Package evaluation of MPSToolkit on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T20:14:20.307 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.59s ################################################################################ # Installation # Installing MPSToolkit... Resolving package versions... Installed MKL ── v0.4.3 Installed HDF5 ─ v0.16.16 Updating `~/.julia/environments/v1.11/Project.toml` [b07acf17] + MPSToolkit v0.2.4 Updating `~/.julia/environments/v1.11/Manifest.toml` [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 ⌅ [79e6a3ab] + Adapt v3.7.2 [dce04be8] + ArgCheck v2.5.0 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [d360d2e6] + ChainRulesCore v1.25.1 [da1fd8a2] + CodeTracking v1.3.9 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.0 ⌅ [34da2185] + Compat v3.47.0 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 ⌅ [f68482b8] + Cthulhu v2.16.5 [9a962f9c] + DataAPI v1.16.0 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 ⌅ [85a47980] + Dictionaries v0.3.29 [e2ba6199] + ExprTools v0.1.10 [e189563c] + ExternalDocstrings v0.1.1 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [53c48c17] + FixedPointNumbers v0.8.5 [08572546] + FlameGraphs v1.1.0 [1eca21be] + FoldingTrees v1.2.2 [41a02a25] + Folds v0.2.10 ⌅ [d9f16b24] + Functors v0.4.12 ⌅ [f67ccb44] + HDF5 v0.16.16 ⌅ [9136182c] + ITensors v0.2.16 [313cdc1a] + Indexing v1.1.1 [9b13fd28] + IndirectArrays v1.0.0 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 ⌅ [28f27b66] + IsApprox v0.1.8 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [c3a54625] + JET v0.8.29 [692b3bcd] + JLLWrappers v1.7.0 [aa1ae85d] + JuliaInterpreter v0.9.42 ⌅ [70703baa] + JuliaSyntax v0.4.10 [b14d175d] + JuliaVariables v0.2.4 ⌅ [0b1a1467] + KrylovKit v0.5.4 [1d6d02ad] + LeftChildRightSiblingTrees v0.2.0 [7a12625a] + LinearMaps v3.11.4 ⌅ [6f1432cf] + LoweredCodeUtils v2.3.2 ⌅ [33e6dc65] + MKL v0.4.3 [d8e11817] + MLStyle v0.4.17 [3da0fdf6] + MPIPreferences v0.1.11 [b07acf17] + MPSToolkit v0.2.4 [1914dd2f] + MacroTools v0.5.15 [128add7d] + MicroCollections v0.2.0 ⌅ [23ae76d9] + NDTensors v0.1.51 [71a1bf82] + NameResolution v0.1.5 [bac558e1] + OrderedCollections v1.8.0 ⌅ [9b87118b] + PackageCompiler v1.7.7 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [92933f4c] + ProgressMeter v1.10.4 [189a3867] + Reexport v1.2.2 [42d2dcc6] + Referenceables v0.1.3 ⌅ [05181044] + RelocatableFolders v0.1.3 [ae029012] + Requires v1.3.1 ⌃ [295af30f] + Revise v3.5.15 [6c6a2e73] + Scratch v1.2.1 [d3ce8812] + SerializedElementArrays v0.1.0 [efcf1570] + Setfield v1.1.2 [699a6c99] + SimpleTraits v0.9.4 ⌅ [aa65fe97] + SnoopCompile v2.10.8 ⌅ [e2b509da] + SnoopCompileCore v2.10.1 [03a91e81] + SplitApplyCombine v1.2.3 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 ⌅ [5e0ebb24] + Strided v1.2.3 [69024149] + StringEncodings v0.3.7 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [24d252fe] + ThreadedScans v0.1.0 [a759f4b9] + TimerOutputs v0.5.28 [28d57a85] + Transducers v0.4.84 [9d95972d] + TupleTools v1.6.0 [d265eb64] + TypedSyntax v1.4.2 [b8c1c048] + WidthLimitedIO v1.0.1 [ddb6d928] + YAML v0.4.13 [bd1ec220] + Zeros v0.3.0 [700de1a5] + ZygoteRules v0.2.7 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.0+0 ⌅ [1d5cc7b8] + IntelOpenMP_jll v2023.2.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 ⌅ [856f044c] + MKL_jll v2022.2.0+0 [7cb0a576] + MPICH_jll v4.3.0+1 [f1f71cc9] + MPItrampoline_jll v5.5.3+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.7+2 [458c3c95] + OpenSSL_jll v3.0.16+0 [477f73a3] + libaec_jll v1.1.3+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 v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [1a1011a3] + SharedArrays v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [f489334b] + StyledStrings v1.11.0 [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 v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Building HDF5 → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/114e20044677badbc631ee6fdc80a67920561a29/build.log` Building MKL ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/e8434bb06f4f5695111c8bb9b54ed2f4b8d3b30d/build.log` Installation completed after 15.33s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 277.66s ################################################################################ # Testing # Testing MPSToolkit Status `/tmp/jl_QRl9mf/Project.toml` [b07acf17] MPSToolkit v0.2.4 [8dfed614] Test v1.11.0 Status `/tmp/jl_QRl9mf/Manifest.toml` [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 ⌅ [79e6a3ab] Adapt v3.7.2 [dce04be8] ArgCheck v2.5.0 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [d360d2e6] ChainRulesCore v1.25.1 [da1fd8a2] CodeTracking v1.3.9 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.0 ⌅ [34da2185] Compat v3.47.0 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 ⌅ [f68482b8] Cthulhu v2.16.5 [9a962f9c] DataAPI v1.16.0 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 ⌅ [85a47980] Dictionaries v0.3.29 [e2ba6199] ExprTools v0.1.10 [e189563c] ExternalDocstrings v0.1.1 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [53c48c17] FixedPointNumbers v0.8.5 [08572546] FlameGraphs v1.1.0 [1eca21be] FoldingTrees v1.2.2 [41a02a25] Folds v0.2.10 ⌅ [d9f16b24] Functors v0.4.12 ⌅ [f67ccb44] HDF5 v0.16.16 ⌅ [9136182c] ITensors v0.2.16 [313cdc1a] Indexing v1.1.1 [9b13fd28] IndirectArrays v1.0.0 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 ⌅ [28f27b66] IsApprox v0.1.8 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [c3a54625] JET v0.8.29 [692b3bcd] JLLWrappers v1.7.0 [aa1ae85d] JuliaInterpreter v0.9.42 ⌅ [70703baa] JuliaSyntax v0.4.10 [b14d175d] JuliaVariables v0.2.4 ⌅ [0b1a1467] KrylovKit v0.5.4 [1d6d02ad] LeftChildRightSiblingTrees v0.2.0 [7a12625a] LinearMaps v3.11.4 ⌅ [6f1432cf] LoweredCodeUtils v2.3.2 ⌅ [33e6dc65] MKL v0.4.3 [d8e11817] MLStyle v0.4.17 [3da0fdf6] MPIPreferences v0.1.11 [b07acf17] MPSToolkit v0.2.4 [1914dd2f] MacroTools v0.5.15 [128add7d] MicroCollections v0.2.0 ⌅ [23ae76d9] NDTensors v0.1.51 [71a1bf82] NameResolution v0.1.5 [bac558e1] OrderedCollections v1.8.0 ⌅ [9b87118b] PackageCompiler v1.7.7 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [92933f4c] ProgressMeter v1.10.4 [189a3867] Reexport v1.2.2 [42d2dcc6] Referenceables v0.1.3 ⌅ [05181044] RelocatableFolders v0.1.3 [ae029012] Requires v1.3.1 ⌃ [295af30f] Revise v3.5.15 [6c6a2e73] Scratch v1.2.1 [d3ce8812] SerializedElementArrays v0.1.0 [efcf1570] Setfield v1.1.2 [699a6c99] SimpleTraits v0.9.4 ⌅ [aa65fe97] SnoopCompile v2.10.8 ⌅ [e2b509da] SnoopCompileCore v2.10.1 [03a91e81] SplitApplyCombine v1.2.3 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 ⌅ [5e0ebb24] Strided v1.2.3 [69024149] StringEncodings v0.3.7 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [24d252fe] ThreadedScans v0.1.0 [a759f4b9] TimerOutputs v0.5.28 [28d57a85] Transducers v0.4.84 [9d95972d] TupleTools v1.6.0 [d265eb64] TypedSyntax v1.4.2 [b8c1c048] WidthLimitedIO v1.0.1 [ddb6d928] YAML v0.4.13 [bd1ec220] Zeros v0.3.0 [700de1a5] ZygoteRules v0.2.7 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.0+0 ⌅ [1d5cc7b8] IntelOpenMP_jll v2023.2.0+0 [94ce4f54] Libiconv_jll v1.18.0+0 ⌅ [856f044c] MKL_jll v2022.2.0+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [fe0851c0] OpenMPI_jll v5.0.7+2 [458c3c95] OpenSSL_jll v3.0.16+0 [477f73a3] libaec_jll v1.1.3+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 v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [f489334b] StyledStrings v1.11.0 [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 v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... TransverseIsing1D: Error During Test at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:6 Test threw exception Expression: length(getGatesEven(model, 0.1)) == 1 MethodError: no method matching to_shape(::NTuple{4, ITensors.Index{Int64}}) The function `to_shape` exists, but no method is defined for this combination of argument types. Closest candidates are: to_shape(!Matched::Int64) @ Base abstractarray.jl:839 to_shape(!Matched::Tuple{}) @ Base abstractarray.jl:835 to_shape(!Matched::Base.OneTo) @ Base abstractarray.jl:841 ... Stacktrace: [1] to_shape(dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:9 [2] to_shape(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:6 [3] similar(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/similar.jl:55 [4] similar(storagetype::Type{NDTensors.Dense{Float64, Vector{Float64}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensorstorage/similar.jl:40 [5] similar(tensortype::Type{NDTensors.DenseTensor{Float64, 4, NTuple{4, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensor/similar.jl:22 [6] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, indsR::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/dense/tensoralgebra/contract.jl:79 [7] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:47 [8] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:93 [9] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor2::Tuple{Int64, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:76 [10] contract @ ~/.julia/packages/SimpleTraits/l1ZsK/src/SimpleTraits.jl:331 [inlined] [11] _contract(A::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, B::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1740 [12] _contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1746 [13] contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1848 [14] * @ ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1836 [inlined] [15] afoldl @ ./operators.jl:553 [inlined] [16] *(a::Float64, b::Float64, c::ITensors.ITensor, xs::ITensors.ITensor) @ Base ./operators.jl:596 [17] getGatesEven(model::TransverseIsing1D, dt::Float64) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/Models/TransverseIsing1D.jl:83 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [19] macro expansion @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:6 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [21] top-level scope @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:5 TransverseIsing1D: Error During Test at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:7 Test threw exception Expression: length(getGatesOdd(model, 0.1)) == 2 MethodError: no method matching to_shape(::NTuple{4, ITensors.Index{Int64}}) The function `to_shape` exists, but no method is defined for this combination of argument types. Closest candidates are: to_shape(!Matched::Int64) @ Base abstractarray.jl:839 to_shape(!Matched::Tuple{}) @ Base abstractarray.jl:835 to_shape(!Matched::Base.OneTo) @ Base abstractarray.jl:841 ... Stacktrace: [1] to_shape(dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:9 [2] to_shape(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:6 [3] similar(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/similar.jl:55 [4] similar(storagetype::Type{NDTensors.Dense{Float64, Vector{Float64}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensorstorage/similar.jl:40 [5] similar(tensortype::Type{NDTensors.DenseTensor{Float64, 4, NTuple{4, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensor/similar.jl:22 [6] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, indsR::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/dense/tensoralgebra/contract.jl:79 [7] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:47 [8] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:93 [9] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor2::Tuple{Int64, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:76 [10] contract @ ~/.julia/packages/SimpleTraits/l1ZsK/src/SimpleTraits.jl:331 [inlined] [11] _contract(A::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, B::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1740 [12] _contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1746 [13] contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1848 [14] * @ ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1836 [inlined] [15] afoldl @ ./operators.jl:553 [inlined] [16] *(a::Float64, b::Float64, c::ITensors.ITensor, xs::ITensors.ITensor) @ Base ./operators.jl:596 [17] getGatesOdd(model::TransverseIsing1D, dt::Float64) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/Models/TransverseIsing1D.jl:115 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [19] macro expansion @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:7 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [21] top-level scope @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:5 TransverseIsing1D: Error During Test at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:10 Test threw exception Expression: length(getGatesEven(model, 0.1)) == 2 MethodError: no method matching to_shape(::NTuple{4, ITensors.Index{Int64}}) The function `to_shape` exists, but no method is defined for this combination of argument types. Closest candidates are: to_shape(!Matched::Int64) @ Base abstractarray.jl:839 to_shape(!Matched::Tuple{}) @ Base abstractarray.jl:835 to_shape(!Matched::Base.OneTo) @ Base abstractarray.jl:841 ... Stacktrace: [1] to_shape(dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:9 [2] to_shape(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:6 [3] similar(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/similar.jl:55 [4] similar(storagetype::Type{NDTensors.Dense{Float64, Vector{Float64}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensorstorage/similar.jl:40 [5] similar(tensortype::Type{NDTensors.DenseTensor{Float64, 4, NTuple{4, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensor/similar.jl:22 [6] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, indsR::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/dense/tensoralgebra/contract.jl:79 [7] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:47 [8] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:93 [9] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor2::Tuple{Int64, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:76 [10] contract @ ~/.julia/packages/SimpleTraits/l1ZsK/src/SimpleTraits.jl:331 [inlined] [11] _contract(A::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, B::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1740 [12] _contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1746 [13] contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1848 [14] * @ ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1836 [inlined] [15] afoldl @ ./operators.jl:553 [inlined] [16] *(a::Float64, b::Float64, c::ITensors.ITensor, xs::ITensors.ITensor) @ Base ./operators.jl:596 [17] getGatesEven(model::TransverseIsing1D, dt::Float64) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/Models/TransverseIsing1D.jl:83 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [19] macro expansion @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:10 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [21] top-level scope @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:5 TransverseIsing1D: Error During Test at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:11 Test threw exception Expression: length(getGatesOdd(model, 0.1)) == 2 MethodError: no method matching to_shape(::NTuple{4, ITensors.Index{Int64}}) The function `to_shape` exists, but no method is defined for this combination of argument types. Closest candidates are: to_shape(!Matched::Int64) @ Base abstractarray.jl:839 to_shape(!Matched::Tuple{}) @ Base abstractarray.jl:835 to_shape(!Matched::Base.OneTo) @ Base abstractarray.jl:841 ... Stacktrace: [1] to_shape(dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:9 [2] to_shape(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:6 [3] similar(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/similar.jl:55 [4] similar(storagetype::Type{NDTensors.Dense{Float64, Vector{Float64}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensorstorage/similar.jl:40 [5] similar(tensortype::Type{NDTensors.DenseTensor{Float64, 4, NTuple{4, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensor/similar.jl:22 [6] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, indsR::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/dense/tensoralgebra/contract.jl:79 [7] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:47 [8] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:93 [9] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor2::Tuple{Int64, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:76 [10] contract @ ~/.julia/packages/SimpleTraits/l1ZsK/src/SimpleTraits.jl:331 [inlined] [11] _contract(A::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, B::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1740 [12] _contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1746 [13] contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1848 [14] * @ ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1836 [inlined] [15] afoldl @ ./operators.jl:553 [inlined] [16] *(a::Float64, b::Float64, c::ITensors.ITensor, xs::ITensors.ITensor) @ Base ./operators.jl:596 [17] getGatesOdd(model::TransverseIsing1D, dt::Float64) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/Models/TransverseIsing1D.jl:115 [18] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:676 [inlined] [19] macro expansion @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:11 [inlined] [20] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [21] top-level scope @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:5 [ Info: Building model … TransverseIsing1D: Error During Test at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:4 Got exception outside of a @test MethodError: no method matching to_shape(::NTuple{4, ITensors.Index{Int64}}) The function `to_shape` exists, but no method is defined for this combination of argument types. Closest candidates are: to_shape(!Matched::Int64) @ Base abstractarray.jl:839 to_shape(!Matched::Tuple{}) @ Base abstractarray.jl:835 to_shape(!Matched::Base.OneTo) @ Base abstractarray.jl:841 ... Stacktrace: [1] to_shape(dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:9 [2] to_shape(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/to_shape.jl:6 [3] similar(arraytype::Type{Vector{Float64}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/abstractarray/similar.jl:55 [4] similar(storagetype::Type{NDTensors.Dense{Float64, Vector{Float64}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensorstorage/similar.jl:40 [5] similar(tensortype::Type{NDTensors.DenseTensor{Float64, 4, NTuple{4, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}, dims::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensor/similar.jl:22 [6] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, indsR::NTuple{4, ITensors.Index{Int64}}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/dense/tensoralgebra/contract.jl:79 [7] contraction_output(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:47 [8] contract(tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labelstensor2::Tuple{Int64, Int64}, labelsoutput_tensor::NTuple{4, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:93 [9] contract(::Type{NDTensors.CanContract{NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}}}, tensor1::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor1::Tuple{Int64, Int64}, tensor2::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, labels_tensor2::Tuple{Int64, Int64}) @ NDTensors ~/.julia/packages/NDTensors/28sKd/src/tensoralgebra/generic_tensor_operations.jl:76 [10] contract @ ~/.julia/packages/SimpleTraits/l1ZsK/src/SimpleTraits.jl:331 [inlined] [11] _contract(A::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}, B::NDTensors.DenseTensor{Float64, 2, Tuple{ITensors.Index{Int64}, ITensors.Index{Int64}}, NDTensors.Dense{Float64, Vector{Float64}}}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1740 [12] _contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1746 [13] contract(A::ITensors.ITensor, B::ITensors.ITensor) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1848 [14] * @ ~/.julia/packages/ITensors/5sSxp/src/itensor.jl:1836 [inlined] [15] svdMPO(ampo::ITensors.OpSum, sites::Vector{ITensors.Index{Int64}}; kwargs::@Kwargs{}) @ ITensors ~/.julia/packages/ITensors/5sSxp/src/physics/autompo.jl:580 [16] svdMPO @ ~/.julia/packages/ITensors/5sSxp/src/physics/autompo.jl:462 [inlined] [17] #MPO#1052 @ ~/.julia/packages/ITensors/5sSxp/src/physics/autompo.jl:950 [inlined] [18] MPO @ ~/.julia/packages/ITensors/5sSxp/src/physics/autompo.jl:940 [inlined] [19] getHamiltonian(model::TransverseIsing1D) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/Models/TransverseIsing1D.jl:43 [20] runDMRG(model::TransverseIsing1D, options::DMRGOptions) @ MPSToolkit ~/.julia/packages/MPSToolkit/4ETFA/src/DMRG.jl:76 [21] macro expansion @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:19 [inlined] [22] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [23] top-level scope @ ~/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:5 [24] include(fname::String) @ Main ./sysimg.jl:38 [25] top-level scope @ none:6 [26] eval @ ./boot.jl:430 [inlined] [27] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [28] _start() @ Base ./client.jl:531 Test Summary: | Error Total Time TransverseIsing1D | 5 5 28.1s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 5 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/MPSToolkit/4ETFA/test/runtests.jl:4 Testing failed after 90.07s ERROR: LoadError: Package MPSToolkit errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.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/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 407.31s: package tests unexpectedly errored