Package evaluation to test ITensorTDVP on Julia 1.14.0-DEV.1455 (9d9110fde9*) started at 2026-01-01T20:58:42.055 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 9.49s ################################################################################ # 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 v1.5.1 [42d2dcc6] + Referenceables v0.1.3 [ae029012] + Requires v1.3.1 [431bcebd] + SciMLPublic v1.0.1 [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 v1.9.16 [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 4.37s ################################################################################ # 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:585 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:585 Precompilation failed after 12.87s ################################################################################ # Testing # Testing ITensorTDVP Status `/tmp/jl_mOInPw/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 v1.8.0 [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_mOInPw/Manifest.toml` [47edcb42] ADTypes v1.21.0 [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 v0.2.6 [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 v6.194.0 [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 v1.3.0 [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 v2.3.0 [b1df2697] OrdinaryDiffEqTsit5 v1.8.0 [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 v1.5.1 [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 v2.131.0 [a6db7da4] SciMLLogging v1.8.0 [c0aeaf25] SciMLOperators v1.14.1 [431bcebd] SciMLPublic v1.0.1 [53ae85a6] SciMLStructures v1.9.0 [91c51154] SentinelArrays v1.4.9 [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 v1.9.16 [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:2950 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:2950 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 "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`. 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:2873  [3] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2725  [4] macro expansion  @ ./loading.jl:2653 [inlined]  [5] macro expansion  @ ./lock.jl:376 [inlined]  [6] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2617  [7] require  @ ./loading.jl:2593 [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:3309  [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:3151  [17] include_string  @ ./loading.jl:3161 [inlined]  [18] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:342  [19] _start()  @ Base ./client.jl:585 in expression starting at /home/pkgeval/.julia/packages/ITensors/AbUYR/ext/ITensorsVectorInterfaceExt/ITensorsVectorInterfaceExt.jl:1 in expression starting at stdin:5 2 dependencies had output during precompilation: ┌ ITensors → ITensorsVectorInterfaceExt │ [Output was shown above] └ ┌ 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`. └ ┌ Error: Error during loading of extension ITensorsVectorInterfaceExt of ITensors, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ The following 1 package failed to precompile: │ │ ITensors → ITensorsVectorInterfaceExt │ Failed to precompile ITensorsVectorInterfaceExt [8b35048b-b2ee-5c30-b570-d9b657d1dd5a] to "/home/pkgeval/.julia/compiled/v1.14/ITensorsVectorInterfaceExt/jl_un6VWJ" (ProcessExited(1)). │ └ @ Base loading.jl:1781 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 907.518645 seconds (602.64 M allocations: 33.405 GiB, 2.22% gc time, 99.05% 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:738 [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:2076 [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:1995 [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:585 57.767585 seconds (34.23 M allocations: 1.997 GiB, 2.80% gc time, 62.50% compilation time) Running test_dmrg_x.jl 519.169227 seconds (278.98 M allocations: 18.020 GiB, 1.82% gc time, 97.38% 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"##292" ~/.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:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292" ~/.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"##292".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##292" ~/.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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".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"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".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"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292".var"#main##5#main##6"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##292".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"##292" ~/.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:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 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"##292" ~/.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:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/examples/04_tdvp_observers.jl:46 327.991369 seconds (93.58 M allocations: 8.497 GiB, 1.94% gc time, 30.70% compilation time: 43% 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 Decoupled ladder (alg="global_krylov", eltype=Float64): 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::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}}, ::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::Float64, 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{}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, 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::Float64) @ 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::Float64, noise::Float64}, ::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::Float64, noise::Float64}) @ 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::Float64, noise::Float64}, ::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::Float64, noise::Float64) @ 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, noise::Float64}, ::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, noise::Float64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, noise::Float64}, ::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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 Decoupled ladder (alg="global_krylov", eltype=ComplexF32): 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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 Decoupled ladder (alg="global_krylov", eltype=ComplexF64): 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::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}}, ::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::Float64, 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{}, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, nsite::Int64, reverse_step::Bool, current_time::Nothing, outputlevel::Int64, time_step::Nothing, normalize::Bool, direction::Base.Order.ForwardOrdering, noise::Float64, 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{}, 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::Float64) @ 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::Float64, noise::Float64}, ::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::Float64, noise::Float64}) @ 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::Float64, noise::Float64}, ::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::Float64, noise::Float64) @ 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, noise::Float64}, ::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, noise::Float64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, maxdim::Vector{Int64}, cutoff::Float64, noise::Float64}, ::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:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [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:1995 [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:738 [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:2076 [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:1995 [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:585 320.213362 seconds (160.52 M allocations: 8.374 GiB, 1.32% gc time, 99.45% compilation time: 52% of which was recompilation) Running test_exports.jl 0.151478 seconds (90.11 k allocations: 4.601 MiB, 82.84% compilation time: 69% of which was recompilation) Running test_linsolve.jl linsolve (eltype=Float32, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=Float32, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=Float64, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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}}, ::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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=Float64, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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}}, ::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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=ComplexF32, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=ComplexF32, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=ComplexF64, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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}}, ::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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 linsolve (eltype=ComplexF64, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:10 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}}, ::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::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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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{}, 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::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, cutoff::Float64, maxdim::Int64, outputlevel::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, cutoff::Float64, maxdim::Int64, outputlevel::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/dmrg.jl:30 [28] kwcall(::@NamedTuple{nsweeps::Int64, cutoff::Float64, maxdim::Int64, outputlevel::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_linsolve.jl:2100 [30] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [31] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:27 [inlined] [32] eval(m::Module, e::Any) @ Core ./boot.jl:489 [33] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_linsolve.jl:1 [34] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [35] macro expansion @ ./timing.jl:738 [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:2076 [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:1995 [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:585 8.372139 seconds (3.65 M allocations: 237.078 MiB, 1.18% gc time, 89.89% compilation time: 90% of which was recompilation) Running test_tdvp.jl Basic TDVP (eltype=Float32): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:26 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF32, 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, ::ComplexF32, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::ComplexF32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF32, 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::ComplexF32, time_step::ComplexF32, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, 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{1}, 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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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:293 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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{true}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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 [14] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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 [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::ComplexF32, time_step::ComplexF32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [16] kwcall(::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, 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::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 [17] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::ComplexF32, time_step::ComplexF32, 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::Float32, 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::ComplexF32, time_step::ComplexF32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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 [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::ComplexF32, time_step::ComplexF32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, 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] kwcall(::@NamedTuple{cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:41 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 Basic TDVP (eltype=Float64): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:26 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] 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{1}, 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, 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:293 [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{1}, 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:265 [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!::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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:41 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 Basic TDVP (eltype=ComplexF32): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:26 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF32, 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, ::ComplexF32, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::ComplexF32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPO, t::ComplexF32, 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::ComplexF32, time_step::ComplexF32, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, 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{1}, 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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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:293 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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{true}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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 [14] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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 [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::ComplexF32, time_step::ComplexF32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [16] kwcall(::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, 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::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 [17] sweep_update(order::ITensorTDVP.TDVPOrder{2, Base.Order.ForwardOrdering()}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::ComplexF32, time_step::ComplexF32, 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::Float32, 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::ComplexF32, time_step::ComplexF32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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 [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::ComplexF32, time_step::ComplexF32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, 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] kwcall(::@NamedTuple{cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:41 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 Basic TDVP (eltype=ComplexF64): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:26 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] 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{1}, 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, 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:293 [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{1}, 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:265 [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!::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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:41 [inlined] [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 TDVP: Sum of Hamiltonians (eltype=Float32): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:58 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF32, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF32, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPOSum, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, outputlevel::Int64}}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPOSum, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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:293 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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.ProjMPOSum, 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.ProjMPOSum, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::ComplexF32, time_step::ComplexF32, 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::ComplexF32, time_step::ComplexF32, 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.ProjMPOSum, 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.ProjMPOSum, state::ITensors.ITensorMPS.MPS; current_time::ComplexF32, time_step::ComplexF32, 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::ComplexF32, time_step::ComplexF32, 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.ProjMPOSum, 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::Vector{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::ComplexF32, time_step::ComplexF32, 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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::Vector{ITensors.ITensorMPS.MPO}, t::ComplexF32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:78 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 TDVP: Sum of Hamiltonians (eltype=Float64): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:58 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, ::ComplexF64, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF64, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF64, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; 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) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:293 [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{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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::Vector{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!::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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::Vector{ITensors.ITensorMPS.MPO}, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:78 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 TDVP: Sum of Hamiltonians (eltype=ComplexF32): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:58 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF32, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF32, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPOSum, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, outputlevel::Int64}, kwargs::@Kwargs{}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [10] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF32, time_step::ComplexF32, outputlevel::Int64}}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPOSum, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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:293 [12] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{}, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{}, nsite::Int64, reverse_step::Bool, current_time::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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::ComplexF32, outputlevel::Int64, time_step::ComplexF32, 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.ProjMPOSum, 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.ProjMPOSum, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::ComplexF32, time_step::ComplexF32, 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::ComplexF32, time_step::ComplexF32, 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.ProjMPOSum, 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.ProjMPOSum, state::ITensors.ITensorMPS.MPS; current_time::ComplexF32, time_step::ComplexF32, 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::ComplexF32, time_step::ComplexF32, 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.ProjMPOSum, 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::Vector{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::ComplexF32, time_step::ComplexF32, 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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::Vector{ITensors.ITensorMPS.MPO}, t::ComplexF32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:78 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 TDVP: Sum of Hamiltonians (eltype=ComplexF64): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:58 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, ::ComplexF64, ::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] expintegrator(::ITensors.ITensorMPS.ProjMPOSum, ::ComplexF64, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensors.ITensorMPS.ProjMPOSum, t::ComplexF64, v::ITensors.ITensor; kwargs::@Kwargs{}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [11] region_update!(nsite_val::Val{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64; 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) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:293 [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{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPOSum, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:265 [13] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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.ProjMPOSum, 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::Vector{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!::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] 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] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::Vector{ITensors.ITensorMPS.MPO}, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [27] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:78 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 Custom updater in TDVP: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:93 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] 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.Lanczos{KrylovKit.ModifiedGramSchmidt2, Float64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensors.ITensorMPS.ProjMPO, ::ComplexF64, ::ITensors.ITensor; kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, ::typeof(KrylovKit.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{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensors.ITensorMPS.ProjMPO, t::ComplexF64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] (::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"})(PH::ITensors.ITensorMPS.ProjMPO, state0::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, kwargs::@Kwargs{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}) @ Main.var"##146".var"##296" ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:107 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, ::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, PH::ITensors.ITensorMPS.ProjMPO, state0::ITensors.ITensor) @ Main.var"##146".var"##296" ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:106 [12] region_update!(nsite_val::Val{1}, reverse_step_val::Val{true}, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::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:293 [13] kwcall(::@NamedTuple{updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::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!), nsite_val::Val{1}, 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:265 [14] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, 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 [15] kwcall(::@NamedTuple{updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, 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 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, 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 [17] kwcall(::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, 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::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::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; current_time::ComplexF64, time_step::ComplexF64, kwargs::@Kwargs{updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, 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::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, 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 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, 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!::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] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [24] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [25] kwcall(::@NamedTuple{updater::Main.var"##146".var"##296".var"#updater#updater##0"{Main.var"##146".var"##296".var"#updater#7#8"}, updater_kwargs::@NamedTuple{ishermitian::Bool, tol::Float64, krylovdim::Int64, maxiter::Int64, verbosity::Int64, eager::Bool}, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:94 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:113 [inlined] [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [31] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [32] macro expansion @ ./timing.jl:738 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [37] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [40] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [41] top-level scope @ none:6 [42] eval(m::Module, e::Any) @ Core ./boot.jl:489 [43] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [44] _start() @ Base ./client.jl:585 Accuracy Test: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:125 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] 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{tol::Float64, maxiter::Int64, krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, ::typeof(KrylovKit.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{tol::Float64, maxiter::Int64, krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, ::typeof(KrylovKit.exponentiate), A::ITensors.ITensorMPS.ProjMPO, t::ComplexF64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, kwargs::@Kwargs{tol::Float64, maxiter::Int64, krylovdim::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, tol::Float64, maxiter::Int64, krylovdim::Int64}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [12] 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{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [13] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [14] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [15] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [17] kwcall(::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [18] 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{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}, 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!::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] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [24] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [25] kwcall(::@NamedTuple{cutoff::Float64, normalize::Bool, updater_kwargs::@NamedTuple{tol::Float64, maxiter::Int64, krylovdim::Int64}}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:126 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:153 [inlined] [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [31] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [32] macro expansion @ ./timing.jl:738 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [37] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [40] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [41] top-level scope @ none:6 [42] eval(m::Module, e::Any) @ Core ./boot.jl:489 [43] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [44] _start() @ Base ./client.jl:585 TEBD Comparison: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:177 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] 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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.exponentiate), A::ITensors.ITensorMPS.ProjMPO, t::ComplexF64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, kwargs::@Kwargs{krylovdim::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, outputlevel::Int64}, krylovdim::Int64}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [12] 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{krylovdim::Int64}, 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 [13] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [14] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [15] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [17] kwcall(::@NamedTuple{current_time::ComplexF64, time_step::ComplexF64, updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [18] 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{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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!::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] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [24] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [25] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64, normalize::Bool, updater_kwargs::@NamedTuple{krylovdim::Int64}}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:178 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:214 [inlined] [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [31] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [32] macro expansion @ ./timing.jl:738 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [37] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [40] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [41] top-level scope @ none:6 [42] eval(m::Module, e::Any) @ Core ./boot.jl:489 [43] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [44] _start() @ Base ./client.jl:585 Imaginary Time Evolution: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:246 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] 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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.exponentiate), A::ITensors.ITensorMPS.ProjMPO, t::Float64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, kwargs::@Kwargs{krylovdim::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, krylovdim::Int64}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [12] 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{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:390 [14] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [18] 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{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [24] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [25] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64, reverse_step::Bool, normalize::Bool, updater_kwargs::@NamedTuple{krylovdim::Int64}}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:265 [inlined] [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [28] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [31] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [32] macro expansion @ ./timing.jl:738 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [37] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [40] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [41] top-level scope @ none:6 [42] eval(m::Module, e::Any) @ Core ./boot.jl:489 [43] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [44] _start() @ Base ./client.jl:585 Imaginary Time Evolution: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:246 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] 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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.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{krylovdim::Int64}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{krylovdim::Int64}, ::typeof(KrylovKit.exponentiate), A::ITensors.ITensorMPS.ProjMPO, t::Float64, v::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [10] exponentiate_updater(operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, kwargs::@Kwargs{krylovdim::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:6 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float64, time_step::Float64, outputlevel::Int64}, krylovdim::Int64}, ::typeof(ITensorTDVP.exponentiate_updater), operator::ITensors.ITensorMPS.ProjMPO, init::ITensors.ITensor) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:5 [12] 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{krylovdim::Int64}, 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 [13] kwcall(::@NamedTuple{updater::typeof(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [14] region_update!(reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [16] sub_sweep_update(direction::Base.Order.ForwardOrdering, reduced_operator::ITensors.ITensorMPS.ProjMPO, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [18] 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{krylovdim::Int64}, 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(ITensorTDVP.exponentiate_updater), updater_kwargs::@NamedTuple{krylovdim::Int64}, 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 [20] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:71 [inlined] [21] macro expansion @ ./timing.jl:502 [inlined] [22] alternating_update(operator::ITensors.ITensorMPS.MPO, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{krylovdim::Int64}, 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] alternating_update @ ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:25 [inlined] [24] #tdvp#43 @ ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [inlined] [25] kwcall(::@NamedTuple{cutoff::Float64, nsite::Int64, reverse_step::Bool, normalize::Bool, updater_kwargs::@NamedTuple{krylovdim::Int64}}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:265 [inlined] [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [28] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:2100 [29] eval(m::Module, e::Any) @ Core ./boot.jl:489 [30] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [31] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [32] macro expansion @ ./timing.jl:738 [inlined] [33] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [34] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [37] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [38] eval(m::Module, e::Any) @ Core ./boot.jl:489 [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [40] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [41] top-level scope @ none:6 [42] eval(m::Module, e::Any) @ Core ./boot.jl:489 [43] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [44] _start() @ Base ./client.jl:585 Observers: Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:292 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] 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] region_update! @ ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:176 [inlined] [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!::DataFrames.DataFrame, 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!::DataFrames.DataFrame, 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!::DataFrames.DataFrame, 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!::DataFrames.DataFrame, 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!::DataFrames.DataFrame, 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] kwcall(::@NamedTuple{time_step::ComplexF64, cutoff::Float64, normalize::Bool, observer!::DataFrames.DataFrame, step_observer!::DataFrames.DataFrame}, ::typeof(ITensorTDVP.tdvp), operator::ITensors.ITensorMPS.MPO, t::ComplexF64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [25] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:293 [26] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [27] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:327 [inlined] [28] eval(m::Module, e::Any) @ Core ./boot.jl:489 [29] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp.jl:1 [30] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [31] macro expansion @ ./timing.jl:738 [inlined] [32] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [33] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [34] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [35] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [36] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [37] eval(m::Module, e::Any) @ Core ./boot.jl:489 [38] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [39] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [40] top-level scope @ none:6 [41] eval(m::Module, e::Any) @ Core ./boot.jl:489 [42] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [43] _start() @ Base ./client.jl:585 40.410866 seconds (24.53 M allocations: 1.329 GiB, 1.76% gc time, 95.50% compilation time: 5% of which was recompilation) Running test_tdvp_time_dependent.jl Time dependent Hamiltonian (eltype=Float32, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.expintegrator), ::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, v::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, kwargs::@Kwargs{tol::Float32, eager::Bool}) @ Main.var"##146".var"##297" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:21 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, tol::Float32, eager::Bool}, ::typeof(Main.var"##146".var"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, time_step::Float32, 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:418 [13] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, outputlevel::Int64, time_step::Float32, 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{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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 [15] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float32, time_step::Float32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [17] kwcall(::@NamedTuple{current_time::Float32, time_step::Float32, updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; current_time::Float32, time_step::Float32, kwargs::@Kwargs{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [19] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, current_time::Float32, time_step::Float32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float32, time_step::Float32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [23] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float32, time_step::Float32, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float32, time_start::Float32, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, time_step::Float32, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=Float32, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.expintegrator), ::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, v::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, kwargs::@Kwargs{tol::Float32, eager::Bool}) @ Main.var"##146".var"##297" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:21 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, tol::Float32, eager::Bool}, ::typeof(Main.var"##146".var"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, time_step::Float32, 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:418 [13] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, outputlevel::Int64, time_step::Float32, 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{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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 [15] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float32, time_step::Float32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [17] kwcall(::@NamedTuple{current_time::Float32, time_step::Float32, updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; current_time::Float32, time_step::Float32, kwargs::@Kwargs{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [19] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, current_time::Float32, time_step::Float32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float32, time_step::Float32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [23] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float32, time_step::Float32, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float32, time_start::Float32, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, time_step::Float32, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=Float64, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] 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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297" ~/.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"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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}, maxdim::Int64, cutoff::Float64, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, time_step::Float64, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=Float64, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] 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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297" ~/.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"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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}, maxdim::Int64, cutoff::Float64, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, time_step::Float64, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=ComplexF32, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.expintegrator), ::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, v::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, kwargs::@Kwargs{tol::Float32, eager::Bool}) @ Main.var"##146".var"##297" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:21 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, tol::Float32, eager::Bool}, ::typeof(Main.var"##146".var"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, time_step::Float32, 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:418 [13] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, outputlevel::Int64, time_step::Float32, 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{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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 [15] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float32, time_step::Float32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [17] kwcall(::@NamedTuple{current_time::Float32, time_step::Float32, updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; current_time::Float32, time_step::Float32, kwargs::@Kwargs{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [19] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, current_time::Float32, time_step::Float32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float32, time_step::Float32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [23] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float32, time_step::Float32, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float32, time_start::Float32, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, time_step::Float32, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=ComplexF32, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] zerovector(x::ITensors.ITensor) @ VectorInterface ~/.julia/packages/VectorInterface/Vk8YT/src/interface.jl:33 [5] expintegrator(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, u::Tuple{ITensors.ITensor}, alg::KrylovKit.Arnoldi{KrylovKit.ModifiedGramSchmidt2, Float32}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:106 [6] expintegrator(::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:102 [7] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.expintegrator), ::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, ::Float32, ::ITensors.ITensor) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/expintegrator.jl:98 [8] exponentiate(A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, v::ITensors.ITensor; kwargs::@Kwargs{tol::Float32, eager::Bool}) @ KrylovKit ~/.julia/packages/KrylovKit/xccMN/src/matrixfun/exponentiate.jl:79 [9] kwcall(::@NamedTuple{tol::Float32, eager::Bool}, ::typeof(KrylovKit.exponentiate), A::ITensorTDVP.ScaledSum{Tuple{ComplexF32, ComplexF32}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, t::Float32, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor; internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, kwargs::@Kwargs{tol::Float32, eager::Bool}) @ Main.var"##146".var"##297" ~/.julia/packages/ITensorTDVP/O4qn7/examples/03_updaters.jl:21 [11] kwcall(::@NamedTuple{internal_kwargs::@NamedTuple{current_time::Float32, time_step::Float32, outputlevel::Int64}, tol::Float32, eager::Bool}, ::typeof(Main.var"##146".var"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, time_step::Float32, 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:418 [13] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, current_time::Float32, outputlevel::Int64, time_step::Float32, 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{true}, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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 [15] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, current_time::Float32, outputlevel::Int64, time_step::Float32, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, which_decomp::Nothing, svd_alg::Nothing, sweep::Int64, current_time::Float32, time_step::Float32, nsite::Int64, reverse_step::Bool, normalize::Bool, observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:117 [17] kwcall(::@NamedTuple{current_time::Float32, time_step::Float32, updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}, ::typeof(ITensorTDVP.sub_sweep_update), direction::Base.Order.ForwardOrdering, reduced_operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS; current_time::Float32, time_step::Float32, kwargs::@Kwargs{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, normalize::Bool, outputlevel::Int64, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/sweep_update.jl:35 [19] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsite::Int64, current_time::Float32, time_step::Float32, reverse_step::Bool, sweep::Int64, observer!::ITensorTDVP.EmptyObserver, 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::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, init::ITensors.ITensorMPS.MPS; updater::Function, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, nsweeps::Int64, checkdone::Returns{Bool}, write_when_maxdim_exceeds::Nothing, nsite::Int64, reverse_step::Bool, time_start::Float32, time_step::Float32, order::Int64, observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, outputlevel::Int64, normalize::Bool, maxdim::Int64, mindim::Int64, cutoff::Float32, noise::Int64) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/alternating_update.jl:70 [23] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float32, time_step::Float32, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, 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"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS; updater_backend::String, updater::Function, reverse_step::Bool, time_step::Float32, time_start::Float32, nsweeps::Nothing, nsteps::Nothing, step_observer!::ITensorTDVP.EmptyObserver, sweep_observer!::ITensorTDVP.EmptyObserver, kwargs::@Kwargs{updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, maxdim::Int64, cutoff::Float32, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float32, eager::Bool}, time_step::Float32, maxdim::Int64, cutoff::Float32, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float32}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float32, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=ComplexF64, conserve_qns=false): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] 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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297" ~/.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"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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}, maxdim::Int64, cutoff::Float64, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, time_step::Float64, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 Time dependent Hamiltonian (eltype=ComplexF64, conserve_qns=true): Error During Test at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 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] 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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297" ~/.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"##297".krylov_updater), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, init::ITensors.ITensor) @ Main.var"##146".var"##297" ~/.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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.ProjMPO, ITensors.ITensorMPS.ProjMPO}}, state::ITensors.ITensorMPS.MPS, b::Int64; updater::typeof(Main.var"##146".var"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".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"##297".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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".krylov_updater), reverse_step::Bool, nsweeps::Int64, time_start::Float64, time_step::Float64, sweep_observer!::ITensorTDVP.EmptyObserver, updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.alternating_update), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{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}, maxdim::Int64, cutoff::Float64, nsite::Int64}) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:82 [25] kwcall(::@NamedTuple{updater::typeof(Main.var"##146".var"##297".krylov_updater), updater_kwargs::@NamedTuple{tol::Float64, eager::Bool}, time_step::Float64, maxdim::Int64, cutoff::Float64, nsite::Int64}, ::typeof(ITensorTDVP.tdvp), operator::ITensorTDVP.TimeDependentSum{Tuple{ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}, ITensorTDVP.var"#12#13"{Main.var"##146".var"##297".var"#29#30"{Float64}, Complex{Int64}}}, Tuple{ITensors.ITensorMPS.MPO, ITensors.ITensorMPS.MPO}}, t::Float64, init::ITensors.ITensorMPS.MPS) @ ITensorTDVP ~/.julia/packages/ITensorTDVP/O4qn7/src/tdvp.jl:66 [26] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:11 [27] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [28] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:37 [inlined] [29] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [30] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:73 [inlined] [31] eval(m::Module, e::Any) @ Core ./boot.jl:489 [32] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/test_tdvp_time_dependent.jl:1 [33] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [34] macro expansion @ ./timing.jl:738 [inlined] [35] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:11 [inlined] [36] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:2076 [inlined] [37] macro expansion @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [inlined] [38] macro expansion @ /opt/julia/share/julia/stdlib/v1.14/Test/src/Test.jl:1995 [inlined] [39] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:9 [40] eval(m::Module, e::Any) @ Core ./boot.jl:489 [41] top-level scope @ ~/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 [42] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:310 [43] top-level scope @ none:6 [44] eval(m::Module, e::Any) @ Core ./boot.jl:489 [45] exec_options(opts::Base.JLOptions) @ Base ./client.jl:310 [46] _start() @ Base ./client.jl:585 123.402203 seconds (65.04 M allocations: 4.207 GiB, 3.14% gc time, 97.19% compilation time: 7% of which was recompilation) Test Summary: | Pass Error Total Time ITensorTDVP.jl | 233 53 286 38m25.3s test_contract.jl | 72 72 15m07.7s test_dmrg.jl | 16 16 32 57.8s DMRG (eltype=Float32, nsite=1, conserve_qns=false) | 1 1 2 5.0s DMRG (eltype=Float32, nsite=1, conserve_qns=true) | 1 1 2 2.9s DMRG (eltype=Float32, nsite=2, conserve_qns=false) | 1 1 2 2.7s DMRG (eltype=Float32, nsite=2, conserve_qns=true) | 1 1 2 4.7s DMRG (eltype=Float64, nsite=1, conserve_qns=false) | 1 1 2 1.6s DMRG (eltype=Float64, nsite=1, conserve_qns=true) | 1 1 2 1.0s DMRG (eltype=Float64, nsite=2, conserve_qns=false) | 1 1 2 1.7s DMRG (eltype=Float64, nsite=2, conserve_qns=true) | 1 1 2 3.0s DMRG (eltype=ComplexF32, nsite=1, conserve_qns=false) | 1 1 2 1.0s DMRG (eltype=ComplexF32, nsite=1, conserve_qns=true) | 1 1 2 1.3s DMRG (eltype=ComplexF32, nsite=2, conserve_qns=false) | 1 1 2 1.9s DMRG (eltype=ComplexF32, nsite=2, conserve_qns=true) | 1 1 2 3.3s DMRG (eltype=ComplexF64, nsite=1, conserve_qns=false) | 1 1 2 0.9s DMRG (eltype=ComplexF64, nsite=1, conserve_qns=true) | 1 1 2 1.3s DMRG (eltype=ComplexF64, nsite=2, conserve_qns=false) | 1 1 2 1.9s DMRG (eltype=ComplexF64, nsite=2, conserve_qns=true) | 1 1 2 23.5s test_dmrg_x.jl | 80 80 8m39.2s test_examples.jl | 3 3 5m28.0s Run examples | 3 3 5m26.3s Running example file 01_tdvp.jl | 1 1 6.9s Running example file 02_dmrg-x.jl | 0 1.6s Running example file 03_tdvp_time_dependent.jl | 1 1 2m38.1s Running example file 04_tdvp_observers.jl | 1 1 2m39.7s test_expand.jl | 48 4 52 5m20.2s expand (eltype=Float32) | 12 1 13 1m51.1s expand (alg="orthogonalize", conserve_qns=false, eltype=Float32) | 3 3 24.4s expand (alg="orthogonalize", conserve_qns=true, eltype=Float32) | 3 3 59.6s expand (alg="global_krylov", conserve_qns=false, eltype=Float32) | 3 3 9.4s expand (alg="global_krylov", conserve_qns=true, eltype=Float32) | 3 3 13.1s Decoupled ladder (alg="global_krylov", eltype=Float32) | 1 1 4.6s expand (eltype=Float64) | 12 1 13 55.8s expand (alg="orthogonalize", conserve_qns=false, eltype=Float64) | 3 3 9.5s expand (alg="orthogonalize", conserve_qns=true, eltype=Float64) | 3 3 31.8s expand (alg="global_krylov", conserve_qns=false, eltype=Float64) | 3 3 1.8s expand (alg="global_krylov", conserve_qns=true, eltype=Float64) | 3 3 9.5s Decoupled ladder (alg="global_krylov", eltype=Float64) | 1 1 3.2s expand (eltype=ComplexF32) | 12 1 13 1m22.1s expand (alg="orthogonalize", conserve_qns=false, eltype=ComplexF32) | 3 3 14.7s expand (alg="orthogonalize", conserve_qns=true, eltype=ComplexF32) | 3 3 51.2s expand (alg="global_krylov", conserve_qns=false, eltype=ComplexF32) | 3 3 2.9s expand (alg="global_krylov", conserve_qns=true, eltype=ComplexF32) | 3 3 10.3s Decoupled ladder (alg="global_krylov", eltype=ComplexF32) | 1 1 3.0s expand (eltype=ComplexF64) | 12 1 13 1m10.6s expand (alg="orthogonalize", conserve_qns=false, eltype=ComplexF64) | 3 3 9.1s expand (alg="orthogonalize", conserve_qns=true, eltype=ComplexF64) | 3 3 48.5s expand (alg="global_krylov", conserve_qns=false, eltype=ComplexF64) | 3 3 1.3s expand (alg="global_krylov", conserve_qns=true, eltype=ComplexF64) | 3 3 9.1s Decoupled ladder (alg="global_krylov", eltype=ComplexF64) | 1 1 2.6s test_exports.jl | 1 1 0.2s test_linsolve.jl | 8 8 8.4s linsolve (eltype=Float32, conserve_qns=false) | 1 1 0.8s linsolve (eltype=Float32, conserve_qns=true) | 1 1 2.1s linsolve (eltype=Float64, conserve_qns=false) | 1 1 0.1s linsolve (eltype=Float64, conserve_qns=true) | 1 1 1.0s linsolve (eltype=ComplexF32, conserve_qns=false) | 1 1 0.1s linsolve (eltype=ComplexF32, conserve_qns=true) | 1 1 2.1s linsolve (eltype=ComplexF64, conserve_qns=false) | 1 1 0.1s linsolve (eltype=ComplexF64, conserve_qns=true) | 1 1 2.0s test_tdvp.jl | 14 14 40.4s Basic TDVP (eltype=Float32) | 1 1 1.2s Basic TDVP (eltype=Float64) | 1 1 0.3s Basic TDVP (eltype=ComplexF32) | 1 1 0.1s Basic TDVP (eltype=ComplexF64) | 1 1 0.1s TDVP: Sum of Hamiltonians (eltype=Float32) | 1 1 1.6s TDVP: Sum of Hamiltonians (eltype=Float64) | 1 1 0.7s TDVP: Sum of Hamiltonians (eltype=ComplexF32) | 1 1 0.1s TDVP: Sum of Hamiltonians (eltype=ComplexF64) | 1 1 0.1s Custom updater in TDVP | 1 1 1.0s Accuracy Test | 1 1 10.6s TEBD Comparison | 1 1 20.8s Imaginary Time Evolution | 1 1 0.6s Imaginary Time Evolution | 1 1 0.1s Observers | 1 1 1.4s test_tdvp_time_dependent.jl | 16 8 24 2m03.4s TDVP with ODE local updater | 16 8 24 2m03.2s TimeDependentSum (eltype=Float32) | 2 2 15.0s TimeDependentSum (eltype=Float32) | 2 2 23.5s TimeDependentSum (eltype=Float64) | 2 2 6.9s TimeDependentSum (eltype=Float64) | 2 2 12.6s TimeDependentSum (eltype=ComplexF32) | 2 2 6.6s TimeDependentSum (eltype=ComplexF32) | 2 2 12.7s TimeDependentSum (eltype=ComplexF64) | 2 2 6.4s TimeDependentSum (eltype=ComplexF64) | 2 2 12.9s Time dependent Hamiltonian (eltype=Float32, conserve_qns=false) | 1 1 17.5s Time dependent Hamiltonian (eltype=Float32, conserve_qns=true) | 1 1 0.3s Time dependent Hamiltonian (eltype=Float64, conserve_qns=false) | 1 1 6.7s Time dependent Hamiltonian (eltype=Float64, conserve_qns=true) | 1 1 0.4s Time dependent Hamiltonian (eltype=ComplexF32, conserve_qns=false) | 1 1 0.5s Time dependent Hamiltonian (eltype=ComplexF32, conserve_qns=true) | 1 1 0.3s Time dependent Hamiltonian (eltype=ComplexF64, conserve_qns=false) | 1 1 0.6s Time dependent Hamiltonian (eltype=ComplexF64, conserve_qns=true) | 1 1 0.3s RNG of the outermost testset: Random.Xoshiro(0x247d5abace28579d, 0x2fa77d9988e992e1, 0x80fd1445d3d9022b, 0xeccb11e473bebc9c, 0xb1f2b623b659435b) ERROR: LoadError: Some tests did not pass: 233 passed, 0 failed, 53 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/ITensorTDVP/O4qn7/test/runtests.jl:1 Testing failed after 2496.44s ERROR: LoadError: Package ITensorTDVP errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3067 [3] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:2916 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:572 [5] kwcall(::@NamedTuple{julia_args::Cmd, io::IOContext{IO}}, ::typeof(Pkg.API.test), ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:548 [6] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [7] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkgs::Vector{PackageSpec}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:161 [8] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [9] test @ /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [inlined] [10] kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(Pkg.API.test), pkg::String) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [11] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:237 [12] include(mod::Module, _path::String) @ Base ./Base.jl:309 [13] exec_options(opts::Base.JLOptions) @ Base ./client.jl:344 [14] _start() @ Base ./client.jl:585 in expression starting at /PkgEval.jl/scripts/evaluate.jl:228 PkgEval failed after 2591.43s: package fails to precompile