Source: symfit
Section: python
Priority: optional
Maintainer: Stephan Lachnit <stephanlachnit@debian.org>
Uploaders: Debian Science Team <debian-science-maintainers@lists.alioth.debian.org>
Build-Depends: debhelper-compat (= 13),
               dh-python,
               dh-sequence-python3,
               dh-sequence-sphinxdoc,
               python3-all,
               python3-setuptools,
               python3-pbr,
               python3-pytest,
               python3-numpy,
               python3-scipy,
               python3-six,
               python3-sympy,
               python3-toposort,
               pandoc,
               python3-ipykernel,
               python3-matplotlib,
               python3-nbsphinx,
               python3-sphinx,
               python3-doc,
               python-sympy-doc,
               python-scipy-doc,
               python-matplotlib-doc,
Rules-Requires-Root: no
Standards-Version: 4.6.0.1
Vcs-Git: https://salsa.debian.org/science-team/symfit.git
Vcs-Browser: https://salsa.debian.org/science-team/setzer
Homepage: https://github.com/tBuLi/symfit
Testsuite: autopkgtest-pkg-python

Package: python3-symfit
Architecture: all
Depends: ${python3:Depends},
         ${misc:Depends},
Description: Symbolic Fitting in Python, fitting as it should be
 The goal of this project is simple: to make fitting in Python pythonic.
 .
 The project aims to marry the power of scipy.optimize with the readability of
 sympy to create a highly readable and easy to use fitting package which works
 for projects of any scale.

Package: python3-symfit-doc
Section: doc
Architecture: all
Built-Using: ${sphinxdoc:Built-Using},
Depends: ${sphinxdoc:Depends},
         ${misc:Depends},
         libjs-mathjax,
         libjs-requirejs,
         python3-doc,
         python-sympy-doc,
         python-scipy-doc,
         python-matplotlib-doc,
Description: Symbolic Fitting in Python, fitting as it should be - documentation
 The goal of this project is simple: to make fitting in Python pythonic.
 .
 The project aims to marry the power of scipy.optimize with the readability of
 sympy to create a highly readable and easy to use fitting package which works
 for projects of any scale.
 .
 This package contains documentation for the symfit library.
