File python-jupyter_ipyparallel-doc.changes of Package python-jupyter_ipyparallel

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File python-jupyter_ipyparallel-doc.changes of Package python-jupyter_ipyparallel (Revision 7d4b07743eca9fe79e56a7e0dbc8e6eb)

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Wed Sep 20 17:04:11 UTC 2017 - toddrme2178@gmail.com

- Further improvements to notebook extension handling

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Wed Sep 20 15:26:13 UTC 2017 - toddrme2178@gmail.com

- Fix notebook extension handling

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Wed Aug 16 01:30:34 UTC 2017 - toddrme2178@gmail.com

- Fix shebangs

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Thu Apr 27 17:28:08 UTC 2017 - toddrme2178@gmail.com

- Implement single-spec version.

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Thu Mar 30 19:24:51 UTC 2017 - toddrme2178@gmail.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 ``@remote`` 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 <https://distributed.readthedocs.io>`_ and `joblib <https://pythonhosted.org/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 <https://computing.llnl.gov/tutorials/linux_clusters>`_ 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.

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Wed Feb 17 13:00:52 UTC 2016 - toddrme2178@gmail.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.
  
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Mon Oct  5 10:01:17 UTC 2015 - toddrme2178@gmail.com

- Build documentation

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Fri Aug 28 18:38:51 UTC 2015 - toddrme2178@gmail.com

- Fix conflict.

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Wed Aug 26 13:41:45 UTC 2015 - toddrme2178@gmail.com

- Initial version

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File python-jupyter_ipyparallel-doc.changes of Package python-jupyter_ipyparallel (Revision 7d4b07743eca9fe79e56a7e0dbc8e6eb)

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