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python-jupyter_ipyparallel-doc
python-jupyter_ipyparallel.changes
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File python-jupyter_ipyparallel.changes of Package python-jupyter_ipyparallel-doc
------------------------------------------------------------------- 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. ------------------------------------------------------------------- Tue Feb 13 19:47:23 UTC 2018 - toddrme2178@gmail.com - Update url ------------------------------------------------------------------- Wed Sep 20 17:04:11 UTC 2017 - toddrme2178@gmail.com - Further improvements to notebook extension handling ------------------------------------------------------------------- Wed Sep 20 15:26:13 UTC 2017 - toddrme2178@gmail.com - Fix notebook extension handling ------------------------------------------------------------------- Sun Aug 6 03:42:48 UTC 2017 - toddrme2178@gmail.com - Fix script interpeter. ------------------------------------------------------------------- Thu Apr 27 17:28:08 UTC 2017 - toddrme2178@gmail.com - Implement single-spec version. ------------------------------------------------------------------- Fri Apr 7 19:04:07 UTC 2017 - toddrme2178@gmail.com - Clean up update-alternatives usage. ------------------------------------------------------------------- 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. ------------------------------------------------------------------- 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. ------------------------------------------------------------------- Mon Oct 5 10:01:17 UTC 2015 - toddrme2178@gmail.com - Build documentation ------------------------------------------------------------------- Fri Aug 28 18:38:51 UTC 2015 - toddrme2178@gmail.com - Fix conflict. ------------------------------------------------------------------- Wed Aug 26 13:41:45 UTC 2015 - toddrme2178@gmail.com - Initial version
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