Skip to main content

Petri Net Model Generation Library for Auto-Twin

Project description

PyPI - Python Version

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.

  1. Install autotwin_gmglib by following the instructions provided here.
  2. 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autotwin_pnglib-0.1.0.tar.gz (10.2 kB view details)

Uploaded Source

Built Distribution

autotwin_pnglib-0.1.0-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file autotwin_pnglib-0.1.0.tar.gz.

File metadata

  • Download URL: autotwin_pnglib-0.1.0.tar.gz
  • Upload date:
  • Size: 10.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.14 Windows/10

File hashes

Hashes for autotwin_pnglib-0.1.0.tar.gz
Algorithm Hash digest
SHA256 eb933ace85fe2d88f01f25b1076c0946d48729782e020f5cba7f99886f45c687
MD5 117f4e1e39a53c94822682d15262a091
BLAKE2b-256 c6efc071aed3606a1d453ff94bb120c6c68ed9c7aeed23775b43186da8fc6a4e

See more details on using hashes here.

File details

Details for the file autotwin_pnglib-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: autotwin_pnglib-0.1.0-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

Hashes for autotwin_pnglib-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d9515662a91ed05e5a41c0d6db5adf36adae608a993916fce2f3976bbae8c79c
MD5 5d6875957fdcf91564467e8391d61a6c
BLAKE2b-256 0e5369642f712a2f162df3c4a30b0202d9ae2eb4145ce67dc2e61366bc9f29d2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page