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Source: joblib
Section: python
Priority: optional
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: debhelper (>= 7.0.50~),
python-all (>= 2.5), python-setuptools(>= 0.6), python-pytest, python-numpy,
python3-all (>= 2.5), python3-setuptools(>= 0.6), python3-pytest, python3-numpy,
Standards-Version: 3.9.8
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}
Recommends: python-numpy, python-pytest, python-simplejson
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}
Recommends: python3-numpy, python3-pytest, python3-simplejson
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.
|
