Changelog for python311-ipyparallel-8.8.0-lp160.2.3.noarch.rpm :

* Sun May 05 2024 Ben Greiner - Update to 8.8.0 [#]# New:
* BroadcastView.map is defined for API compatibility, but is not particularly efficient or recommended. [#]# Fixed:
* AsyncResult.join is fixed. [#]# Improved:
* Performance optimization disabling timestamp parsing in jupyter_client is not applied until ipyparallel classes are instantiated, rather than at import time.
* Thu Mar 28 2024 Ben Greiner - Update to 8.7.0
* 8.7 is a small release, with a few improvements and updates, mostly related to compatibility with different versions of JupyterLab, Notebook, and Jupyter Server. [#]# Highlights:
* JupyterLab 4 compatibility for the lab extension
* Improved logging and deprecation messages for different versions of Jupyter Server and Notebook [#]# New features added
* Update labextension to jupyterlab 4 #833 (AATTminrk)
* add ControllerLauncher.connection_info_timeout config #872 (AATTminrk) [#]# Enhancements made
* log launcher output at warning-level in case of nonzero exit code #866 (AATTminrk)
* improve deprecation messaging around ipcluster nbextension [#835] (AATTminrk) [#]# Bugs fixed
* Use pre-3.10 serialization code on PyPy3.10 #846 (AATTmgorny, AATTminrk)
* fallback import when using notebook and jupyter_server is unavailable #808 (AATTminrk)
* don\'t propagate logs in IPython #797 (AATTminrk)- Drop ipyparallel-pr859-utcnow-deprecation.patch
* Tue Mar 05 2024 Ben Greiner - Skip python39: no longer supported since ipython 8.19
* Wed Feb 07 2024 Ben Greiner - Add ipyparallel-pr859-utcnow-deprecation.patch for Python 3.12 gh#ipython/ipyparallel#859
* Sun Feb 04 2024 Ben Greiner - Jupyterlab does not require notebook < 7 anymore
* Sun Apr 23 2023 Ben Greiner - Update to 8.6.1
* avoid errors when engine id cannot be identified #793 (AATTminrk)
* Disable variable expansion in %px #792 (AATTminrk)
* fix wait_interactive(return_when=FIRST_EXCEPTION) when there are no errors #790 (AATTminrk)- Release 8.6.0
* Fix KeyError on parent_header when streaming output with %%px
* Allow disabling streaming/progress defaults with IPP_NONINTERACTIVE=1 environment variable (e.g. when building notebooks in documentation)
* Thu Mar 30 2023 Ben Greiner - Update to 8.5.1
* Fix error preventing creation of new profiles via the lab extension- Release 8.5.0
* Updates dependencies in jupyterlab extension to jupyterlab 3.6
* fix ResourceWarnings about closed clusters
* Avoid some deprecated APIs in jupyter-client and pyzmq- Drop ipyparallel-pr729+pr753-deprecationfilters.patch
* Sat Dec 31 2022 Ben Greiner - Add deprecation warnings filters
* ipyparallel-pr729+pr753-deprecationfilters.patch
* gh#ipython/ipyparallel#729
* gh#ipython/ipyparallel#753
* Thu Jul 07 2022 Ben Greiner - Update to version 8.4.1
* add support for Python 3.11- Release 8.4.0
* (%px) only skip redisplay of streamed errors if outputs are complete
* Avoid use of recently deprecated asyncio/tornado APIs around \'current\' event loops that are not running.
* Switch to hatch backend for packaging- Release 8.3.0
* Workaround SSL issues with recent builds of nodejs + webpack
* Build with flit, removing setup.py
* Remove remaining references to deprecated distutils package (has surprising impact on process memory)
* Improve logging when engine registration times out- Release 8.2.1
* Fixes some compatibility issues with latest dask, ipykernel, and setuptools, as well as some typos and improved documentation.- Skip flaky tests- Fix non-rewritten obsoletes and remove incorrect provides in jupyter extension package
* Sun Feb 27 2022 Arun Persaud - update to version 8.2.0:
* Changes: + len(AsyncMapResult) and progress ports now use the number of items in the map, not the number of messages.
* Enhancements: + Show output prior to errors in %%px
* Bugs fixed: + Fix cases where engine id could be -1 in tracebacks + Add missing pbs to engine launcher entrypoints
* Sat Jan 15 2022 Ben Greiner - Update to 8.1.0
* 8.1.0 is a small release, adding a few new features and bugfixes.
* relay KeyboardInterrupt to engines in blocking `%px` magics
* add `Cluster.start_and_connect(activate=True)` to include activation of `%px` magics in one-liner startup.
* initial support for Clusters tab in RetroLab
* ensure profile config is always loaded for `Cluster(profile=\"xyz\")`
* build lab extension in production mode, apply trove classifiers
* pass through keyword arguments to constructor in `Client.broadcast_view`- Don\'t require iptest for testing anymore, removed in ipython 8
* Mon Nov 15 2021 Ben Greiner - Skip flaky imap_infinite test
* Sun Nov 14 2021 Ben Greiner - Update to 8.0.0
* This is marked as a major revision because of the change to pass connection information via environment variables. BatchSystem launchers with a custom template will need to make sure to set flags that inherit environment variables, such as [#]PBS -V or #SBATCH --export=ALL.
* More convenient Cluster(engines=\"mpi\") signature for setting the engine (or controller) launcher class.
* The first (and usually only) engine set can be accessed as .Cluster.engine_set, rather than digging through the Cluster.engines dict.
* Add environment configuration to all Launchers.
* Support more configuration via environment variables, including passing connection info to engines via $IPP_CONNECTION_INFO, which is used by default, avoiding the need to send connection files to engines in cases of non-shared filesystems.
* Launchers send connection info to engines via $IPP_CONNECTION_INFO by default. This is governed by Cluster.send_engines_connection_env, which is True by default.
* Support EngineLauncher.get_output via output files in batch system launchers
* Capture output in Batch launchers by setting output file options in the default templates.
* LoadBalancedView.imap returns a LazyMapIterator which has a .cancel() method, for stopping consumption of the map input.
* Support for return_when argument in .AsyncResult.wait and ~.AsyncResult.wait_interactive, to allow returning on the first error, first completed, or (default) all completed.
* LoadBalancedView.imap(max_outstanding=n) limits the number of tasks submitted to the cluster, instead of limiting the number not-yet-consumed. Prior to this, the cluster could be idle if several results were waiting to be consumed.
* output streamed by %%px includes errors and results, for immediate feedback when only one engine fails.
* Various bugs preventing use of non-default Controller launchers
* Fixed crash in jupyterlab extension when IPython directory does not exist
* ViewExecutor.shutdown() waits for imap results, like Executors in the standard library
* Removed spurious jupyterlab plugin options that had no effect.
* %autopx streams output just like %%px
* Add BroadcastView benchmark code
* Tag releases with tbump
* Sun Oct 17 2021 Ben Greiner - Update to 7.1.0
* New Client.start_and_connect() method for starting a cluster and returning a connected client in one call.
* Support CurveZMQ for transport-level encryption and authentication. See security docs for more info.
* Define _max_workers attribute on view.executor for better consistency with standard library Executors.
* Client.wait_for_engines() will raise an informative error if the parent Cluster object notices that its engines have halted while waiting, or any engine unregisters, rather than continuing to wait for engines that will never come
* Show progress if %px is taking significant time
* Improved support for streaming output, e.g. with %px, including support for updating output in-place with standard terminal carriage-return progress bars.
* Fix dropped IOPub messages when using large numbers of engines, causing AsyncResult.wait_for_output() to hang.
* Use absolute paths for Cluster.profile_dir, fixing issues with Cluster.from_file() when run against a profile created with a relative location, e.g. Cluster(profile_dir=\"./profile\")
* Fix error waiting for connection files when controller is started over ssh.- Release 7.0.1
* Fix missing setupbase.py in tarball- Release 7.0.0
* Require Python 3.6
* Fix compatibility issues with ipykernel 6 and jupyter-client 7
* Remove dependency on deprecated ipython-genutils
* New dependencies on psutil, entrypoints, tqdm
* New Cluster API for managing clusters from Python, including support for signaling and restarting engines. See docs for more.
* New ipcluster list and ipcluster clean commands derived from the Cluster API.
* New Client.send_signal() for sending signals to single engines.
* New KernelNanny process for signaling and monitoring engines for improved responsiveness of handing engine crashes.
* New prototype BroadcastScheduler with vastly improved scaling in ‘do-on-all’ operations on large numbers of engines, c/o Tom-Olav Bøyum’s Master’s thesis at University of Oslo. Broadcast view documentation.
* New Client.wait_for_engines() method to wait for engines to be available.
* Nicer progress bars for interactive waits, such as AsyncResult.wait_interactive().
* Add AsyncResult.stream_output() context manager for streaming output. Stream output by default in parallel magics.
* Launchers registered via entrypoints for better support of third-party Launchers.
* New JupyterLab extension (enabled by default) based on dask-labextension for managing clusters.
* LoadBalancedView.imap() consumes inputs as-needed, producing a generator of results instead of an AsyncMapResult, allowing for consumption of very large or infinite mapping inputs.
* Greatly improved performance of heartbeat and registration with large numbers of engines, tested with 5000 engines and default configuration.
* Single IPController.ports configuration to specify the pool of ports for the controller to use, e.g. ipcontroller --ports 10101-10120.
* Allow f as keyword-argument to apply, e.g. view.apply(myfunc, f=5).
* joblib backend will start and stop a cluster by default if the default cluster is not running.
* Thu May 14 2020 Marketa Calabkova - Go back to PyPI tarball- Update to final 6.3.0
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*Require Python 3.5
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* Fix compatibility with joblib 0.14
* Fix crash recovery test for Python 3.8
* Fix repeated name when cluster-id is set
* Fix CSS for notebook extension
* Fix KeyError handling heartbeat failures- Drop the doc subpackage, the package can be found on readthedocs
* Thu Apr 23 2020 Tomáš Chvátal - Drop py2 code from py3 only package
* Thu Mar 12 2020 hpjAATTurpla.net- Switch to git scm service- Update to version 6.3.0~git.20191010T150914.ce996ae:
* fix maybe_future
* only yield Futures
* pytest captures output
* importing joblib can raise TypeError on py38
* unpin tornado
* update dask api
* update mocking for latest ipykernel
* Use unittest.mock if available
* Tue Nov 12 2019 Todd R - Drop python2 support due to python-notebook dropping python2 support
* Mon Aug 26 2019 Todd R - Fix spurious test failure
* Sun Aug 11 2019 Todd R - Switch from wheel to sdist.
* Wed Jun 12 2019 Todd R - Update to 6.2.4
* Improve compatibility with ipykernel 5
* Fix %autopx with IPython 7
* Fix non-local ip warning when using current hostname
* Thu Apr 25 2019 Todd R - Rename to to match python package naming guidelines.- Split jupyter components into own subpackage.
* Sat Dec 22 2018 Todd R - Update to 6.2.3
* Fix compatibility for execute requests with ipykernel 5
* require ipykernel >= 4.4
* Thu Aug 02 2018 toddrme2178AATTgmail.com- Update to 6.2.2
* Fix compatibility with tornado 4, broken in 6.2.0
* Fix encoding of engine and controller logs in ipcluster --debug on Python 3
* Fix compatiblity with joblib 0.12
* Include LICENSE file in wheels
* Thu Jun 07 2018 toddrme2178AATTgmail.com- Update to version 6.2.1
* Workaround a setuptools issue preventing installation from sdist on Windows- Update to version 6.2.0
* Drop support for Python 3.3. IPython parallel now requires Python 2.7 or >= 3.4.
* Further fixes for compatibility with tornado 5 when run with asyncio (Python 3)
* Fix for enabling clusters tab via nbextension
* Multiple fixes for handling when engines stop unexpectedly
* Installing IPython Parallel enables the Clusters tab extension by default, without any additional commands.- Switch to wheel-based install- Run tests in main package- Remove -doc subpackage and use upstream-build docs
* Thu Feb 15 2018 toddrme2178AATTgmail.com- Update to 6.1.1
* Fix regression in 6.1.0 preventing BatchSpawners (PBS, etc.) from launching with ipcluster.- Update to 6.1.0 + Compatibility fixes with related packages:
* Fix compatibility with pyzmq 17 and tornado 5.
* Fix compatibility with IPython ≥ 6.
* Improve compatibility with dask.distributed ≥ 1.18. + New features:
* Add :attr:`namespace` to BatchSpawners for easier extensibility.
* Support serializing partial functions.
* Support hostnames for machine location, not just ip addresses.
* Add ``--location`` argument to ipcluster for setting the controller location. It can be a hostname or ip.
* Engine rank matches MPI rank if engines are started with ``--mpi``.
* Avoid duplicate pickling of the same object in maps, etc.
* Tue Feb 13 2018 toddrme2178AATTgmail.com- Update url
* Wed Sep 20 2017 toddrme2178AATTgmail.com- Further improvements to notebook extension handling
* Wed Sep 20 2017 toddrme2178AATTgmail.com- Fix notebook extension handling
* Sun Aug 06 2017 toddrme2178AATTgmail.com- Fix script interpeter.
* Thu Apr 27 2017 toddrme2178AATTgmail.com- Implement single-spec version.
* Fri Apr 07 2017 toddrme2178AATTgmail.com- Clean up update-alternatives usage.
* Thu Mar 30 2017 toddrme2178AATTgmail.com- Update to 6.0.2
* Upload fixed sdist for 6.0.1.- Update to 6.0.1
* Small encoding fix for Python 2.- Update to 6.0
* Due to a compatibility change and semver, this is a major release. However, it is not a big release.
* The main compatibility change is that all timestamps are now timezone-aware UTC timestamps.
* This means you may see comparison errors if you have code that uses datetime objects without timezone info (so-called naïve datetime objects).
* Rename :meth:`Client.become_distributed` to :meth:`Client.become_dask`. :meth:`become_distributed` remains as an alias.
* import joblib from a public API instead of a private one when using IPython Parallel as a joblib backend.
* Compatibility fix in extensions for security changes in notebook 4.3- Update to 5.2
* Fix compatibility with changes in ipykernel 4.3, 4.4
* Improve inspection of ``AATTremote`` decorated functions
* :meth:`Client.wait` accepts any Future.
* Add ``--user`` flag to :command:`ipcluster nbextension`
* Default to one core per worker in :meth:`Client.become_distributed`. Override by specifying `ncores` keyword-argument.
* Subprocess logs are no longer sent to files by default in :command:`ipcluster`.- Update to 5.1
* IPython Parallel 5.1 adds integration with other parallel computing tools, such as `dask.distributed `_ and `joblib `__.
* IPython parallel now supports the notebook-4.2 API for enabling server extensions, to provide the IPython clusters tab jupyter serverextension enable --py ipyparallel jupyter nbextension install --py ipyparallel jupyter nbextension enable --py ipyparallel though you can still use the more convenient single-call:: ipcluster nbextension enable which does all three steps above.
* `Slurm `_ support is added to ipcluster.- Update to 5.0.1
* Fix imports in :meth:`use_cloudpickle`, :meth:`use_dill`.
* Various typos and documentation updates to catch up with 5.0.
* Wed Feb 17 2016 toddrme2178AATTgmail.com- specfile:
* update copyright year- update to version 5.0.0:
* The highlight of ipyparallel 5.0 is that the Client has been reorganized a bit to use Futures. AsyncResults are now a Future subclass, so they can be `yield`ed in coroutines, etc. Views have also received an Executor interface. This rewrite better connects results to their handles, so the Client.results cache should no longer grow unbounded. + The Executor API :class:`ipyparallel.ViewExecutor` + Creating an Executor from a Client: :meth:`ipyparallel.Client.executor` + Each View has an :attr:`executor` attribute
* Part of the Future refactor is that Client IO is now handled in a background thread, which means that :meth:`Client.spin_thread` is obsolete and deprecated.
* Other changes: + Add :command:`ipcluster nbextension enable|disable` to toggle the clusters tab in Jupyter notebook
* Less interesting development changes for users: Some IPython-parallel extensions to the IPython kernel have been moved to the ipyparallel package: + :mod:`ipykernel.datapub` is now :mod:`ipyparallel.datapub` + ipykernel Python serialization is now in :mod:`ipyparallel.serialize` + apply_request message handling is implememented in a Kernel subclass, rather than the base ipykernel Kernel.- update to version 4.1.0:
* Add :meth:`.Client.wait_interactive`
* Improvements for specifying engines with SSH launcher.- Split documentation into own subpackage to speed up builds.
* Mon Oct 05 2015 toddrme2178AATTgmail.com- Build documentation
* Fri Aug 28 2015 toddrme2178AATTgmail.com- Fix conflict.
* Wed Aug 26 2015 toddrme2178AATTgmail.com- Initial version