We envision GDPlib as an open library of GDP models to provide examples for prospective modelers, and to provide a benchmarking set for algorithm developers. We invite contributions to this library from the community, provided under the same BSD-3-clause or compatible license.

GDPlib is an installable model library in Python. To install GDPlib, you can use:

pip install gdplib

To update GDPlib:

pip install --upgrade gdplib

For a developer install, please clone this repository, activate the correct python environment, and run python setup.py develop on the setup.py file in this directory.

Details for each model are given in a separate README.md file in each directory. Navigate to these directories to read the files.

Once GDPlib is installed, functions for constructing the desired models can be imported from each of the main subpackages. For example, biofuel/__init__.py exposes a build_model function, allowing the user to write the following:

from gdplib.biofuel import build_model as build_biofuel_model
pyomo_model = build_biofuel_model()

To add new models to the library, the following steps should be taken:

1. Ensure that you have the requisite permissions to contribute the model to an open source library.
2. Add your files into one of the existing directories or a new project directory: gdplib/mynewmodel.
3. If a new directory is created, add the corresponding import to gdplib/__init__.py.
4. Within your project directory, add the requisite imports and edits to the __all__ statement in gdplib/mynewmodel/__init__.py to expose the appropriate build functions. See the other project directories for examples.
5. Within your project directory, create a README.md file describing the new model.

Directories are free to implement their own subpackages.

Note that __main__ scripts within projects (i.e. those that you plan to execute directly) will need to use absolute imports rather than relative imports. For example, in gdplib/gdp_col/main.py, we need to write from gdplib.gdp_col.fenske import calculate_Fenske rather than from .fenske import calculate_Fenske.