
 [13] exec_options(opts::Base.JLOptions)
    @ Base ./client.jl:330
 [14] _start()
    @ Base ./client.jl:563
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210

PkgEval failed after 1323.23s: package fails to precompile