python3-joblib-0.12.1-9.1.noarch.rpm


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Description

python3-joblib - Lightweight pipelining: using Python functions as pipeline jobs

Property Value
Distribution openSUSE Leap 42.3
Repository Science all
Package filename python3-joblib-0.12.1-9.1.noarch.rpm
Package name python3-joblib
Package version 0.12.1
Package release 9.1
Package architecture noarch
Package type rpm
Category Development/Languages/Python
Homepage https://github.com/joblib/joblib
License BSD-3-Clause
Maintainer -
Download size 356.20 KB
Installed size 1.73 MB
Joblib is a set of tools to provide lightweight pipelining in
Python. In particular, joblib offers:
1. transparent disk-caching of the output values and lazy re-evaluation
(memoize pattern)
2. parallel computing
3. logging and tracing of the execution
Joblib can handle large data and has specific optimizations for `numpy` arrays.

Alternatives

Package Version Architecture Repository
python3-joblib - - -

Requires

Name Value
python(abi) = 3.4

Provides

Name Value
python3-joblib = 0.12.1-9.1

Download

Type URL
Mirror widehat.opensuse.org
Binary Package python3-joblib-0.12.1-9.1.noarch.rpm
Source Package python-joblib-0.12.1-9.1.src.rpm

Install Howto

  1. Add the Science repository:
    # zypper addrepo http://widehat.opensuse.org/opensuse/repositories/science/openSUSE_Leap_42.3/ science
  2. Install python3-joblib rpm package:
    # zypper install python3-joblib

Files

Path
/usr/lib/python3.4/site-packages/joblib-0.12.1-py3.4.egg-info
/usr/lib/python3.4/site-packages/joblib/__init__.py
/usr/lib/python3.4/site-packages/joblib/_compat.py
/usr/lib/python3.4/site-packages/joblib/_memmapping_reducer.py
/usr/lib/python3.4/site-packages/joblib/_memory_helpers.py
/usr/lib/python3.4/site-packages/joblib/_multiprocessing_helpers.py
/usr/lib/python3.4/site-packages/joblib/_parallel_backends.py
/usr/lib/python3.4/site-packages/joblib/_store_backends.py
/usr/lib/python3.4/site-packages/joblib/backports.py
/usr/lib/python3.4/site-packages/joblib/compressor.py
/usr/lib/python3.4/site-packages/joblib/disk.py
/usr/lib/python3.4/site-packages/joblib/executor.py
/usr/lib/python3.4/site-packages/joblib/format_stack.py
/usr/lib/python3.4/site-packages/joblib/func_inspect.py
/usr/lib/python3.4/site-packages/joblib/hashing.py
/usr/lib/python3.4/site-packages/joblib/logger.py
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Changelog

2018-07-18 - arun@gmx.de
- specfile:
* remove devel requirement
- update to version 0.12.1:
* Make sure that any exception triggered when serializing jobs in
the queue will be wrapped as a PicklingError as in past versions
of joblib.
* Fix kwonlydefaults key error in filter_args (#715)
- changes from version 0.12:
* Implement the 'loky' backend with @ogrisel. This backend relies on
a robust implementation of concurrent.futures.ProcessPoolExecutor
with spawned processes that can be reused accross the Parallel
calls. This fixes the bad interation with third paty libraries
relying on thread pools, described in
https://pythonhosted.org/joblib/parallel.html#bad-interaction-of-multiprocessing-and-third-party-libraries
* Limit the number of threads used in worker processes by
C-libraries that relies on threadpools. This functionality works
for MKL, OpenBLAS, OpenMP and Accelerated.
* Prevent numpy arrays with the same shape and data from hashing to
the same memmap, to prevent jobs with preallocated arrays from
writing over each other.
* Reduce overhead of automatic memmap by removing the need to hash
the array.
* Make Memory.cache robust to PermissionError (errno 13) under
Windows when run in combination with Parallel.
* The automatic array memory mapping feature of Parallel does no
longer use /dev/shm if it is too small (less than 2 GB). In
particular in docker containers /dev/shm is only 64 MB by default
which would cause frequent failures when running joblib in Docker
containers.
* Make it possible to hint for thread-based parallelism with
prefer='threads' or enforce shared-memory semantics with
require='sharedmem'.
* Rely on the built-in exception nesting system of Python 3 to
preserve traceback information when an exception is raised on a
remote worker process. This avoid verbose and redundant exception
reports under Python 3.
* Preserve exception type information when doing nested Parallel
calls instead of mapping the exception to the generic
JoblibException type.
* Introduce the concept of 'store' and refactor the Memory internal
storage implementation to make it accept extra store backends for
caching results. backend and backend_options are the new options
added to Memory to specify and configure a store backend.
* Add the register_store_backend function to extend the store
backend used by default with Memory. This default store backend is
named 'local' and corresponds to the local filesystem.
* The store backend API is experimental and thus is subject to
change in the future without deprecation.
* The cachedir parameter of Memory is now marked as deprecated, use
location instead.
* Add support for LZ4 compression if lz4 package is installed.
* Add register_compressor function for extending available
compressors.
* Allow passing a string to compress parameter in dump funtion. This
string should correspond to the compressor used (e.g. zlib, gzip,
lz4, etc). The default compression level is used in this case.
* Allow parallel_backend to be used globally instead of only as a
context manager. Support lazy registration of external parallel
backends
2018-01-11 - jengelh@inai.de
- Ensure neutrality of description.
2017-05-22 - toddrme2178@gmail.com
- Implement single-spec version.
- Run tests.
- Fix source URL.
- Update to version 0.11.
* For a full changelog please see:
https://github.com/joblib/joblib/blob/0.11/CHANGES.rst
2015-05-24 - toddrme2178@gmail.com
- Disable non-functional documentation
2013-12-08 - p.drouand@gmail.com
- Update to version 0.7.1
+ MISC: capture meaningless argument (n_jobs=0) in Parallel
+ ENH Handles tuples, sets and Python 3's dict_keys type the same as
lists. in pre_dispatch
+ ENH: fix function caching for IPython
2013-10-24 - speilicke@suse.com
- Require python-setuptools instead of distribute (upstreams merged)

See Also

Package Description
python3-libadjoint-openmpi-2016.2.0-2.32.x86_64.rpm A library for adjointing computational models (python bindings w/ openmpi)
python3-lz4-0.10.1-5.1.x86_64.rpm LZ4 Bindings for Python
python3-opengl-3.1.3b1-44.1.noarch.rpm OpenGL bindings for Python
python3-opengl-accelerate-3.1.3b1-15.2.x86_64.rpm Acceleration for python-opengl
python3-owslib-0.16.0-2.1.noarch.rpm Python interface to OGC Web Services
python3-petsc4py-3.7.0-3.2.x86_64.rpm Python bindings for PETSc
python3-petsc4py-openmpi-3.7.0-3.2.x86_64.rpm Python bindings for PETSc - openmpi enabled
python3-pivy-0.6.4-15.1.x86_64.rpm Coin Binding for Python
python3-power-1.4-8.1.noarch.rpm System power status information in Python
python3-pydicom-1.2.2-19.1.noarch.rpm Pure python package for DICOM medical file reading and writing
python3-pyproj-1.9.5.1-2.3.x86_64.rpm Python interface to PROJ4 library
python3-splinter-3.0-10.2.x86_64.rpm Python3 bindings for splinter
python3-ufl-2016.2.0-1.1.noarch.rpm A domain specific language for declaration of finite element discretizations
python3-utils-2.3.0-1.1.noarch.rpm numpy-stl Supporting Utilities
python3-vtk-8.1.2-130.17.x86_64.rpm Python bindings for VTK
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