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Source: deap
Section: python
Priority: optional
Maintainer: Daniel Stender <stender@debian.org>
Uploaders:
Miriam Ruiz <miriam@debian.org>,
Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Build-Depends:
debhelper (>= 9),
dh-python,
python-all,
python3-all,
python-numpy,
python3-numpy,
python-sphinx,
python-matplotlib,
texlive-latex-extra,
dvipng,
rdfind,
symlinks,
pandoc
Standards-Version: 3.9.7
Homepage: http://deap.gel.ulaval.ca/doc/default/
Vcs-Git: https://anonscm.debian.org/git/python-modules/packages/deap.git
Vcs-Browser: https://anonscm.debian.org/cgit/python-modules/packages/deap.git
Package: python-deap
Architecture: all
Depends:
${misc:Depends},
${python:Depends}
Recommends:
python-matplotlib,
python-numpy
Suggests:
deap-doc,
python-scoop
Description: Distributed Evolutionary Algorithms in Python
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the modules for Python.
Package: python3-deap
Architecture: all
Depends:
${misc:Depends},
${python3:Depends}
Recommends:
python3-matplotlib,
python3-numpy
Suggests:
deap-doc,
python3-scoop
Description: Distributed Evolutionary Algorithms in Python3
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the modules for Python3.
Package: deap-doc
Section: doc
Architecture: all
Depends:
${misc:Depends},
${sphinxdoc:Depends}
Recommends:
python-deap,
python3-deap
Conflicts:
python-deap-doc
Replaces:
python-deap-doc
Description: Distributed Evolutionary Algorithms in Python (docs)
DEAP is a novel evolutionary computation framework for rapid prototyping and
testing of ideas. It seeks to make algorithms explicit and data structures
transparent. It works in perfect harmony with parallelisation mechanism such as
multiprocessing and SCOOP.
.
This package contains the documentation.
|
