Package evaluation to test ITensorTDVP on Julia 1.14.0-DEV.1367 (f40b117265*) started at 2025-12-14T20:06:05.474 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 9.14s ################################################################################ # Installation # Installing ITensorTDVP... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [25707e16] + ITensorTDVP v0.4.10 Updating `~/.julia/environments/v1.14/Manifest.toml` [7d9f7c33] + Accessors v0.1.43 [79e6a3ab] + Adapt v4.4.0 [dce04be8] + ArgCheck v2.5.0 [4fba245c] + ArrayInterface v7.22.0 [4c555306] + ArrayLayouts v1.12.2 [198e06fe] + BangBang v0.4.6 [9718e550] + Baselet v0.1.1 [c3b6d118] + BitIntegers v0.3.6 [8e7c35d0] + BlockArrays v1.9.3 [d360d2e6] + ChainRulesCore v1.26.0 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.1 [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 v0.4.6 [ffbed154] + DocStringExtensions v0.9.5 [da5c29d0] + EllipsisNotation v1.8.0 [e2ba6199] + ExprTools v0.1.10 [e189563c] + ExternalDocstrings v0.1.1 [1a297f60] + FillArrays v1.15.0 [41a02a25] + Folds v0.2.10 ⌅ [d9f16b24] + Functors v0.4.12 [f0d1745a] + HalfIntegers v1.6.0 [25707e16] + ITensorTDVP v0.4.10 ⌅ [9136182c] + ITensors v0.6.23 [615f187c] + IfElse v0.1.1 [313cdc1a] + Indexing v1.1.1 [22cec73e] + InitialValues v0.3.1 [842dd82b] + InlineStrings v1.4.5 [3587e190] + InverseFunctions v0.1.17 [28f27b66] + IsApprox v2.0.0 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [0b1a1467] + KrylovKit v0.8.3 [7a12625a] + LinearMaps v3.11.4 [1914dd2f] + MacroTools v0.5.16 [128add7d] + MicroCollections v0.2.0 ⌅ [23ae76d9] + NDTensors v0.3.74 [bac558e1] + OrderedCollections v1.8.1 [65ce6f38] + PackageExtensionCompat v1.0.2 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [42d2dcc6] + Referenceables v0.1.3 [ae029012] + Requires v1.3.1 [431bcebd] + SciMLPublic v1.0.0 [d3ce8812] + SerializedElementArrays v0.1.0 [efcf1570] + Setfield v1.1.2 [699a6c99] + SimpleTraits v0.9.5 [03a91e81] + SplitApplyCombine v1.2.3 [171d559e] + SplittablesBase v0.1.15 [aedffcd0] + Static v1.3.1 [0d7ed370] + StaticArrayInterface v1.8.0 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.4 [5e0ebb24] + Strided v2.3.2 ⌅ [4db3bf67] + StridedViews v0.3.2 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [24d252fe] + ThreadedScans v0.1.0 [a759f4b9] + TimerOutputs v0.5.29 [28d57a85] + Transducers v0.4.85 [9d95972d] + TupleTools v1.6.0 ⌅ [409d34a3] + VectorInterface v0.4.9 ⌅ [bd1ec220] + Zeros v0.3.0 [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 v1.13.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.0.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.17.0+0 [e37daf67] + LibGit2_jll v1.9.2+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.12.2 [4536629a] + OpenBLAS_jll v0.3.29+0 [458c3c95] + OpenSSL_jll v3.5.4+0 [efcefdf7] + PCRE2_jll v10.47.0+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 v5.15.0+0 [8e850ede] + nghttp2_jll v1.68.0+1 [3f19e933] + p7zip_jll v17.7.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 3.95s ################################################################################ # Precompilation # ERROR: LoadError: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Nothing) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:10 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:577 in expression starting at /PkgEval.jl/scripts/precompile.jl:6 caused by: MethodError: no method matching setindex!(::Base.ScopedValues.ScopedValue{IO}, ::Base.DevNull) The function `setindex!` exists, but no method is defined for this combination of argument types. Stacktrace: [1] top-level scope @ /PkgEval.jl/scripts/precompile.jl:7 [2] include(mod::Module, _path::String) @ Base ./Base.jl:309 [3] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [4] _start() @ Base ./client.jl:577 Precompilation failed after 13.4s ################################################################################ # Testing # Testing ITensorTDVP Status `/tmp/jl_lXcCMH/Project.toml` [34da2185] Compat v4.18.1 [25707e16] ITensorTDVP v0.4.10 ⌅ [9136182c] ITensors v0.6.23 ⌅ [0b1a1467] KrylovKit v0.8.3 [338f10d5] Observers v0.2.5 [b1df2697] OrdinaryDiffEqTsit5 v1.6.0 [860ef19b] StableRNGs v1.0.4 [fd094767] Suppressor v0.2.8 [37e2e46d] LinearAlgebra v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_lXcCMH/Manifest.toml` [47edcb42] ADTypes v1.20.0 [7d9f7c33] Accessors v0.1.43 [79e6a3ab] Adapt v4.4.0 [dce04be8] ArgCheck v2.5.0 [4fba245c] ArrayInterface v7.22.0 [4c555306] ArrayLayouts v1.12.2 [198e06fe] BangBang v0.4.6 [9718e550] Baselet v0.1.1 [c3b6d118] BitIntegers v0.3.6 [62783981] BitTwiddlingConvenienceFunctions v0.1.6 [8e7c35d0] BlockArrays v1.9.3 [2a0fbf3d] CPUSummary v0.2.7 [d360d2e6] ChainRulesCore v1.26.0 [fb6a15b2] CloseOpenIntervals v0.1.13 [38540f10] CommonSolve v0.2.4 [f70d9fcc] CommonWorldInvalidations v1.0.0 [34da2185] Compat v4.18.1 [a33af91c] CompositionsBase v0.1.2 [2569d6c7] ConcreteStructs v0.2.3 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.1 [864edb3b] DataStructures v0.19.3 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [85a47980] Dictionaries v0.4.6 [2b5f629d] DiffEqBase v6.192.0 [ffbed154] DocStringExtensions v0.9.5 [da5c29d0] EllipsisNotation v1.8.0 [4e289a0a] EnumX v1.0.5 [f151be2c] EnzymeCore v0.8.17 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [e189563c] ExternalDocstrings v0.1.1 [7034ab61] FastBroadcast v0.3.5 [9aa1b823] FastClosures v0.3.2 [a4df4552] FastPower v1.2.0 [1a297f60] FillArrays v1.15.0 [41a02a25] Folds v0.2.10 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 ⌅ [d9f16b24] Functors v0.4.12 ⌃ [46192b85] GPUArraysCore v0.1.6 [f0d1745a] HalfIntegers v1.6.0 [25707e16] ITensorTDVP v0.4.10 ⌅ [9136182c] ITensors v0.6.23 [615f187c] IfElse v0.1.1 [313cdc1a] Indexing v1.1.1 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [28f27b66] IsApprox v2.0.0 [82899510] IteratorInterfaceExtensions v1.0.0 [ae98c720] Jieko v0.2.1 ⌅ [0b1a1467] KrylovKit v0.8.3 [b964fa9f] LaTeXStrings v1.4.0 [10f19ff3] LayoutPointers v0.1.17 [7a12625a] LinearMaps v3.11.4 [e6f89c97] LoggingExtras v1.2.0 [1914dd2f] MacroTools v0.5.16 [d125e4d3] ManualMemory v0.1.8 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [2e0e35c7] Moshi v0.3.7 [46d2c3a1] MuladdMacro v0.2.4 ⌅ [23ae76d9] NDTensors v0.3.74 [338f10d5] Observers v0.2.5 [bac558e1] OrderedCollections v1.8.1 [bbf590c4] OrdinaryDiffEqCore v2.0.0 [b1df2697] OrdinaryDiffEqTsit5 v1.6.0 [65ce6f38] PackageExtensionCompat v1.0.2 [f517fe37] Polyester v0.7.18 [1d0040c9] PolyesterWeave v0.2.2 [2dfb63ee] PooledArrays v1.4.3 [d236fae5] PreallocationTools v0.4.34 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [08abe8d2] PrettyTables v3.1.2 [3cdcf5f2] RecipesBase v1.3.4 ⌃ [731186ca] RecursiveArrayTools v3.36.0 [189a3867] Reexport v1.2.2 [42d2dcc6] Referenceables v0.1.3 [ae029012] Requires v1.3.1 [7e49a35a] RuntimeGeneratedFunctions v0.5.16 [94e857df] SIMDTypes v0.1.0 [0bca4576] SciMLBase v2.128.0 [a6db7da4] SciMLLogging v1.7.1 [c0aeaf25] SciMLOperators v1.14.0 [431bcebd] SciMLPublic v1.0.0 [53ae85a6] SciMLStructures v1.7.0 [91c51154] SentinelArrays v1.4.8 [d3ce8812] SerializedElementArrays v0.1.0 [efcf1570] Setfield v1.1.2 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [03a91e81] SplitApplyCombine v1.2.3 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.4 [aedffcd0] Static v1.3.1 [0d7ed370] StaticArrayInterface v1.8.0 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.4 [10745b16] Statistics v1.11.1 [7792a7ef] StrideArraysCore v0.5.8 [5e0ebb24] Strided v2.3.2 ⌅ [4db3bf67] StridedViews v0.3.2 [892a3eda] StringManipulation v0.4.2 [fd094767] Suppressor v0.2.8 [2efcf032] SymbolicIndexingInterface v0.3.46 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [24d252fe] ThreadedScans v0.1.0 [8290d209] ThreadingUtilities v0.5.5 [a759f4b9] TimerOutputs v0.5.29 [28d57a85] Transducers v0.4.85 [781d530d] TruncatedStacktraces v1.4.0 [9d95972d] TupleTools v1.6.0 ⌅ [409d34a3] VectorInterface v0.4.9 ⌅ [bd1ec220] Zeros v0.3.0 [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 v1.13.0 [b27032c2] LibCURL v1.0.0 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.14.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v1.0.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.13.0 [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.17.0+0 [e37daf67] LibGit2_jll v1.9.2+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.12.2 [4536629a] OpenBLAS_jll v0.3.29+0 [458c3c95] OpenSSL_jll v3.5.4+0 [efcefdf7] PCRE2_jll v10.47.0+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 v5.15.0+0 [8e850ede] nghttp2_jll v1.68.0+1 [3f19e933] p7zip_jll v17.7.0+0 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import.  NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`.  Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. WARNING: Constructor for type "Tensor" was extended in `ITensors` without explicit qualification or import.  NOTE: Assumed "Tensor" refers to `NDTensors.Tensor`. 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 Tensor end`.  Hint: To silence the warning, qualify `Tensor` as `NDTensors.Tensor` in the method signature or explicitly `import NDTensors: Tensor`. 2 dependencies had output during precompilation: ┌ ITensors │ WARNING: Constructor for type "Tensor" was extended in `ITensors` without explicit qualification or import. │ NOTE: Assumed "Tensor" refers to `NDTensors.Tensor`. 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 Tensor end`. │ Hint: To silence the warning, qualify `Tensor` as `NDTensors.Tensor` in the method signature or explicitly `import NDTensors: Tensor`. └ ┌ NDTensors │ WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import. │ NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`. │ Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. └ ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for ITensorTDVP [25707e16-a4db-4a07-99d9-4d67b7af0342] │ exception = Required dependency Base.PkgId(Base.UUID("c3b6d118-76ef-56ca-8cc7-ebb389d030a1"), "BitIntegers") failed to load from a cache file. └ @ Base loading.jl:2891 WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import.  NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`.  Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. WARNING: Constructor for type "Tensor" was extended in `ITensors` without explicit qualification or import.  NOTE: Assumed "Tensor" refers to `NDTensors.Tensor`. 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 Tensor end`.  Hint: To silence the warning, qualify `Tensor` as `NDTensors.Tensor` in the method signature or explicitly `import NDTensors: Tensor`. 2 dependencies had output during precompilation: ┌ ITensors │ [Output was shown above] └ ┌ NDTensors │ WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import. │ NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`. │ Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. └ ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for ITensors [9136182c-28ba-11e9-034c-db9fb085ebd5] │ exception = Required dependency Base.PkgId(Base.UUID("c3b6d118-76ef-56ca-8cc7-ebb389d030a1"), "BitIntegers") failed to load from a cache file. └ @ Base loading.jl:2891 WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import.  NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`.  Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. 1 dependency had output during precompilation: ┌ NDTensors │ [Output was shown above] └ ┌ Warning: The call to compilecache failed to create a usable precompiled cache file for NDTensors [23ae76d9-e61a-49c4-8f12-3f1a16adf9cf] │ exception = Required dependency Base.PkgId(Base.UUID("efcf1570-3423-57d1-acb7-fd33fddbac46"), "Setfield") failed to load from a cache file. └ @ Base loading.jl:2891 WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import. NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`. Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. WARNING: Constructor for type "Tensor" was extended in `ITensors` without explicit qualification or import. NOTE: Assumed "Tensor" refers to `NDTensors.Tensor`. 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 Tensor end`. Hint: To silence the warning, qualify `Tensor` as `NDTensors.Tensor` in the method signature or explicitly `import NDTensors: Tensor`. WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import.  NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`.  Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"), "NDTensors") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=0, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2813  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2665  [4] macro expansion  @ ./loading.jl:2593 [inlined]  [5] macro expansion  @ ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2557  [7] require  @ ./loading.jl:2533 [inlined]  [8] eval_import_path  @ ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_using  @ ./module.jl:137 [inlined]  [11] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [12] top-level scope  @ ~/.julia/packages/ITensors/AbUYR/src/usings.jl:14  [13] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:310  [14] top-level scope  @ ~/.julia/packages/ITensors/AbUYR/src/ITensors.jl:52  [15] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [16] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3250  [17] top-level scope  @ stdin:5  [18] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [19] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3092  [20] include_string  @ ./loading.jl:3102 [inlined]  [21] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [22] _start()  @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/src/usings.jl:14 in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/src/ITensors.jl:1 in expression starting at stdin:5 ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("9136182c-28ba-11e9-034c-db9fb085ebd5"), "ITensors") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=0, inline=true, opt_level=0) Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2813  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2665  [4] macro expansion  @ ./loading.jl:2593 [inlined]  [5] macro expansion  @ ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2557  [7] require  @ ./loading.jl:2533 [inlined]  [8] eval_import_path  @ ./module.jl:36 [inlined]  [9] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [10] _eval_import(::Bool, ::Module, ::Expr, ::Expr, ::Vararg{Expr})  @ Base ./module.jl:101  [11] top-level scope  @ ~/.julia/packages/ITensors/AbUYR/ext/ITensorsVectorInterfaceExt/ITensorsVectorInterfaceExt.jl:2  [12] include(mod::Module, _path::String)  @ Base ./Base.jl:309  [13] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3250  [14] top-level scope  @ stdin:5  [15] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [16] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:3092  [17] include_string  @ ./loading.jl:3102 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [19] _start()  @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/ext/ITensorsVectorInterfaceExt/ITensorsVectorInterfaceExt.jl:1 in expression starting at stdin:5 3 dependencies had output during precompilation: ┌ ITensors → ITensorsVectorInterfaceExt │ [Output was shown above] └ ┌ ITensors │ ERROR: LoadError: Precompiled image Base.PkgId(Base.UUID("23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"), "NDTensors") not available with flags CacheFlags(; use_pkgimages=false, debug_level=1, check_bounds=0, inline=true, opt_level=0) │ Stacktrace: │ [1] error(s::String) │ @ Base ./error.jl:44 │ [2] __require_prelocked(pkg::Base.PkgId, env::String) │ @ Base ./loading.jl:2813 │ [3] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2665 │ [4] macro expansion │ @ ./loading.jl:2593 [inlined] │ [5] macro expansion │ @ ./lock.jl:376 [inlined] │ [6] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2557 │ [7] require │ @ ./loading.jl:2533 [inlined] │ [8] eval_import_path │ @ ./module.jl:36 [inlined] │ [9] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [10] _eval_using │ @ ./module.jl:137 [inlined] │ [11] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [12] top-level scope │ @ ~/.julia/packages/ITensors/AbUYR/src/usings.jl:14 │ [13] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:310 │ [14] top-level scope │ @ ~/.julia/packages/ITensors/AbUYR/src/ITensors.jl:52 │ [15] include(mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [16] include_package_for_output(pkg::Base.PkgId, input::String, syntax_version::VersionNumber, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) │ @ Base ./loading.jl:3250 │ [17] top-level scope │ @ stdin:5 │ [18] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [19] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) │ @ Base ./loading.jl:3092 │ [20] include_string │ @ ./loading.jl:3102 [inlined] │ [21] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:342 │ [22] _start() │ @ Base ./client.jl:577 │ in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/src/usings.jl:14 │ in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/src/ITensors.jl:1 │ in expression starting at stdin:5 └ ┌ NDTensors │ WARNING: Constructor for type "AbstractFloat" was extended in `UnspecifiedTypes` without explicit qualification or import. │ NOTE: Assumed "AbstractFloat" refers to `Base.AbstractFloat`. 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 AbstractFloat end`. │ Hint: To silence the warning, qualify `AbstractFloat` as `Base.AbstractFloat` in the method signature or explicitly `import Base: AbstractFloat`. └ ┌ Error: Error during loading of extension ITensorsVectorInterfaceExt of ITensors, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 2 packages failed to precompile: │ │ ITensorsVectorInterfaceExt │ Failed to precompile ITensorsVectorInterfaceExt [8b35048b-b2ee-5c30-b570-d9b657d1dd5a] to "/home/pkgeval/.julia/compiled/v1.14/ITensorsVectorInterfaceExt/jl_iC95Iq" (ProcessExited(1)). │ │ ITensors │ Failed to precompile ITensors [9136182c-28ba-11e9-034c-db9fb085ebd5] to "/home/pkgeval/.julia/compiled/v1.14/ITensors/jl_J7Mr4a" (ProcessExited(1)). │ └ @ Base loading.jl:1721 WARNING: Imported binding ITensors.array was undeclared at import time during import to ITensorsExtensions. WARNING: Imported binding ITensors.inds was undeclared at import time during import to ITensorsExtensions. Running test_contract.jl 948.287453 seconds (594.72 M allocations: 32.951 GiB, 1.66% gc time, 99.06% compilation time: <1% of which was recompilation) Running test_dmrg.jl ┌ Warning: The function `inner` is not implemented for (values of) type `Tuple{ITensors.ITensor, ITensors.ITensor}`; │ this fallback will disappear in future versions of VectorInterface.jl └ @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:196 ┌ Warning: The function `zerovector` is not implemented for (values of) type `Tuple{ITensors.ITensor, Float32}`; │ this fallback will disappear in future versions of VectorInterface.jl └ @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:33 ┌ Warning: The function `zerovector!` is not implemented for (values of) type `ITensors.ITensor`; │ this fallback will disappear in future versions of VectorInterface.jl └ @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:42 ┌ Warning: The function `add!!` is not implemented for (values of) type `Tuple{ITensors.ITensor, ITensors.ITensor, Float32, VectorInterface.One}`; │ this fallback will disappear in future versions of VectorInterface.jl └ @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:163 ┌ Warning: The function `scalartype` is not implemented for (values of) type `ITensors.ITensor`; │ this fallback will disappear in future versions of VectorInterface.jl └ @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:20 DMRG (eltype=Float32, nsite=1, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float32, nsite=1, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float32, nsite=2, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float32, nsite=2, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float64, nsite=1, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float64, nsite=1, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float64, nsite=2, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=Float64, nsite=2, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF32, nsite=1, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF32, nsite=1, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF32, nsite=2, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF32, nsite=2, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF64, nsite=1, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF64, nsite=1, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:248 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{1}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:220 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF64, nsite=2, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 DMRG (eltype=ComplexF64, nsite=2, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:6 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float64) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, krylovdim::Int64, maxiter::Int64}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, nsite::Int64, updater_kwargs::@NamedTuple{krylovdim::Int64, maxiter::Int64}}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_dmrg.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:730 [inlined] [36] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [37] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [40] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [43] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [47] _start() @ Base ./client.jl:577 51.720316 seconds (32.93 M allocations: 1.933 GiB, 1.44% gc time, 95.17% compilation time) Running test_dmrg_x.jl 590.875540 seconds (271.78 M allocations: 17.646 GiB, 1.47% gc time, 97.54% compilation time) Running test_examples.jl Running example file 01_tdvp.jl Running example file 01_tdvp.jl: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 Got exception outside of a @test LoadError: ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPO, t::Float64, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::Float64, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::Float64, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPO, t::Float64, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::Float64, time_step::Float64, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [14] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [15] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float64, time_step::Float64, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [16] kwcall(::@NamedTuple{current_time::Float64, time_step::Float64, updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [17] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Float64, time_step::Float64, kwargs::@Kwargs{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, current_time::Float64, time_step::Float64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [19] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [20] macro expansion @ ./timing.jl:502 [inlined] [21] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float64, time_step::Float64, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, maxdim::Int64, cutoff::Float64, normalize::Bool, outputlevel::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [23] tdvp(operator::ITensors.ITensorMPS.MPO, t::Float64, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float64, time_start::Float64, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{maxdim::Int64, cutoff::Float64, normalize::Bool, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [24] tdvp @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [inlined] [25] main() @ Main.var"##146".var"##323" ~/.julia/packages/ITensorTDVP/O4qn7/examples/01_tdvp.jl:23 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/examples/01_tdvp.jl:42 [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] macro expansion @ ~/.julia/packages/Suppressor/cKnGx/src/Suppressor.jl:28 [inlined] [29] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:12 [inlined] [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 [inlined] [32] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:6 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:1 [36] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [37] macro expansion @ ./timing.jl:730 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [40] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [41] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [43] eval(m::Module, e::Any) @ Core ./boot.jl:489 [44] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [45] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [49] _start() @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/examples/01_tdvp.jl:42 Running example file 02_dmrg-x.jl Running example file 03_tdvp_time_dependent.jl Running example file 03_tdvp_time_dependent.jl: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 Got exception outside of a @test LoadError: ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensorTDVP.ScaledSum{Tuple{ComplexF64, ComplexF64}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float64, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensorTDVP.ScaledSum{Tuple{ComplexF64, ComplexF64}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float64, ::ITensors.ITensor; kwargs::@Kwargs{tol::Float64, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float64, eager::Bool}, ::typeof(KrylovKit.expintegrator), ::ITensorTDVP.ScaledSum{Tuple{ComplexF64, ComplexF64}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float64, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensorTDVP.ScaledSum{Tuple{ComplexF64, ComplexF64}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float64, v::ITensors.ITensor; kwargs::@Kwargs{tol::Float64, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float64, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensorTDVP.ScaledSum{Tuple{ComplexF64, ComplexF64}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] krylov_updater(operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, kwargs::@Kwargs{tol::Float64, eager::Bool}) @ Main.var"##146".var"##323" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:21 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, tol::Float64, eager::Bool}, ::typeof(Main.var"##146".var"##323".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##323" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:19 [12] region_update!(nsite_val::Val{2}, reverse_step_val::Val{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, current_time::Float64, time_step::Float64, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:418 [13] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:390 [14] region_update!(reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [15] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float64, outputlevel::Int64, time_step::Float64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float64, time_step::Float64, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [17] kwcall(::@NamedTuple{current_time::Float64, time_step::Float64, updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [18] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; current_time::Float64, time_step::Float64, kwargs::@Kwargs{updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [19] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##323".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsite::Int64, current_time::Float64, time_step::Float64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float64, time_step::Float64, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [23] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##323".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, cutoff::Float64, nsite::Int64, outputlevel::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [24] tdvp(operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##323".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float64, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float64, time_start::Float64, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, cutoff::Float64, nsite::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] tdvp @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [inlined] [26] main() @ Main.var"##146".var"##323" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_tdvp_time_dependent.jl:109 [27] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_tdvp_time_dependent.jl:154 [28] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [29] macro expansion @ ~/.julia/packages/Suppressor/cKnGx/src/Suppressor.jl:28 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:12 [inlined] [31] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [34] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:6 [35] eval(m::Module, e::Any) @ Core ./boot.jl:489 [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:1 [37] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [38] macro expansion @ ./timing.jl:730 [inlined] [39] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [40] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [41] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [42] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [43] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [46] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [47] top-level scope @ none:6 [48] eval(m::Module, e::Any) @ Core ./boot.jl:489 [49] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [50] _start() @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/examples/03_tdvp_time_dependent.jl:154 Running example file 04_tdvp_observers.jl Running example file 04_tdvp_observers.jl: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 Got exception outside of a @test LoadError: ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF64, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::ComplexF64, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::ComplexF64, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF64, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{2}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:418 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF64, outputlevel::Int64, time_step::ComplexF64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:390 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF64, outputlevel::Int64, time_step::ComplexF64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [14] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF64, outputlevel::Int64, time_step::ComplexF64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Int64, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float64, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [15] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::ComplexF64, time_step::ComplexF64, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [16] kwcall(::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [17] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::ComplexF64, time_step::ComplexF64, kwargs::@Kwargs{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, current_time::ComplexF64, time_step::ComplexF64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [19] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [20] macro expansion @ ./timing.jl:502 [inlined] [21] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::ComplexF64, time_step::ComplexF64, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::DataFrames.DataFrame, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float64, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [22] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [23] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [24] tdvp @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [inlined] [25] main() @ Main.var"##146".var"##323" ~/.julia/packages/ITensorTDVP/O4qn7/examples/04_tdvp_observers.jl:29 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/examples/04_tdvp_observers.jl:46 [27] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [28] macro expansion @ ~/.julia/packages/Suppressor/cKnGx/src/Suppressor.jl:28 [inlined] [29] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:12 [inlined] [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:10 [inlined] [32] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:6 [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_examples.jl:1 [36] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [37] macro expansion @ ./timing.jl:730 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [40] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [41] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [43] eval(m::Module, e::Any) @ Core ./boot.jl:489 [44] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [45] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [49] _start() @ Base ./client.jl:577 in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/examples/04_tdvp_observers.jl:46 392.790887 seconds (113.57 M allocations: 9.468 GiB, 1.45% gc time, 37.43% compilation time: 58% of which was recompilation) Running test_expand.jl Decoupled ladder (alg="global_krylov", eltype=Float32): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:44 Got exception outside of a @test ArgumentError: No fallback for applying `scalartype` to (values of) type `Any` could be determined Stacktrace: [1] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:24 [2] scalartype(T::Type) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:25 [3] scalartype(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:17 [4] promote_add(x::ITensors.ITensor, y::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/VectorInterface.jl:27 [5] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32, β::VectorInterface.One) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/fallbacks.jl:175 [6] add!!(y::ITensors.ITensor, x::ITensors.ITensor, α::Float32) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:141 [7] initialize(iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}; verbosity::Int64) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:184 [8] kwcall(::@NamedTuple{verbosity::Int64}, ::typeof(KrylovKit.initialize), iter::KrylovKit.LanczosIterator{ITensors.ITensorMPS.ProjMPO, ITensors.ITensor, KrylovKit.ModifiedGramSchmidt2}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/factorizations/lanczos.jl:175 [9] eigsolve(A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}; alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:16 [10] kwcall(::@NamedTuple{alg_rrule::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}}, ::typeof(KrylovKit.eigsolve), A::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol, alg::KrylovKit.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/lanczos.jl:1 [11] eigsolve(f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol; kwargs::@Kwargs{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:219 [12] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64}, ::typeof(KrylovKit.eigsolve), f::ITensors.ITensorMPS.ProjMPO, x₀::ITensors.ITensor, howmany::Int64, which::Symbol) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/eigsolve/eigsolve.jl:193 [13] eigsolve_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}, which_eigval::Symbol, ishermitian::Bool, tol::Float32, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:18 [14] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Nothing, time_step::Nothing, outputlevel::Int64}}, ::typeof(ITensorTDVP.eigsolve_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:5 [15] region_update!(nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, current_time::Nothing, time_step::Nothing, outputlevel::Int64, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float32, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:360 [16] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float32, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), nsite_val::Val{2}, reverse_step_val::Val{false}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:332 [17] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float32, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:197 [18] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float32, which_decomp::Nothing, svd_alg::Nothing, cutoff::Float32, maxdim::Int64, mindim::Int64, maxtruncerr::Float64}, ::typeof(ITensorTDVP.region_update!), reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [19] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Nothing, time_step::Nothing, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Float32) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [20] kwcall(::@NamedTuple{current_time::Nothing, time_step::Nothing, updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Float32}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:71 [21] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::Nothing, time_step::Nothing, kwargs::@Kwargs{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Float32}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [22] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, current_time::Nothing, time_step::Nothing, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Float32}, ::typeof(ITensorTDVP.sweep_update), order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:15 [23] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [24] macro expansion @ ./timing.jl:502 [inlined] [25] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Nothing, time_step::Nothing, order::Int64, observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Vector{Int64}, mindim::Int64, cutoff::Float32, noise::Float32) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [26] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.eigsolve_updater), observer!::ITensorTDVP.ComposedObservers{Tuple{ITensorTDVP.EmptyObserver, ITensorTDVP.ValuesObserver{@NamedTuple{info::Base.RefValue{Any}}}}}, nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, noise::Float32}, ::typeof(ITensorTDVP.alternating_update), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [27] dmrg(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, noise::Float32}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float32, noise::Float32}, ::typeof(ITensorTDVP.dmrg), operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:24 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:2066 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:45 [inlined] [32] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:63 [inlined] [34] eval(m::Module, e::Any) @ Core ./boot.jl:489 [35] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:1 [36] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [37] macro expansion @ ./timing.jl:730 [inlined] [38] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [39] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] [40] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [41] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] [42] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [43] eval(m::Module, e::Any) @ Core ./boot.jl:489 [44] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [45] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [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:310 [49] _start() @ Base ./client.jl:577 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 9 running 1 of 1 signal (10): User defined signal 1 _ZNK4llvm14ConstantSDNode5isOneEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) unknown function (ip: 0x7ffd957b1aef) at (unknown file) unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_48560.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] start_task at /source/src/task.c:1272 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.14/Profile/src/Profile.jl:1361 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x000075b2f47ebb20 Total snapshots: 416. Utilization: 0% ╎416 @Base/task.jl:1168 wait_forever() 415╎ 416 @Base/task.jl:1246 wait() [1] signal 15: Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:228 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1246 wait_forever at ./task.jl:1168 jfptr_wait_forever_48560.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] start_task at /source/src/task.c:1272 unknown function (ip: (nil)) at (unknown file) Allocations: 18095624 (Pool: 18094991; Big: 633); GC: 13 [9] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_expand.jl:10 _ZNK4llvm12X86InstrInfo33isReallyTriviallyReMaterializableERKNS_12MachineInstrE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14VirtRegAuxInfo18isRematerializableERKNS_12LiveIntervalERKNS_13LiveIntervalsERKNS_10VirtRegMapERKNS_15TargetInstrInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14VirtRegAuxInfo16weightCalcHelperERNS_12LiveIntervalEPNS_9SlotIndexES4_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm14VirtRegAuxInfo27calculateSpillWeightAndHintERNS_12LiveIntervalE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13LiveRangeEdit24calculateRegClassAndHintERNS_15MachineFunctionERNS_14VirtRegAuxInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm11SplitEditor6finishEPNS_15SmallVectorImplIjEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy17splitAroundRegionERNS_13LiveRangeEditENS_8ArrayRefIjEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy13doRegionSplitERKNS_12LiveIntervalEjbRNS_15SmallVectorImplINS_8RegisterEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy14tryRegionSplitERKNS_12LiveIntervalERNS_15AllocationOrderERNS_15SmallVectorImplINS_8RegisterEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy8trySplitERKNS_12LiveIntervalERNS_15AllocationOrderERNS_15SmallVectorImplINS_8RegisterEEERKNS_8SmallSetIS7_Lj16ESt4lessIS7_EEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy17selectOrSplitImplERKNS_12LiveIntervalERNS_15SmallVectorImplINS_8RegisterEEERNS_8SmallSetIS5_Lj16ESt4lessIS5_EEERNS_11SmallVectorISt4pairIPS2_NS_10MCRegisterEELj8EEEj at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy13selectOrSplitERKNS_12LiveIntervalERNS_15SmallVectorImplINS_8RegisterEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm12RegAllocBase16allocatePhysRegsEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm8RAGreedy20runOnMachineFunctionERNS_15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) operator() at /source/src/jitlayers.cpp:1631 addModule at /source/src/jitlayers.cpp:2123 jl_compile_codeinst_now at /source/src/jitlayers.cpp:685 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:879 jl_compile_method_internal at /source/src/gf.c:3648 _jl_invoke at /source/src/gf.c:4108 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_body at /source/src/interpreter.c:581 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:757 jl_eval_toplevel_stmts at /source/src/toplevel.c:600 jl_eval_module_expr at /source/src/toplevel.c:263 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:665 ijl_toplevel_eval at /source/src/toplevel.c:769 ijl_toplevel_eval_in at /source/src/toplevel.c:814 eval at ./boot.jl:489 jfptr_eval_16779.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:757 jl_eval_toplevel_stmts at /source/src/toplevel.c:600 jl_toplevel_eval_flex at /source/src/toplevel.c:698 ijl_toplevel_eval at /source/src/toplevel.c:769 ijl_toplevel_eval_in at /source/src/toplevel.c:814 eval at ./boot.jl:489 include_string at ./loading.jl:3092 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3152 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 unknown function (ip: 0x7989cadcc632) at (unknown file) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 macro expansion at ./timing.jl:730 [inlined] macro expansion at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2042 [inlined] macro expansion at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:1961 [inlined] top-level scope at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_invoke at /source/src/gf.c:4123 jl_toplevel_eval_flex at /source/src/toplevel.c:746 jl_eval_toplevel_stmts at /source/src/toplevel.c:600 jl_eval_module_expr at /source/src/toplevel.c:263 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:665 ijl_toplevel_eval at /source/src/toplevel.c:769 ijl_toplevel_eval_in at /source/src/toplevel.c:814 eval at ./boot.jl:489 jfptr_eval_16779.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:757 jl_eval_toplevel_stmts at /source/src/toplevel.c:600 jl_toplevel_eval_flex at /source/src/toplevel.c:698 ijl_toplevel_eval at /source/src/toplevel.c:769 ijl_toplevel_eval_in at /source/src/toplevel.c:814 eval at ./boot.jl:489 include_string at ./loading.jl:3092 _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 _include at ./loading.jl:3152 include at ./Base.jl:310 IncludeInto at ./Base.jl:311 jfptr_IncludeInto_43154.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:679 jl_interpret_toplevel_thunk at /source/src/interpreter.c:884 jl_toplevel_eval_flex at /source/src/toplevel.c:757 jl_eval_toplevel_stmts at /source/src/toplevel.c:600 jl_toplevel_eval_flex at /source/src/toplevel.c:698 ijl_toplevel_eval at /source/src/toplevel.c:769 ijl_toplevel_eval_in at /source/src/toplevel.c:814 eval at ./boot.jl:489 exec_options at ./client.jl:310 _start at ./client.jl:577 jfptr__start_79873.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4116 [inlined] ijl_apply_generic at /source/src/gf.c:4313 jl_apply at /source/src/julia.h:2285 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7989e0ac3249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 1162097974 (Pool: 1162083782; Big: 14192); GC: 513 PkgEval terminated after 2727.43s: test duration exceeded the time limit