joblib 0.5.1-1 source package in Ubuntu

Changelog

joblib (0.5.1-1) unstable; urgency=low

  * Fresh upstream release
  * Enforce python_distutils dh buildsystem (upstream has Makefile now)
  * Handle 'nocheck' to avoid build-time testing
  * Install CHANGES.rst as the upstream changelog

joblib (0.4.6-2) unstable; urgency=low

  * Upload to unstable

joblib (0.4.6-1) experimental; urgency=low

  * Upcoming upstream bugfix release
  * Added a patch for older distributions (e.g. lenny) to avoid
    testing 1 failing doctest due non-memmaped automatically arrays
    with older numpy releases

joblib (0.4.5-1) experimental; urgency=low

  * New upstream release
  * debian/control:
    - moved numpy into Recommends
    - point -vcs to github
    - policy boost to 3.9.1 -- no changes
 -- Ubuntu Archive Auto-Sync <email address hidden>   Sat,  30 Apr 2011 12:57:48 +0000

Upload details

Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Oneiric
Original maintainer:
Yaroslav Halchenko
Architectures:
all
Section:
python
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Builds

Oneiric: [FULLYBUILT] i386

Downloads

File Size SHA-256 Checksum
joblib_0.5.1.orig.tar.gz 59.2 KiB 2838038b831922cfc3007437510d2be1be6331f8cc3aec08de8b2f5bf6285334
joblib_0.5.1-1.debian.tar.gz 5.9 KiB ff843ab52763df03082969c8aab8d784c137970c24c8cfee1c02ca9482f255d4
joblib_0.5.1-1.dsc 1.2 KiB ecdd3573b0baffe89b8110c4a16f3ae06769b0804079fcec3316721515ff3af8

Available diffs

View changes file

Binary packages built by this source

python-joblib: tools to provide lightweight pipelining in Python

 Joblib is a set of tools to provide lightweight pipelining in
 Python. In particular, joblib offers:
  - transparent disk-caching of the output values and lazy
    re-evaluation (memoize pattern)
  - easy simple parallel computing
  - logging and tracing of the execution
 .
 Joblib is optimized to be fast and robust in particular on large,
 long-running functions and has specific optimizations for numpy arrays.