jupyter-ipyparallel-6.3.0~git.20191010T150914.ce996ae-bp154.1.35 >  A b|a6!M@eee0J&^$3I*:g( :JQc !@Fހeig@=ACŒ]b<߹(Z@|٣@Q(y1IG\JB , (K" ̴َo3~~8; $Z⯉F iݕUVh jef”9+_C0%4hLrǶ#'xʩքC[*$&wd&!BGq9b65a1ae09f67ce34be169fbf7a989f58b1afa7b509b32e05b806afb9e156226ebea20719fab8ed2ee622a60983cb83c2123263e<@b|a6!M@eeer;-pW ʭc/s?sAèr @U{;nNiS] oҫΛi{@vkI{C;XW{9h`wYֆ G`YQi{,#-~lS626v@?~6VWϢ=M{cpc92[-7kk@IV!.(FMB:]`$>x=g>YQ&Pd]r\!*Q<<0>p>'@?'0d8 C v"/ If             B t < ` 1 (89: )B"F".G"@ H"h I" X"Y"Z#$[#(\#L ]#t ^$"b%:c%d&We&\f&_l&au&t v&z&&&&',Cjupyter-ipyparallel6.3.0~git.20191010T150914.ce996aebp154.1.35Interactive parallel computing library for IPythonUse multiple instances of IPython in parallel, interactively. This package provides the jupyter notebook extension.b|alamb515/SUSE Linux Enterprise 15 SP4openSUSEBSD-3-Clausehttps://bugs.opensuse.orgDevelopment/Languages/Pythonhttps://github.com/ipython/ipyparallellinuxnoarchv<T { A큤A큤A큤]-z]-zb|a]-zb|`m]-z]-z]-zb|a]-zf99bedb4bc3c7ac7ae26b9edec63a2e94373f6e14883a67aa914919d81d7f8032b6b933bbbb552da4d4b05448ad1d0fb676ede6ae1277d24dbdcb65774f6739e02ead9f64eca0a1e1286afddd416acf763b16d04ec110e69a6d70fa4e327e05e792ca4baa955b277410cf774b4b48264a18c45ebd7eb0fdac01b1a29b23806c3f03d7ff2efb61c974546373969e2cd133c6a93e8af6caf56764388c84fac52fa5fd7657bfbe74750c5163070dab03e1e30087edc94cc1f8c387d7d8367ff144771c89129039b870cc92309466c4fbe8f285a82fa0ea36f0e840fa83979cbe31frootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootpython-ipyparallel-6.3.0~git.20191010T150914.ce996ae-bp154.1.35.src.rpmconfig(jupyter-ipyparallel)jupyter-ipyparallelpython-jupyter_ipyparallel-nbextension     config(jupyter-ipyparallel)jupyter-jupyter-corejupyter-notebookpython3-ipyparallelrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)rpmlib(TildeInVersions)6.3.0~git.20191010T150914.ce996ae-bp154.1.356.3.0~git.20191010T150914.ce996ae3.0.4-14.6.0-14.0-15.2-14.10.0-14.14.3^@^j$@]ʞ]c]P@]@\@\'@[b@[@Zv@Z@YX@YX@YY@X@X@V`Vf@UM@Uݪ@Tomáš Chvátal hpj@urpla.netTodd R Todd R Todd R Todd R Todd R Todd R toddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.com- Drop py2 code from py3 only package- 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- Drop python2 support due to python-notebook dropping python2 support- Fix spurious test failure- Switch from wheel to sdist.- Update to 6.2.4 * Improve compatibility with ipykernel 5 * Fix %autopx with IPython 7 * Fix non-local ip warning when using current hostname- 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 `_ and `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 `_ 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 versionpython-jupyter_ipyparallel-nbextensionlamb51 1652318495 6.3.0~git.20191010T150914.ce996ae-bp154.1.356.3.0~git.20191010T150914.ce996ae-bp154.1.356.3.0~git.20191010T150914.ce996ae6.3.0~git.20191010T150914.ce996aeipyparallel-serverextension.jsonipyparallel-nbextension.jsonjupyter-ipyparallelREADME.mdipyparallelclusterlist.cssclusterlist.jsmain.jsjupyter-ipyparallelCOPYING.md/etc/jupyter/jupyter_notebook_config.d//etc/jupyter/nbconfig/tree.d//usr/share/doc/packages//usr/share/doc/packages/jupyter-ipyparallel//usr/share/jupyter/nbextensions//usr/share/jupyter/nbextensions/ipyparallel//usr/share/licenses//usr/share/licenses/jupyter-ipyparallel/-fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protection -gobs://build.opensuse.org/openSUSE:Backports:SLE-15-SP4/standard/ccf017874e4841b71d25da1944f5d7f0-python-ipyparallelcpioxz5noarch-suse-linuxASCII textdirectoryassembler source, ASCII text"j$J`utf-8180290d1c5cf2d208f042038deb00657bd6df5f1f5784aef9186b587a2197466? 7zXZ !t/Wc;/2#$~Hl%:t TRWO M CM@u @˃p,چ{N/b@^ȐXFF\ЁDn9di D-65˘}m3wԮlͰ<˔h`1Ոg#9isma0ͪjqW%6- 3,(⏫|fh-5dƔI1t= "xZx,Պ%/Ä $F3;/ڂaZ؈xT~`H߬~UIq/7FwN%QEp戄mxC&[HЛ 7nZIrY!ڽ< ę~qqv=TMq<=ՠG"<x7o|&4 n~=e%j̠j֧.%0Zyi5k /m!7^۟8Deeǔd59UӋH?p K/daCFm%]Rc "PFA[뾣=MvU⧰O' *lS6EN*)O/{)7_cOV@l9Lb n]tnFPk%PGMOn vx+ A,j12dž  /W#@Gs0jɯPBM 2Ӝȉ)Yk h[ueBvs_w8f6VhVI{R|nm\ԖIJ7 %_5={l +ʲ 9C6}6>DuH:OY_3? 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