Source: ffc Section: python Priority: optional Maintainer: Debian Science Team Uploaders: Johannes Ring , Drew Parsons Build-Depends: debhelper (>= 12), dh-python, python3-all (>= 3.5), python3-setuptools Standards-Version: 4.3.0 Homepage: http://fenicsproject.org Vcs-Git: https://salsa.debian.org/science-team/fenics/ffc.git Vcs-Browser: https://salsa.debian.org/science-team/fenics/ffc Package: python3-ffc Architecture: all Depends: python3-fiat (>= ${fenics:Upstream-Version}), python3-fiat (<< ${fenics:Next-Upstream-Version}), python3-ufl (>= ${fenics:Upstream-Version}), python3-ufl (<< ${fenics:Next-Upstream-Version}), python3-dijitso (>= ${fenics:Upstream-Version}), python3-dijitso (<< ${fenics:Next-Upstream-Version}), python3-numpy, ${python3:Depends}, ${misc:Depends} Conflicts: python-ffc (<< 2018.1~) Replaces: python-ffc Description: compiler for finite element variational forms (Python 3) The FEniCS Form Compiler FFC provides state-of-the-art automatic and efficient evaluation of general multilinear forms (variational formulations) for FEniCS. FFC functions as the form evaluation system for DOLFIN but can also be used to compile forms for other systems. . FFC works as a compiler for multilinear forms by generating code (C or C++) for the evaluation of a multilinear form given in mathematical notation. This new approach to form evaluation makes it possible to combine generality with efficiency; the form can be given in mathematical notation and the generated code is as efficient as hand-optimized code. . This package installs the library for Python 3. Package: python-ffc Architecture: all Depends: python3-ffc (>= 2018.1), ${misc:Depends} Description: compiler for finite element variational forms The FEniCS Form Compiler FFC provides state-of-the-art automatic and efficient evaluation of general multilinear forms (variational formulations) for FEniCS. FFC functions as the form evaluation system for DOLFIN but can also be used to compile forms for other systems. . FFC works as a compiler for multilinear forms by generating code (C or C++) for the evaluation of a multilinear form given in mathematical notation. This new approach to form evaluation makes it possible to combine generality with efficiency; the form can be given in mathematical notation and the generated code is as efficient as hand-optimized code. . This is a dummy package that depends on python3-ffc. (FFC is no longer available library for Python 2).