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Interactive visualization of AbstractTensorNetwork with Vega #261

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Interactive visualization of AbstractTensorNetwork with Vega #261

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38558c3
Init visualization in VSCode with ECharts
mofeing Sep 24, 2024
fc05973
Remove Pkg.Artifacts for now
mofeing Sep 24, 2024
247b6fd
Locally provide `echarts.js` library
mofeing Sep 25, 2024
a56aa2a
Some aesthetic enhancements
mofeing Sep 25, 2024
53ec4bc
Support `text/html` MIME
mofeing Sep 25, 2024
433e0a8
Fix symbol clash with Graphs
mofeing Sep 25, 2024
19e026d
Initial changes
mofeing Sep 26, 2024
a2f3544
Replace ECharts_jll for Vega Lite vizualization
mofeing Nov 23, 2024
9fef475
fix edges to ghost nodes
mofeing Nov 23, 2024
a38bb2e
fixes for Vega MIME
mofeing Nov 23, 2024
a7b18ac
fix
mofeing Nov 23, 2024
31dfa8b
fix GraphMakie extension call to `graph_representation`
mofeing Nov 24, 2024
887aa8f
refactor vega+json spec generation
mofeing Nov 24, 2024
7451afe
fixes and more customization for vega plots
mofeing Nov 24, 2024
786e3e4
add kroki and abbr support for markdown
mofeing Nov 24, 2024
48e3358
fix typo
mofeing Nov 24, 2024
e6d6f0c
refactor kroki diagram
mofeing Nov 24, 2024
e702f52
refactor plots
mofeing Nov 25, 2024
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2 changes: 2 additions & 0 deletions Project.toml
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,6 +13,7 @@ Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
KeywordDispatch = "5888135b-5456-5c80-a1b6-c91ef8180460"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
OMEinsum = "ebe7aa44-baf0-506c-a96f-8464559b3922"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ScopedValues = "7e506255-f358-4e82-b7e4-beb19740aa63"
Serialization = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
Expand Down Expand Up @@ -76,6 +77,7 @@ KrylovKit = "0.7, 0.8"
LinearAlgebra = "1.10"
Makie = "0.18,0.19,0.20, 0.21"
OMEinsum = "0.7, 0.8"
OrderedCollections = "1.6.3"
PythonCall = "0.9"
Quac = "0.3"
Random = "1.10"
Expand Down
340 changes: 340 additions & 0 deletions demo.ipynb
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Original file line number Diff line number Diff line change
@@ -0,0 +1,340 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"using Tenet"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"true"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"istextmime(MIME\"application/vnd.vegalite.v3+json\"())"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.vegalite.v3+json": {
"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"values": [
{
"a": "A",
"b": 28
},
{
"a": "B",
"b": 55
},
{
"a": "C",
"b": 43
},
{
"a": "D",
"b": 91
},
{
"a": "E",
"b": 81
},
{
"a": "F",
"b": 53
},
{
"a": "G",
"b": 19
},
{
"a": "H",
"b": 87
},
{
"a": "I",
"b": 52
}
]
},
"description": "A simple bar chart with embedded data.",
"encoding": {
"x": {
"axis": {
"labelAngle": 0
},
"field": "a",
"type": "nominal"
},
"y": {
"field": "b",
"type": "quantitative"
}
},
"mark": "bar"
},
"text/plain": [
"TensorNetwork (#tensors=10, #inds=25)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tn = rand(TensorNetwork, 10, 5)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"true"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"showable(MIME\"application/vnd.vegalite.v3+json\"(), tn)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [],
"source": [
"struct E end\n",
"\n",
"function Base.show(io::IO, ::MIME\"application/vnd.vegalite.v3+json\", ::E)\n",
" println(io, \"\"\"{\n",
" \"\\$schema\": \"https://vega.github.io/schema/vega-lite/v3.json\",\n",
" \"data\": {\n",
" \"values\": [\n",
" {\"a\": \"C\", \"b\": 2},\n",
" {\"a\": \"C\", \"b\": 7},\n",
" {\"a\": \"C\", \"b\": 4},\n",
" {\"a\": \"D\", \"b\": 1},\n",
" {\"a\": \"D\", \"b\": 2},\n",
" {\"a\": \"D\", \"b\": 6},\n",
" {\"a\": \"E\", \"b\": 8},\n",
" {\"a\": \"E\", \"b\": 4},\n",
" {\"a\": \"E\", \"b\": 7}\n",
" ]\n",
" },\n",
" \"mark\": \"point\",\n",
" \"encoding\": {}\n",
" }\"\"\")\n",
"end"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"true"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"showable(MIME\"application/vnd.vegalite.v3+json\"(), E())"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.vegalite.v3+json": {
"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"values": [
{
"a": "C",
"b": 2
},
{
"a": "C",
"b": 7
},
{
"a": "C",
"b": 4
},
{
"a": "D",
"b": 1
},
{
"a": "D",
"b": 2
},
{
"a": "D",
"b": 6
},
{
"a": "E",
"b": 8
},
{
"a": "E",
"b": 4
},
{
"a": "E",
"b": 7
}
]
},
"encoding": {},
"mark": "point"
},
"text/plain": [
"E()"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"E()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.vegalite.v3+json": {
"$schema": "https://vega.github.io/schema/vega-lite/v3.json",
"data": {
"values": [
{
"a": "A",
"b": 28
},
{
"a": "B",
"b": 55
},
{
"a": "C",
"b": 43
},
{
"a": "D",
"b": 91
},
{
"a": "E",
"b": 81
},
{
"a": "F",
"b": 53
},
{
"a": "G",
"b": 19
},
{
"a": "H",
"b": 87
},
{
"a": "I",
"b": 52
}
]
},
"description": "A simple bar chart with embedded data.",
"encoding": {
"x": {
"axis": {
"labelAngle": 0
},
"field": "a",
"type": "nominal"
},
"y": {
"field": "b",
"type": "quantitative"
}
},
"mark": "bar"
},
"text/plain": [
"TensorNetwork (#tensors=10, #inds=25)"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tn"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Julia 1.10.5",
"language": "julia",
"name": "julia-1.10"
},
"language_info": {
"file_extension": ".jl",
"mimetype": "application/julia",
"name": "julia",
"version": "1.10.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
1 change: 0 additions & 1 deletion docs/Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,6 @@ DocumenterCitations = "daee34ce-89f3-4625-b898-19384cb65244"
DocumenterVitepress = "4710194d-e776-4893-9690-8d956a29c365"
EinExprs = "b1794770-133b-4de1-afb4-526377e9f4c5"
GraphMakie = "1ecd5474-83a3-4783-bb4f-06765db800d2"
Kroki = "b3565e16-c1f2-4fe9-b4ab-221c88942068"
Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"
Tenet = "85d41934-b9cd-44e1-8730-56d86f15f3ec"
Expand Down
3 changes: 1 addition & 2 deletions docs/make.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,7 @@ using Documenter
using DocumenterVitepress
using DocumenterCitations
using Tenet
using CairoMakie
using GraphMakie
using Makie
using LinearAlgebra

DocMeta.setdocmeta!(Tenet, :DocTestSetup, :(using Tenet); recursive=true)
Expand Down
2 changes: 2 additions & 0 deletions docs/package.json
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,10 @@
"docs:preview": "vitepress preview build/.documenter"
},
"dependencies": {
"@kazumatu981/markdown-it-kroki": "^1.3.5",
"@shikijs/transformers": "^1.1.7",
"markdown-it": "^14.1.0",
"markdown-it-abbr": "^2.0.0",
"markdown-it-footnote": "^4.0.0",
"markdown-it-mathjax3": "^4.3.2",
"vitepress": "^1.1.4",
Expand Down
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