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Source: joblib
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
Yaroslav Halchenko <debian@onerussian.com>,
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends:
debhelper-compat (= 13),
dh-sequence-python3,
cython3,
procps,
pybuild-plugin-pyproject,
python3-all,
python3-lz4,
python3-numpy,
python3-psutil,
python3-pytest <!nocheck>,
python3-pytest-asyncio <!nocheck>,
python3-setuptools,
python3-threadpoolctl <!nocheck>,
Build-Depends-Indep:
dh-sequence-sphinxdoc,
python-distributed-doc,
python-numpy-doc,
python-scipy-doc,
python3-doc,
python3-numpydoc,
python3-pandas,
python3-sphinx,
python3-sphinx-autodoc-typehints,
python3-sphinx-gallery,
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/joblib
Vcs-Git: https://salsa.debian.org/science-team/joblib.git
Homepage: https://github.com/joblib/joblib
X-Style: black
Package: python3-joblib
Architecture: all
Depends:
procps,
${misc:Depends},
${python3:Depends},
Recommends:
python3-numpy,
python3-psutil,
python3-pytest,
Suggests:
python-joblib-doc,
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.
Package: python-joblib-doc
Section: doc
Architecture: all
Multi-Arch: foreign
Depends:
${misc:Depends},
${sphinxdoc:Depends},
Suggests:
python-numpy-doc,
python-scipy-doc,
python3-doc,
python3-joblib,
Description: tools to provide lightweight pipelining in Python -- docs
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 documentation for joblib.
|
