Source: joblib
Section: python
Priority: optional
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: debhelper (>= 9),
               python-all (>= 2.5), python-setuptools(>= 0.6), python-pytest, python-numpy,
               python3-all (>= 2.5), python3-setuptools(>= 0.6), python3-pytest, python3-numpy,
               python-psutil, python3-psutil,
               python-lz4,
               cython, cython3,
               procps,
Standards-Version: 4.0.0
Homepage: http://packages.python.org/joblib/
X-Python-Version: >=2.6
X-Python3-Version: >=3.3
Vcs-Git: git://github.com/yarikoptic/joblib.git
Vcs-Browser: http://github.com/yarikoptic/joblib


Package: python-joblib
Architecture: all
Depends: ${python:Depends}, ${misc:Depends}, procps
Recommends:
 python-numpy, python-pytest, python-simplejson,
 python-lz4, python-psutil,
Description: 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.
 .
 This package contains the Python 2 version.

Package: python3-joblib
Architecture: all
Depends: ${python3:Depends}, ${misc:Depends}, procps
Recommends: python3-numpy, python3-pytest, python3-simplejson,
 python3-psutil,
Description: 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.
 .
 This package contains the Python 3 version.