Add tests relating to von_neumann_entropy

Co-Authored-By: Pietro Monticone <38562595+pitmonticone@users.noreply.github.com>
Co-Authored-By: Claudio Moroni <43729990+ClaudMor@users.noreply.github.com>

Author: 3 people

docs/src/index.md

@@ -806,7 +806,7 @@ rem_layer!( multilayergraph,
 true
 ```
 
-Visit the [multilayer graph](@ref msm_eu) subsection of the APIs to discover more useful methods.
+Visit the [multilayer graph](@ref msm_eu) subsection of the edn-user APIs to discover more useful methods.
 
 #### Weight/Adjacency Tensor, Metadata Tensor and Supra Weight/Adjacency Matrix
 

src/tensorsfactorizations.jl

@@ -1,4 +1,4 @@
-# This script has been copy-pasted from https://github.com/mhauru/TensorFactorizations.jl
+#= # This script has been copy-pasted from https://github.com/mhauru/TensorFactorizations.jl
 
 """
     tensorsplit(A, a, b; kwargs...)
@@ -42,7 +42,7 @@ function tensorsplit(args...; kwargs...)
     A1 = tensorcontract(U, (1:(ndims(U) - 1)..., :a), S_sqrt, (:a, :b))
     A2 = tensorcontract(S_sqrt, (:b, :a), Vt, (:a, 1:(ndims(Vt) - 1)...))
     return A1, A2, auxdata...
-end
+end =#
 
 """
     tensoreig(A, a, b; chis=nothing, eps=0,
@@ -120,7 +120,7 @@ function tensoreig(
     return retval
 end
 
-"""
+#= """
     tensorsvd(A, a, b;
               chis=nothing, eps=0,
               return_error=false, print_error=false,
@@ -203,7 +203,7 @@ function tensorsvd(
     end
     return retval
 end
-
+ =#
 """
 Format the bond dimensions listed in chis to a standard format.
 """

test/abstractmultilayerugraph.jl

@@ -145,13 +145,13 @@ overlaygraph = MultilayerGraphs.get_overlay_monoplex_graph(multilayergraph)
 @test multilayer_weighted_global_clustering_coefficient(multilayergraph, [1 / 3, 1 / 3, 1 / 3]) .≈ multilayer_global_clustering_coefficient(multilayergraph)
 eig_centr_u, errs_u = eigenvector_centrality(multilayergraph; norm="n", tol=1e-3)
 modularity(multilayergraph, rand([1, 2, 3, 4], length(nodes(multilayergraph)), length(multilayergraph.layers)), )
+von_neumann_entropy(multilayergraph)
 
 # get_graph_of_layers(multilayergraph)
 
 wgt = weight_tensor(multilayergraph)
 sam = supra_weight_matrix(multilayergraph)
 for edge in collect(edges(multilayergraph.layer_swg))
-    @debug "" src(edge) dst(edge) edge
     @test wgt[src(edge), dst(edge)] == wgt[ dst(edge), src(edge)] == MultilayerGraphs.weight(edge)
     @test sam[src(edge), dst(edge)] ==  sam[ dst(edge), src(edge)] ==  MultilayerGraphs.weight(edge)
 end