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Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
#
# spec file for package python-ipyparallel
#
Accepting request 1144861 from home:bnavigator:branches:devel:languages:python:jupyter - Add ipyparallel-pr859-utcnow-deprecation.patch for Python 3.12 gh#ipython/ipyparallel#859 OBS-URL: https://build.opensuse.org/request/show/1144861 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=41
2024-02-07 10:09:29 +00:00
# Copyright (c) 2024 SUSE LLC
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
# upon. The license for this file, and modifications and additions to the
# file, is the same license as for the pristine package itself (unless the
# license for the pristine package is not an Open Source License, in which
# case the license is the MIT License). An "Open Source License" is a
# license that conforms to the Open Source Definition (Version 1.9)
# published by the Open Source Initiative.
# Please submit bugfixes or comments via https://bugs.opensuse.org/
#
spec-cleaner OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=2
2019-04-26 16:40:15 +00:00
- Update to 8.8.0 ## 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
2024-05-05 18:55:50 +00:00
%define distversion 8.8
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Name: python-ipyparallel
- Update to 8.8.0 ## 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
2024-05-05 18:55:50 +00:00
Version: 8.8.0
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Release: 0
Summary: Interactive parallel computing library for IPython
License: BSD-3-Clause
Group: Development/Languages/Python
spec-cleaner OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=2
2019-04-26 16:40:15 +00:00
URL: https://github.com/ipython/ipyparallel
Accepting request 805619 from home:mcalabkova:branches:devel:languages:python:jupyter - 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 OBS-URL: https://build.opensuse.org/request/show/805619 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=19
2020-05-23 13:44:37 +00:00
Source: https://files.pythonhosted.org/packages/source/i/ipyparallel/ipyparallel-%{version}.tar.gz
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
Source99: python-ipyparallel-rpmlintrc
Accepting request 1045939 from home:bnavigator:branches:devel:languages:python:jupyter - Add deprecation warnings filters * ipyparallel-pr720+pr753-deprecationfilters.patch * gh#ipython/ipyparallel#729 * gh#ipython/ipyparallel#753 OBS-URL: https://build.opensuse.org/request/show/1045939 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=32
2022-12-31 16:34:28 +00:00
# SECTION build-system requirements
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
BuildRequires: %{python_module hatchling >= 0.25}
- 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/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=46
2024-03-28 19:56:29 +00:00
BuildRequires: %{python_module base >= 3.8}
BuildRequires: %{python_module jupyterlab >= 4}
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
BuildRequires: %{python_module pip}
BuildRequires: fdupes
BuildRequires: jupyter-rpm-macros
BuildRequires: python-rpm-macros
# /SECTION
# SECTION runtime requirements
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
BuildRequires: %{python_module entrypoints}
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
BuildRequires: %{python_module decorator}
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
BuildRequires: %{python_module ipykernel >= 4.4}
BuildRequires: %{python_module ipython >= 4}
- Update to 8.8.0 ## 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
2024-05-05 18:55:50 +00:00
BuildRequires: %{python_module jupyter-client >= 5}
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
BuildRequires: %{python_module psutil}
BuildRequires: %{python_module python-dateutil >= 2.1}
BuildRequires: %{python_module pyzmq >= 18}
BuildRequires: %{python_module tornado >= 5.1}
BuildRequires: %{python_module tqdm}
BuildRequires: %{python_module traitlets >= 4.3}
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Requires: python-decorator
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
Requires: python-entrypoints
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Requires: python-ipykernel >= 4.4
Requires: python-ipython >= 4
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=42
2024-02-07 10:12:30 +00:00
Requires: python-jupyter-client
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
Requires: python-psutil
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Requires: python-python-dateutil >= 2.1
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
Requires: python-pyzmq >= 18
Requires: python-tornado >= 5.1
Requires: python-tqdm
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Requires: python-traitlets >= 4.3
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
# /SECTION
spec-cleaner OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=2
2019-04-26 16:40:15 +00:00
Requires(post): update-alternatives
Accepting request 1144861 from home:bnavigator:branches:devel:languages:python:jupyter - Add ipyparallel-pr859-utcnow-deprecation.patch for Python 3.12 gh#ipython/ipyparallel#859 OBS-URL: https://build.opensuse.org/request/show/1144861 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=41
2024-02-07 10:09:29 +00:00
Requires(postun): update-alternatives
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Recommends: jupyter-ipyparallel = %{version}
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
Provides: python-jupyter_ipyparallel = %{version}-%{release}
Obsoletes: python-jupyter_ipyparallel < %{version}-%{release}
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
BuildArch: noarch
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
# SECTION test requirements, including ipython[test]
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
BuildRequires: %{python_module pytest-asyncio}
BuildRequires: %{python_module pytest}
BuildRequires: %{python_module testpath}
# /SECTION
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%python_subpackages
%description
Use multiple instances of IPython in parallel, interactively.
This package provides the python interface.
%package -n jupyter-ipyparallel
Summary: Interactive parallel computing library for IPython
Accepting request 784405 from home:frispete:branches:devel:languages:python:jupyter Since this package blocks the Python 3.8 transition, here's a possible fix: - 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 OBS-URL: https://build.opensuse.org/request/show/784405 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=15
2020-03-15 09:55:12 +00:00
Group: Development/Languages/Python
Accepting request 748332 from home:TheBlackCat:branches:devel:languages:python:jupyter Drop python2 support due to python-notebook dropping python2 support OBS-URL: https://build.opensuse.org/request/show/748332 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=13
2019-11-13 14:34:32 +00:00
Requires: jupyter-jupyter-core
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
Requires: jupyter-jupyter-server
Accepting request 1075686 from home:bnavigator:branches:devel:languages:python:jupyter - Update to 8.5.1 * Fix error preventing creation of new profiles via the lab extension - Release 8.5.0 * Updates dependencies in jupyterlab extension to jupyterlab 3.6 * fix ResourceWarnings about closed clusters * Avoid some deprecated APIs in jupyter-client and pyzmq - Drop ipyparallel-pr729+pr753-deprecationfilters.patch OBS-URL: https://build.opensuse.org/request/show/1075686 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=35
2023-03-30 20:12:41 +00:00
Requires: jupyter-jupyterlab >= 3.6
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Requires: jupyter-notebook
- 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/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=46
2024-03-28 19:56:29 +00:00
Requires: python3dist(ipyparallel) = %{distversion}
Suggests: python3-ipyparallel
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
Provides: jupyter-ipyparallel-l = %{version}-%{release}
Provides: jupyter-ipyparallel-nbext = %{version}-%{release}
Provides: jupyter-ipyparallel-serverextension = %{version}-%{release}
# the last pythonX-jupyter_ipyparallel-nbextension package was 2019 before the multiflavor era
Obsoletes: python-jupyter_ipyparallel-nbextension <= 6.2.3
Obsoletes: python2-jupyter_ipyparallel-nbextension <= 6.2.3
Obsoletes: python3-jupyter_ipyparallel-nbextension <= 6.2.3
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%description -n jupyter-ipyparallel
Use multiple instances of IPython in parallel, interactively.
This package provides the jupyter notebook extension.
%package -n jupyter-ipyparallel-doc
Summary: Documentation for ipyparallel
Group: Documentation/Other
Provides: %{python_module ipyparallel-doc = %{version}}
Provides: %{python_module jupyter_ipyparallel-doc = %{version}}
Accepting request 709569 from home:TheBlackCat:branches:devel:languages:python:jupyter - Update to 6.2.4 * Improve compatibility with ipykernel 5 * Fix %autopx with IPython 7 * Fix non-local ip warning when using current hostname OBS-URL: https://build.opensuse.org/request/show/709569 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=7
2019-06-12 21:08:08 +00:00
Obsoletes: %{python_module jupyter_ipyparallel-doc < %{version}}
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%description -n jupyter-ipyparallel-doc
Documentation and help files for ipyparallel.
%prep
Accepting request 1045939 from home:bnavigator:branches:devel:languages:python:jupyter - Add deprecation warnings filters * ipyparallel-pr720+pr753-deprecationfilters.patch * gh#ipython/ipyparallel#729 * gh#ipython/ipyparallel#753 OBS-URL: https://build.opensuse.org/request/show/1045939 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=32
2022-12-31 16:34:28 +00:00
%autosetup -p1 -n ipyparallel-%{version}
sed -i 's/--color=yes//' pyproject.toml
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%build
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
%pyproject_wheel
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%install
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
%pyproject_install
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
# Prepare for update-alternatives
%python_clone -a %{buildroot}%{_bindir}/ipcluster
%python_clone -a %{buildroot}%{_bindir}/ipcontroller
%python_clone -a %{buildroot}%{_bindir}/ipengine
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
%{python_expand # These files are meant to be runnable stand-alone, so they should be executable
pushd %{buildroot}%{$python_sitelib}/ipyparallel
for f in apps/iploggerapp.py cluster/app.py engine/app.py controller/app.py controller/heartmonitor.py; do
chmod a+x $f
# Fix wrong-script-interpreter
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
sed -i "s|#!%{_bindir}/env python.*|#!%__$python|" $f
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
$python -m compileall $f
$python -O -m compileall $f
done
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
popd
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
%fdupes %{buildroot}%{$python_sitelib}
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
}
Accepting request 722514 from home:TheBlackCat:branches:devel:languages:python:jupyter Switch from wheel to sdist. OBS-URL: https://build.opensuse.org/request/show/722514 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=9
2019-08-12 02:06:23 +00:00
%fdupes %{buildroot}%{_jupyter_prefix}
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
Accepting request 722514 from home:TheBlackCat:branches:devel:languages:python:jupyter Switch from wheel to sdist. OBS-URL: https://build.opensuse.org/request/show/722514 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=9
2019-08-12 02:06:23 +00:00
%check
Accepting request 925912 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2021-10-17 22:24:53 +00:00
# can't get a public IP
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=28
2022-07-07 17:44:28 +00:00
donttest="test_disambiguate_ip"
# flaky tests
donttest+=" or test_imap_infinite"
donttest+=" or test_execute_raises"
donttest+=" or test_cellpx_keyboard_interrupt_signal_9"
donttest+=" or test_cellpx_keyboard_interrupt_SIGKILL"
donttest+=" or test_compositeerror_render_exception"
Accepting request 987744 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-07-07 18:58:19 +00:00
donttest+=" or test_local_ip_true_doesnt_trigger_warning"
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=28
2022-07-07 17:44:28 +00:00
%pytest -k "not ($donttest)"
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%post
Accepting request 946681 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-01-15 17:21:44 +00:00
%python_install_alternative ipcluster ipcontroller ipengine
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%postun
%python_uninstall_alternative ipcluster
%files %{python_files}
Accepting request 722514 from home:TheBlackCat:branches:devel:languages:python:jupyter Switch from wheel to sdist. OBS-URL: https://build.opensuse.org/request/show/722514 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=9
2019-08-12 02:06:23 +00:00
%license COPYING.md
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%python_alternative %{_bindir}/ipcluster
%python_alternative %{_bindir}/ipcontroller
%python_alternative %{_bindir}/ipengine
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
%{python_sitelib}/ipyparallel-%{version}*-info
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%{python_sitelib}/ipyparallel/
%files -n jupyter-ipyparallel
Accepting request 709569 from home:TheBlackCat:branches:devel:languages:python:jupyter - Update to 6.2.4 * Improve compatibility with ipykernel 5 * Fix %autopx with IPython 7 * Fix non-local ip warning when using current hostname OBS-URL: https://build.opensuse.org/request/show/709569 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=7
2019-06-12 21:08:08 +00:00
%license COPYING.md
Accepting request 722514 from home:TheBlackCat:branches:devel:languages:python:jupyter Switch from wheel to sdist. OBS-URL: https://build.opensuse.org/request/show/722514 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=9
2019-08-12 02:06:23 +00:00
%doc README.md
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
%{_jupyter_nbextension_dir}/ipyparallel/
Accepting request 946681 from home:bnavigator:branches:devel:languages:python:jupyter - 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
2022-01-15 17:21:44 +00:00
%{_jupyter_labextensions_dir3}/ipyparallel-labextension
Accepting request 961400 from home:bnavigator:branches:devel:languages:python:jupyter update by @apersaud OBS-URL: https://build.opensuse.org/request/show/961400 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=26
2022-03-13 08:21:20 +00:00
%{_jupyter_config} %{_jupyter_server_confdir}/ipyparallel.json
%{_jupyter_config} %{_jupyter_servextension_confdir}/ipyparallel.json
%{_jupyter_config} %{_jupyter_nb_tree_confdir}/ipyparallel.json
Accepting request 697890 from home:TheBlackCat:branches:devel:languages:python:jupyter - 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/697890 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:jupyter/python-ipyparallel?expand=0&rev=1
2019-04-25 15:55:43 +00:00
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