File python-ipyparallel.changes of Package python-ipyparallel

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File python-ipyparallel.changes of Package python-ipyparallel (Revision 59db0107916c4075ee957f634c40ca70)

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Sun Oct 17 18:51:14 UTC 2021 - Ben Greiner <code@bnavigator.de>

- 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.

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Thu May 14 14:19:02 UTC 2020 - Marketa Calabkova <mcalabkova@suse.com>

- Go back to PyPI tarball
- Update to final 6.3.0
  * **Require Python 3.5**
  * 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

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Thu Apr 23 10:56:15 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>

- Drop py2 code from py3 only package

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Thu Mar 12 20:08:58 UTC 2020 - hpj@urpla.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

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Tue Nov 12 17:38:51 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Drop python2 support due to python-notebook dropping python2 support

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Mon Aug 26 00:39:40 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Fix spurious test failure

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Sun Aug 11 03:27:44 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Switch from wheel to sdist.

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Wed Jun 12 20:23:29 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Update to 6.2.4
  * Improve compatibility with ipykernel 5
  * Fix %autopx with IPython 7
  * Fix non-local ip warning when using current hostname

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Thu Apr 25 01:59:57 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Rename to to match python package naming guidelines.
- Split jupyter components into own subpackage.

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Sat Dec 22 06:55:16 UTC 2018 - Todd R <toddrme2178@gmail.com>

- Update to 6.2.3
  * Fix compatibility for execute requests with ipykernel 5
  * require ipykernel >= 4.4

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Thu Aug  2 19:40:16 UTC 2018 - toddrme2178@gmail.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

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Thu Jun  7 17:42:57 UTC 2018 - toddrme2178@gmail.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

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Thu Feb 15 14:43:43 UTC 2018 - toddrme2178@gmail.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.

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Tue Feb 13 19:47:23 UTC 2018 - toddrme2178@gmail.com

- Update url

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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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Sun Aug  6 03:42:48 UTC 2017 - toddrme2178@gmail.com

- Fix script interpeter.

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

- Implement single-spec version.

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Fri Apr  7 19:04:07 UTC 2017 - toddrme2178@gmail.com

- Clean up update-alternatives usage.

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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-ipyparallel.changes of Package python-ipyparallel (Revision 59db0107916c4075ee957f634c40ca70)

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