diff --git a/Project.toml b/Project.toml index 3c35ea1..d7e5e2b 100644 --- a/Project.toml +++ b/Project.toml @@ -1,6 +1,6 @@ name = "ITensorVisualizationBase" uuid = "cd2553d2-8bef-4d93-8a38-c62f17d5ad23" -version = "0.1.15" +version = "0.1.16" authors = ["Matthew Fishman and contributors"] [workspace] diff --git a/README.md b/README.md index 75e303b..33f50a5 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,71 @@ -# ITensorVisualizationBase +# ITensorVisualizationBase.jl -This is an internal package providing common code for defining backends for visualizing tensor network of ITensors. It is only an interface package, and does not provide concrete implementations of visualizing tensor network code (by default, it does nothing). You will need to load a visualization backend, such as `ITensorUnicodePlots` or `ITensorGLMakie`. The main purpose is to use it with the [ITensors.jl](https://github.com/ITensor/ITensors.jl) package to view and debug tensor network contractions, for example: +[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://itensor.github.io/ITensorVisualizationBase.jl/stable/) +[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://itensor.github.io/ITensorVisualizationBase.jl/dev/) +[![Build Status](https://github.com/ITensor/ITensorVisualizationBase.jl/actions/workflows/Tests.yml/badge.svg?branch=main)](https://github.com/ITensor/ITensorVisualizationBase.jl/actions/workflows/Tests.yml?query=branch%3Amain) +[![Coverage](https://codecov.io/gh/ITensor/ITensorVisualizationBase.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/ITensor/ITensorVisualizationBase.jl) +[![Code Style](https://img.shields.io/badge/code_style-ITensor-purple)](https://github.com/ITensor/ITensorFormatter.jl) +[![Aqua](https://raw.githubusercontent.com/JuliaTesting/Aqua.jl/master/badge.svg)](https://github.com/JuliaTesting/Aqua.jl) + +## Support + + + + Flatiron Center for Computational Quantum Physics logo. + + + +ITensorVisualizationBase.jl is supported by the Flatiron Institute, a division of the Simons Foundation. + +## Installation instructions + +This package resides in the `ITensor/ITensorRegistry` local registry. +In order to install, simply add that registry through your package manager. +This step is only required once. +```julia +julia> using Pkg: Pkg + +julia> Pkg.Registry.add(url = "https://github.com/ITensor/ITensorRegistry") +``` +or: ```julia -using ITensors +julia> Pkg.Registry.add(url = "git@github.com:ITensor/ITensorRegistry.git") +``` +if you want to use SSH credentials, which can make it so you don't have to enter your Github ursername and password when registering packages. + +Then, the package can be added as usual through the package manager: + +```julia +julia> Pkg.add("ITensorVisualizationBase") +``` -# Load a visualization backend, which will reexport the interface -# of ITensorVisualizationBase automatically +## Examples + +This is an internal package providing common code for defining backends for visualizing +tensor networks of ITensors. It is only an interface package, and does not provide +concrete implementations of visualizing tensor network code (by default, it does +nothing). You will need to load a visualization backend, such as `ITensorUnicodePlots` +or `ITensorGLMakie`. The main purpose is to use it with the +[ITensors.jl](https://github.com/ITensor/ITensors.jl) package to view and debug tensor +network contractions, for example: + +````julia +using ITensorVisualizationBase: ITensorVisualizationBase, @visualize +using ITensors: Index, random_itensor +```` + +Load a visualization backend, which will reexport the interface of +`ITensorVisualizationBase` automatically: +```julia using ITensorUnicodePlots +``` + +(we leave the `using ITensorUnicodePlots` line out of this example so it can run in +test environments that do not have the backend installed.) + +`ITensorVisualizationBase` handles the logic of switching between backends: -# ITensorVisualizationBase handles the logic of switching -# between backends. +````julia @show ITensorVisualizationBase.get_backend() i = Index(2, "i") @@ -21,8 +77,10 @@ A = random_itensor(i, j, k) B = random_itensor(i, j, l, m) C = random_itensor(k, l) ABC = @visualize A * B * C -``` -This will execute the contraction and output +```` + +With the `ITensorUnicodePlots` backend loaded, this outputs: + ```julia ITensorVisualizationBase.get_backend() = ITensorVisualizationBase.Backend{:UnicodePlots}()⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ @@ -47,10 +105,13 @@ ITensorVisualizationBase.get_backend() = ITensorVisualizationBase.Backend{:Unico ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ``` + You can show the visualization with tags with: -```julia -ABC = @visualize A * B * C edge_labels=(tags=true,) -``` + +````julia +ABC_tags = @visualize A * B * C edge_labels = (tags = true,) +```` + ```julia ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ @@ -76,15 +137,17 @@ ABC = @visualize A * B * C edge_labels=(tags=true,) ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ ``` -In order to output a more sophisticated interactive visualization, -you can load a Makie-based backend called GLMakie: +In order to output a more sophisticated interactive visualization, you can load a +Makie-based backend called `ITensorGLMakie`: ```julia using ITensorGLMakie -ABC = @visualize A * B * C edge_labels=(tags=true,); +ABC = @visualize A * B * C edge_labels = (tags = true,); ``` + A window like the following should appear: -![alt text](assets/ITensorVisualization_A_B_C.png) + +![alt text](https://raw.githubusercontent.com/ITensor/ITensorVisualizationBase.jl/main/assets/ITensorVisualization_A_B_C.png) You can switch back to another backend like the following: ```julia @@ -93,10 +156,16 @@ julia> ITensorVisualizationBase.set_backend!("UnicodePlots"); julia> ITensorVisualizationBase.get_backend() ITensorVisualizationBase.Backend{:UnicodePlots}() -julia> ABC = @visualize A * B * C edge_labels=(tags=true,) # The visualization will now use the UnicodePlots backend +julia> ABC = @visualize A * B * C edge_labels = (tags = true,) # The visualization will now use the UnicodePlots backend [...] ``` -The visualization makes an initial guess for the locations of the tensors (using [NetworkLayout.jl](https://github.com/JuliaGraphs/NetworkLayout.jl)), and then allows users to interactively move the tensors to better locations. You can move the tensors and external indices (the square and circle nodes of the network) by left clicking on a node and dragging it to a new location. You can also right click and drag to translate the entire diagram, and scroll to zoom in and out. + +The visualization makes an initial guess for the locations of the tensors (using +[NetworkLayout.jl](https://github.com/JuliaGraphs/NetworkLayout.jl)), and then allows +users to interactively move the tensors to better locations. You can move the tensors +and external indices (the square and circle nodes of the network) by left clicking on a +node and dragging it to a new location. You can also right click and drag to translate +the entire diagram, and scroll to zoom in and out. In addition, you can visualize multiple steps of a contraction as follows: ```julia @@ -105,10 +174,16 @@ julia> ITensorVisualizationBase.set_backend!("Makie"); julia> ITensorVisualizationBase.get_backend() ITensorVisualizationBase.Backend{:Makie}() -julia> AB = @visualize fig A * B edge_labels=(tags=true,); +julia> AB = @visualize fig A * B edge_labels = (tags = true,); -julia> ABC = @visualize! fig[1, 2] AB * C edge_labels=(tags=true,); +julia> ABC = @visualize! fig[1, 2] AB * C edge_labels = (tags = true,); julia> fig ``` -![alt text](assets/ITensorVisualization_A_B_C_sequence.png) + +![alt text](https://raw.githubusercontent.com/ITensor/ITensorVisualizationBase.jl/main/assets/ITensorVisualization_A_B_C_sequence.png) + +--- + +*This page was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).* + diff --git a/examples/README.jl b/examples/README.jl index 71d5846..fd5e652 100644 --- a/examples/README.jl +++ b/examples/README.jl @@ -43,5 +43,150 @@ julia> Pkg.add("ITensorVisualizationBase") # ## Examples -using ITensorVisualizationBase: ITensorVisualizationBase -# Examples go here. +# This is an internal package providing common code for defining backends for visualizing +# tensor networks of ITensors. It is only an interface package, and does not provide +# concrete implementations of visualizing tensor network code (by default, it does +# nothing). You will need to load a visualization backend, such as `ITensorUnicodePlots` +# or `ITensorGLMakie`. The main purpose is to use it with the +# [ITensors.jl](https://github.com/ITensor/ITensors.jl) package to view and debug tensor +# network contractions, for example: + +using ITensorVisualizationBase: ITensorVisualizationBase, @visualize +using ITensors: Index, random_itensor + +# Load a visualization backend, which will reexport the interface of +# `ITensorVisualizationBase` automatically: +#= +```julia +using ITensorUnicodePlots +``` +=# + +# (we leave the `using ITensorUnicodePlots` line out of this example so it can run in +# test environments that do not have the backend installed.) + +# `ITensorVisualizationBase` handles the logic of switching between backends: + +@show ITensorVisualizationBase.get_backend() + +i = Index(2, "i") +j = Index(10, "j") +k = Index(40, "k") +l = Index(40, "l") +m = Index(40, "m") +A = random_itensor(i, j, k) +B = random_itensor(i, j, l, m) +C = random_itensor(k, l) +ABC = @visualize A * B * C + +# With the `ITensorUnicodePlots` backend loaded, this outputs: + +#= +```julia +ITensorVisualizationBase.get_backend() = ITensorVisualizationBase.Backend{:UnicodePlots}()⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀A⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⢱⠀⠀⠉⠉⠑⠒⠒⠤⠤⢄⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠑⠒⠒⠤⠤40⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠉⠒⠒⠢⠤⠤⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⠉⠒⠒⠢⠤⠤C⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⠉⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀2⊗10⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔40⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀B⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀40⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ +``` +=# + +# You can show the visualization with tags with: + +ABC_tags = @visualize A * B * C edge_labels = (tags = true,) + +#= +```julia + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀A⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⢱⠀⠀⠉⠉⠑⠒⠒⠤⠤⢄⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠑⠒(40|"k")⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠉⠒⠒⠢⠤⠤⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⢱⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠉⠉⠒⠒⠢⠤⠤C⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⢇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⠤⠒⠉⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠘⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠒⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀(2|"i")⊗(10|"j")⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀(40|"l")⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠸⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀⠀⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⡆⢀⡠⠔⠊⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀B⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀(40|"m")⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ + ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀ +``` +=# + +# In order to output a more sophisticated interactive visualization, you can load a +# Makie-based backend called `ITensorGLMakie`: +#= +```julia +using ITensorGLMakie + +ABC = @visualize A * B * C edge_labels = (tags = true,); +``` + +A window like the following should appear: + +![alt text](https://raw.githubusercontent.com/ITensor/ITensorVisualizationBase.jl/main/assets/ITensorVisualization_A_B_C.png) +=# + +# You can switch back to another backend like the following: +#= +```julia +julia> ITensorVisualizationBase.set_backend!("UnicodePlots"); + +julia> ITensorVisualizationBase.get_backend() +ITensorVisualizationBase.Backend{:UnicodePlots}() + +julia> ABC = @visualize A * B * C edge_labels = (tags = true,) # The visualization will now use the UnicodePlots backend +[...] +``` +=# + +# The visualization makes an initial guess for the locations of the tensors (using +# [NetworkLayout.jl](https://github.com/JuliaGraphs/NetworkLayout.jl)), and then allows +# users to interactively move the tensors to better locations. You can move the tensors +# and external indices (the square and circle nodes of the network) by left clicking on a +# node and dragging it to a new location. You can also right click and drag to translate +# the entire diagram, and scroll to zoom in and out. + +# In addition, you can visualize multiple steps of a contraction as follows: +#= +```julia +julia> ITensorVisualizationBase.set_backend!("Makie"); + +julia> ITensorVisualizationBase.get_backend() +ITensorVisualizationBase.Backend{:Makie}() + +julia> AB = @visualize fig A * B edge_labels = (tags = true,); + +julia> ABC = @visualize! fig[1, 2] AB * C edge_labels = (tags = true,); + +julia> fig +``` + +![alt text](https://raw.githubusercontent.com/ITensor/ITensorVisualizationBase.jl/main/assets/ITensorVisualization_A_B_C_sequence.png) +=#