Source: filterpy
Section: python
Maintainer: Debian Python Team <team+python@tracker.debian.org>
Uploaders:
 Anton Gladky <gladk@debian.org>,
Build-Depends:
 debhelper-compat (= 13),
 dh-python,
 python3-all,
 python3-matplotlib,
 python3-numpy,
 python3-numpydoc,
 python3-scipy,
 python3-setuptools,
 python3-sphinx,
 sphinx-common,
 libjs-mathjax,
Standards-Version: 4.7.4
Homepage: https://github.com/rlabbe/filterpy
Vcs-Browser: https://salsa.debian.org/python-team/packages/filterpy
Vcs-Git: https://salsa.debian.org/python-team/packages/filterpy.git

Package: python3-filterpy
Architecture: all
Depends:
 ${misc:Depends},
 ${python3:Depends},
 python3-matplotlib,
 python3-numpy,
 python3-scipy,
Description: Kalman filtering and optimal estimation library
 FilterPy implements several Kalman filter variants and related optimal
 estimation algorithms in pure Python with pedagogically clear code.
 .
 Supported algorithms include: discrete Kalman filter, extended Kalman
 filter, unscented Kalman filter, ensemble Kalman filter, fixed-lag
 smoother, g-h filter, H-infinity filter, and particle filters.
 .
 The library is designed for students and researchers who want to
 understand and use Kalman filtering without sacrificing readability.

Package: python3-filterpy-doc
Section: doc
Architecture: all
Depends:
 ${misc:Depends},
 ${sphinxdoc:Depends},
 libjs-mathjax,
Suggests:
 python3-filterpy,
Description: Kalman filtering and optimal estimation library (documentation)
 FilterPy implements several Kalman filter variants and related optimal
 estimation algorithms in pure Python with pedagogically clear code.
 .
 This package contains the HTML documentation generated by Sphinx.