Changelog for python3-jupyter_ipyparallel-6.1.1-lp150.1.2.noarch.rpm :

* 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