[metadata]
name = bayesvalidrox
version = 1.0.0
author = Farid Mohammadi, Rebecca Kohlhaas
author_email = farid.mohammadi@iws.uni-stuttgart.de, rebecca.kohlhaas@iws.uni-stuttgart.de
description = An open-source, object-oriented Python package for surrogate-assisted Bayesain Validation of computational models.
long_description = file: README.md
long_description_content_type = text/markdown
url = https://git.iws.uni-stuttgart.de/inversemodeling/bayesian-validation
Bug Tracker = https://git.iws.uni-stuttgart.de/inversemodeling/bayesian-validation/-/issues
classifiers =
    Programming Language :: Python :: 3
    License :: OSI Approved :: MIT License
    Operating System :: OS Independent

[options]
include_package_data = True
package_dir =
    = src
packages = find:
python_requires = >=3.8
install_requires =
   numpy>=1.23.5
   pandas==1.4.4
   joblib==1.1.1
   matplotlib==3.8.0
   seaborn==0.11.1
   scipy>=1.11.1
   scikit-learn==1.3.1
   tqdm>=4.61.1
   chaospy==4.3.3
   emcee==3.0.2
   corner==2.2.1
   h5py==3.9.0
   statsmodels==0.14.2
   multiprocess==0.70.16
   datasets==2.20.0
   umbridge==1.2.4
[options.packages.find]
where = src

[options.package_data]
* = *.mplstyle