deap 1.0.2.post2-5 source package in Ubuntu

Changelog

deap (1.0.2.post2-5) unstable; urgency=medium

  * Team upload.
  * deb/control: restore Miriam as Maintainer.
  * deb/gbp.conf: remove duplicated field.

 -- Daniel Stender <email address hidden>  Mon, 24 Jul 2017 18:49:20 +0200

Upload details

Uploaded by:
Miriam Ruiz on 2017-07-25
Uploaded to:
Sid
Original maintainer:
Miriam Ruiz
Architectures:
all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Disco release on 2018-10-30 universe python
Cosmic release on 2018-05-01 universe python
Bionic release on 2017-10-24 universe python
Artful release on 2017-07-25 universe python

Builds

Artful: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
deap_1.0.2.post2-5.dsc 2.2 KiB 58c7d8dd0ce29fb32ffce9956cd0dc1f2dc7729f94711e5f68b70cf9faeba2e1
deap_1.0.2.post2.orig.tar.xz 716.1 KiB 5885b8da7cfcf7886fb7301ae5604c9ddb1fb233f32734df119f8d216ef038e2
deap_1.0.2.post2-5.debian.tar.xz 8.1 KiB f315062e32a149d32c8f6e1cdfef48350dc7c3976e7e3d13e344739bb32f4034

Available diffs

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: 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.

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.