Plasm.jl

Graphics module to visualize LinearAlgebraicRepresentation.jl structures via PyPLaSM python package.

Version

0.1.0

Installing

Follow the simple README instructions, depending on your Python installation, to install pyplasm from https://github.com/plasm-language/pyplasm repo.

In a Julia console:

using Pkg
Pkg.add(PackageSpec(url="https://github.com/cvdlab/Plasm.jl", rev="master")) 
using Plasm

API

Include the module (using Plasm).

Authors

• Giorgio Scorzelli
• Alberto Paoluzzi
• Francesco Furiani

How to contribute

Fork this repo and send a pull request.

Developers only

Setup for windows (change path as needed):

"C:\Program Files\Microsoft Visual Studio\2022\Professional\VC\Auxiliary\Build\vcvars64.bat"
c:\Julia-1.8.5\bin\julia.exe

Test pyplasm:

using Pkg
Pkg.add("PyCall")
Pkg.build("PyCall")
Pkg.build("Conda")
using PyCall 
@pyimport math     
print(math.sin(90))
using Conda
Conda.add("pyplasm",channel="scrgiorgio") 
@pyimport pyplasm  
pyplasm.VIEW(pyplasm.CUBOID([1,1,1]))

Test all packages:

• see https://github.com/cvdlab/Plasm.jl
• see https://juliahub.com/ui/Packages

using Pkg

Pkg.add("ModernGL")
using ModernGL

Pkg.add("GLFW")
using GLFW

Pkg.add("PyCall")
using PyCall

Pkg.add("IntervalTrees")
using IntervalTrees

Pkg.add("SparseArrays")
using SparseArrays

Pkg.add("Revise")
using Revise

Pkg.add("NearestNeighbors")
using NearestNeighbors

Pkg.add("DataStructures")
using DataStructures

Pkg.add("LinearAlgebra")
using LinearAlgebra

Pkg.add(PackageSpec(url="https://github.com/cvdlab/Triangle.jl", rev="master")) 
Pkg.build("Triangle")
using Triangle

Pkg.add(PackageSpec(url="https://github.com/cvdlab/LinearAlgebraicRepresentation.jl", rev="master")) 
Pkg.build("LinearAlgebraicRepresentation")
using LinearAlgebraicRepresentation

Pkg.add(PackageSpec(url="https://github.com/cvdlab/Plasm.jl", rev="master")) 
Pkg.build("Plasm")
using Plasm