## 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.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=48
- 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 (@minrk)
* add ControllerLauncher.connection_info_timeout config #872
(@minrk)
## Enhancements made
* log launcher output at warning-level in case of nonzero exit
code #866 (@minrk)
* improve deprecation messaging around ipcluster nbextension
#835 (@minrk)
## Bugs fixed
* Use pre-3.10 serialization code on PyPy3.10 #846 (@mgorny,
@minrk)
* fallback import when using notebook and jupyter_server is
unavailable #808 (@minrk)
* don't propagate logs in IPython #797 (@minrk)
- Drop ipyparallel-pr859-utcnow-deprecation.patch
OBS-URL: https://build.opensuse.org/request/show/1163391
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-ipyparallel?expand=0&rev=20
* 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 (@minrk)
* add ControllerLauncher.connection_info_timeout config #872
(@minrk)
## Enhancements made
* log launcher output at warning-level in case of nonzero exit
code #866 (@minrk)
* improve deprecation messaging around ipcluster nbextension
#835 (@minrk)
## Bugs fixed
* Use pre-3.10 serialization code on PyPy3.10 #846 (@mgorny,
@minrk)
* fallback import when using notebook and jupyter_server is
unavailable #808 (@minrk)
* don't propagate logs in IPython #797 (@minrk)
- Drop ipyparallel-pr859-utcnow-deprecation.patch
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=46
- Update to 8.6.1
* avoid errors when engine id cannot be identified #793 (@minrk)
* Disable variable expansion in %px #792 (@minrk)
* fix wait_interactive(return_when=FIRST_EXCEPTION) when there
are no errors #790 (@minrk)
- 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) (forwarded request 1082336 from bnavigator)
OBS-URL: https://build.opensuse.org/request/show/1082337
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-ipyparallel?expand=0&rev=17
- 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.
- Fix non-rewritten obsoletes and remove incorrect provides in
jupyter extension package (forwarded request 987744 from bnavigator)
OBS-URL: https://build.opensuse.org/request/show/987745
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-ipyparallel?expand=0&rev=14
- 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.
- Fix non-rewritten obsoletes and remove incorrect provides in
jupyter extension package
OBS-URL: https://build.opensuse.org/request/show/987744
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=30
- 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
OBS-URL: https://build.opensuse.org/request/show/946681
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=25
- 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 (forwarded request 931406 from bnavigator)
OBS-URL: https://build.opensuse.org/request/show/931407
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-ipyparallel?expand=0&rev=10
- 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
OBS-URL: https://build.opensuse.org/request/show/931406
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=22
- 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.
OBS-URL: https://build.opensuse.org/request/show/925912
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=21
- Rename to to match python package naming guidelines.
- Split jupyter components into own subpackage.
- Update to 6.2.3
* Fix compatibility for execute requests with ipykernel 5
* require ipykernel >= 4.4
- 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
- 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
- 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.
- Update url
- Further improvements to notebook extension handling
- Fix notebook extension handling
- Fix script interpeter.
- Implement single-spec version.
- Clean up update-alternatives usage.
- 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.
- 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.
- Build documentation
- Fix conflict.
- Initial version
OBS-URL: https://build.opensuse.org/request/show/698330
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-ipyparallel?expand=0&rev=1
