Source: python-salib
Section: python
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
 Michael Fladischer <fladi@debian.org>,
Build-Depends:
 debhelper-compat (= 13),
 dh-sequence-python3,
 dh-sequence-sphinxdoc,
 pybuild-plugin-pyproject,
 python-matplotlib-doc,
 python-numpy-doc,
 python-pandas-doc,
 python-scipy-doc,
 python-sklearn-doc,
 python3-all,
 python3-argparse-manpage,
 python3-doc,
 python3-hatchling,
 python3-matplotlib,
 python3-myst-parser,
 python3-numpy,
 python3-numpydoc,
 python3-pandas,
 python3-pathos,
 python3-pydata-sphinx-theme,
 python3-pytest,
 python3-scipy,
 python3-setuptools,
 python3-sklearn,
 python3-sphinx,
 sphinx-doc,
Standards-Version: 4.7.4
Homepage: https://github.com/salib/salib
Vcs-Browser: https://salsa.debian.org/python-team/packages/python-salib
Vcs-Git: https://salsa.debian.org/python-team/packages/python-salib.git
Testsuite: autopkgtest-pkg-pybuild

Package: python3-salib
Architecture: all
Depends:
 ${misc:Depends},
 ${python3:Depends},
Suggests:
 python-salib-doc,
Description: Sensitivity Analysis Library (Python3 version)
 SALib is an open source library written in Python for performing sensitivity
 analyses. SALib provides a decoupled workflow, meaning it does not directly
 interface with the mathematical or computational model. Instead, SALib is
 responsible for generating the model inputs, using one of the sample
 functions, and computing the sensitivity indices from the model outputs, using
 one of the analyze functions. SALib provides several sensitivity analysis
 methods, such as Sobol, Morris, and FAST.
 .
 This package contains the Python 3 version of the library.

Package: python-salib-doc
Section: doc
Architecture: all
Depends:
 ${misc:Depends},
 ${sphinxdoc:Depends},
Description: Sensitivity Analysis Library (Documentation)
 SALib is an open source library written in Python for performing sensitivity
 analyses. SALib provides a decoupled workflow, meaning it does not directly
 interface with the mathematical or computational model. Instead, SALib is
 responsible for generating the model inputs, using one of the sample
 functions, and computing the sensitivity indices from the model outputs, using
 one of the analyze functions. SALib provides several sensitivity analysis
 methods, such as Sobol, Morris, and FAST.
 .
 This package contains the documentation.