deap 1.0.1-4 source package in Ubuntu

Changelog

deap (1.0.1-4) unstable; urgency=medium

  * deb/control:
    + Uploaders: added missing group belonging.
    + updated Vcs fields (moved to git).
    + added python{,3}-scoop to Suggests.
  * deb/copyright: removed trailing commas, updated.
  * deb/watch: watch pypi.debian.net.
  * Symlinks for docs package to reduce file redundancy:
    + deb/control: added rdfind and symlinks to b-deps.
    + deb/rules: added auto symlink creation to dh_auto_install override.
  * fix-docs.patch:
    + enabled and updated extlinks for examples.
    + don't produce PDFs by Matplotlib (Closes: #775303).
  * Autopkgtests:
    + activated Python deprecation warnings.
    + iterate unittests over py{,3}versions.

 -- Daniel Stender <email address hidden>  Fri, 08 May 2015 19:50:28 +0200

Upload details

Uploaded by:
Daniel Stender
Uploaded to:
Sid
Original maintainer:
Daniel Stender
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Xenial release universe python

Builds

Xenial: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
deap_1.0.1-4.dsc 2.2 KiB 9c5e8600224268b6a029bf1cbf70ac0523e0e1d00c3f1477205136d5ea74b0f9
deap_1.0.1.orig.tar.gz 828.6 KiB 142ba4139b9d4adfab842b8d2192adf991d95998ccfb78f14155e3d2eed91fb2
deap_1.0.1-4.debian.tar.xz 7.0 KiB 81ccb86dcbadb5f28627790f0e9fac711eb761d348761231427a170ec6a676d7

No changes file available.

Binary packages built by this source

deap-doc: 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.

python-deap: No summary available for python-deap in ubuntu yakkety.

No description available for python-deap in ubuntu yakkety.

python3-deap: 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.