A libray to handle the ModelSet dataset of software models
Project description
ModelSet Python Library
This is a library to easily integrate ModelSet with Python.
Install from pip
Simply:
pip install modelset-py
python -m modelset.downloader
Install from Sources
To install from sources, follow these steps:
cd modelset-py
python -m pip install .
python -m modelset.downloader
Usage without installing
This option is useful if you are making changes to the source code of the library while you build an application.
In this case, you can do the following:
pip install -r requirements.txt
python src/modelset/downloader.py
To import the library, you have to place this in your Python script:
sys.path.append("/path/to/modelset-py/src")
from modelset import load
Running the tests
To be able to execute the tests placed in the tests
folder, the dataset has to be in you computer (i.e.,
you should have executed either python -m modelset.downloader
or python src/modelset/downloader.py
).
python -m unittest discover
Examples
Please, checkout http://github.com/modelset/modelset-apps
- Tutorial to use ModelSet to infer the category Ecore meta-models: https://github.com/modelset/modelset-apps/tree/master/python
Project details
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