14
0
forked from pool/python-joblib
Files
python-joblib/python-joblib.changes

117 lines
4.9 KiB
Plaintext
Raw Normal View History

-------------------------------------------------------------------
Wed Jul 18 03:03:33 UTC 2018 - 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
-------------------------------------------------------------------
Thu Jan 11 22:12:57 UTC 2018 - jengelh@inai.de
- Ensure neutrality of description.
-------------------------------------------------------------------
Mon May 22 16:35:59 UTC 2017 - 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
-------------------------------------------------------------------
Sun May 24 13:14:03 UTC 2015 - toddrme2178@gmail.com
- Disable non-functional documentation
-------------------------------------------------------------------
Sun Dec 8 19:47:59 UTC 2013 - 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
-------------------------------------------------------------------
Thu Oct 24 11:07:22 UTC 2013 - speilicke@suse.com
- Require python-setuptools instead of distribute (upstreams merged)
-------------------------------------------------------------------
Sat Feb 9 15:54:15 UTC 2013 - p.drouand@gmail.com
- Update to version 0.7.0d
* No changelog available
- Clean the specfile and remove .buildinfo file
-------------------------------------------------------------------
Wed Oct 10 20:59:57 UTC 2012 - scorot@free.fr
- Add Group field in doc package for SLE 11
-------------------------------------------------------------------
Wed Sep 5 17:10:35 UTC 2012 - toddrme2178@gmail.com
- Initial version