ffc 2017.1.0-2 source package in Ubuntu

Changelog

ffc (2017.1.0-2) unstable; urgency=medium

  * Team upload.
  * Standards-Version: 4.1.0
  * debhelper compatibility level 10

 -- Drew Parsons <email address hidden>  Sat, 09 Sep 2017 14:38:56 +0800

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Builds

Bionic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
ffc_2017.1.0-2.dsc 2.1 KiB 548553bac4734ef9b1778ea6a11c76625d2061d70736f32060b624be68dfbd8f
ffc_2017.1.0.orig.tar.gz 1.3 MiB 2073c4d8f998798a3b0a8a371e74d9848f0e52933cf5f35cee21e82ab3fe87b3
ffc_2017.1.0-2.debian.tar.xz 12.3 KiB 608dc1c853028153955c1c45fa9f3d48afe1ee4b1bae7c46144bc1043578f257

Available diffs

No changes file available.

Binary packages built by this source

python-ffc: compiler for finite element variational forms (Python 2)

 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 2.

python3-ffc: 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.