Petri Net Model Generation Library for Auto-Twin
Project description
Petri Net Model Generation Library for Auto-Twin
Introduction
The Petri Net Model Generation Library is a Python package designed to create, manipulate, and export Petri net models to a Neo4j database.
Installation
To facilitate installation, the PMS WSGI is released as a Python module, autotwin_pmswsgi, in the PyPI repository.
autotwin_pnglib has implicit dependencies on autotwin_gmglib and the optimization solver SCIP. These dependencies cannot be automatically resolved by pip and must be installed manually.
- Install
autotwin_gmglibby following the instructions provided here. - Install SCIP by following the instructions here. Using the precompiled binary for version 9.1.0 is sufficient.
Once autotwin_gmglib and SCIP are installed, you can easily install the other required Python packages with:
pip install -r requirements.txt
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file autotwin_pnglib-0.1.2.tar.gz.
File metadata
- Download URL: autotwin_pnglib-0.1.2.tar.gz
- Upload date:
- Size: 10.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.10.14 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e3c337ca7b02485cc6dfa32b4464027a886e80ba1b1bd565884b691c95adbe79
|
|
| MD5 |
0ab3b8f7f606218cc0aa4bed64be0eb8
|
|
| BLAKE2b-256 |
0e47e87f4d9aeea040a11f9426686e4fda30e35e7ab265afedc2fc01f8f461ab
|
File details
Details for the file autotwin_pnglib-0.1.2-py3-none-any.whl.
File metadata
- Download URL: autotwin_pnglib-0.1.2-py3-none-any.whl
- Upload date:
- Size: 10.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.3 CPython/3.10.14 Windows/10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4a88b9fc53fadd7cdd35da1be732a1d60520e17f7cf25fb66558dd42d9cc229a
|
|
| MD5 |
fd131c91c4215aef5f3789c7fea1c21e
|
|
| BLAKE2b-256 |
7330de846e28b21548d3f3e8f13c95b2932b6348ce8d350b5ba4b13287bcdeb5
|
