https://github.com/samuelsonric/nesteduwds.jl
https://github.com/samuelsonric/nesteduwds.jl
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/samuelsonric/nesteduwds.jl
- Owner: samuelsonric
- Created: 2024-02-19T03:19:31.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-21T16:31:52.000Z (over 2 years ago)
- Last Synced: 2026-01-31T01:52:53.082Z (4 months ago)
- Language: Julia
- Size: 23.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NestedUWDs.jl
NestedUWDs.jl is a library for factorizing undirected wiring diagrams. The following example is taken from Spivak, Dobson, Kumari, and Wu, *Pixel Arrays*.
```julia
using Catlab
using NestedUWDs
diagram = @relation (a, b, j) begin
A(a, c)
B(b, c)
C(c, d, e)
D(d, e, f)
G(f, g)
F(g, h, i)
E(h, i, j)
end
nuwd = NestedUWD(diagram)
to_graphviz(diagram; box_labels=:name, junction_labels=:variable)
```
```julia
to_graphviz(makeschedule(nuwd); labels=true)
```
The constructor `NestedUWD` factorizes an undirected wiring diagram as a nested collection of undirected wiring diagrams. The function `makeschedule` represents the nesting structure of the collection as a directed wiring diagram. The function `evalschedule` evaluates the collection.
```julia
using CategoricalTensorNetworks
a = 2
b = 2
j = 2
c = d = e = f = g = h = i = 10
generators = Dict{Symbol, Array{Float64}}(
:A => randn((a, c)),
:B => randn((b, c)),
:C => randn((c, d, e)),
:D => randn((d, e, f)),
:G => randn((f, g)),
:F => randn((g, h, i)),
:E => randn((h, i, j)))
evalschedule(nuwd, generators)
```