The OpenCLSim package aims to facilitate rule based planning of cyclic activities and in depth comparison of different system concepts.
Project description
OpenCLSim
Complex Logistics Simulation - Rule based planning of cyclic activities for in-depth comparison of different system concepts.
Documentation can be found here.
Installation
To install OpenCLSim, run this command in your terminal:
pip install openclsim
This is the preferred method to install OpenCLSim, as it will always install the most recent stable release.
If you don’t have pip installed, this Python installation guide can guide you through the process.
You can read the documentation for other installation methods.
Example notebooks
The benefit of OpenCLSim is the generic set-up. This set-up allows the creation of complex logistical flows. A number of examples are presented in the notebooks folder. You can run them locally or as an Azure notebook.
Start server
A flask server is part of the OpenCLSim package. The example code below lets you start the Flask server from the windows command line, for other operation systems please check the Flask Documentation.
# Set Flask app
set FLASK_APP=openclsim/server.py
# Set Flask environment
set FLASK_ENV=development
# Run Flask
flask run
Project details
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 Distributions
Hashes for openclsim-0.3.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f67764850abb9f7fbbe549b68a2ec07bad99d9ff2127d83e215f17d4788b3d4d |
|
MD5 | ec1e9414e82ec4cd8e22bfc7bbe24b39 |
|
BLAKE2b-256 | c2eaf53db5d18dad1f1a0a956edbe3cd80b6621a8b7b7b3125195432e010eda3 |