998b50699a
- update to version 1.21.6:
* Fix numeric environment variable configuration (GH#1885) Joseph
Atkins-Kurkish
* support bytearrays in older lz4 library (GH#1886) Matthew Rocklin
* Remove started timeout in nanny (GH#1852) Matthew Rocklin
* Don’t log errors in sync (GH#1894) Matthew Rocklin
* downgrade stale lock warning to info logging level (GH#1890)
Matthew Rocklin
* Fix UnboundLocalError for key (GH#1900) John Kirkham
* Resolve deployment issues in Python 2 (GH#1905) Matthew Rocklin
* Support retries and priority in Client.get method (GH#1902)
Matthew Rocklin
* Add additional attributes to task page if applicable (GH#1901)
Matthew Rocklin
* Add count method to as_completed (GH#1897) Matthew Rocklin
* Extend default timeout to 10s (GH#1904) Matthew Rocklin
- changes from version 1.21.5:
* Increase default allowable tick time to 3s (GH#1854) Matthew
Rocklin
* Handle errant workers when another worker has data (GH#1853)
Matthew Rocklin
* Close multiprocessing queue in Nanny to reduce open file
descriptors (GH#1862) Matthew Rocklin
* Extend nanny started timeout to 30s, make configurable (GH#1865)
Matthew Rocklin
* Comment out the default config file (GH#1871) Matthew Rocklin
* Update to fix bokeh 0.12.15 update errors (GH#1872) Matthew
Rocklin
* Downgrade Event Loop unresponsive warning to INFO level (GH#1870)
Matthew Rocklin
* Add fifo timeout to control priority generation (GH#1828) Matthew
Rocklin
* Add retire_workers API to Client (GH#1876) Matthew Rocklin
* Catch NoSuchProcess error in Nanny.memory_monitor (GH#1877)
Matthew Rocklin
* Add uid to nanny queue communitcations (GH#1880) Matthew Rocklin
- changes from version 1.21.4:
* Avoid passing bytearrays to snappy decompression (GH#1831) Matthew
Rocklin
* Specify IOLoop in Adaptive (GH#1841) Matthew Rocklin
* Use connect-timeout config value throughout client (GH#1839)
Matthew Rocklin
* Support direct= keyword argument in Client.get (GH#1845) Matthew
Rocklin
- changes from version 1.21.3:
* Add cluster superclass and improve adaptivity (GH#1813) Matthew
Rocklin
* Fixup tests and support Python 2 for Tornado 5.0 (GH#1818) Matthew
Rocklin
* Fix bug in recreate_error when dependencies are dropped (GH#1815)
Matthew Rocklin
* Add worker time to live in Scheduler (GH#1811) Matthew Rocklin
* Scale adaptive based on total_occupancy (GH#1807) Matthew Rocklin
* Support calling compute within worker_client (GH#1814) Matthew
Rocklin
* Add percentage to profile plot (GH#1817) Brett Naul
* Overwrite option for remote python in dask-ssh (GH#1812) Sven
Kreiss
- changes from version 1.21.2:
* Fix bug where we didn’t check idle/saturated when stealing
(GH#1801) Matthew Rocklin
* Fix bug where client was noisy when scheduler closed unexpectedly
(GH#1806) Matthew Rocklin
* Use string-based timedeltas (like '500 ms') everywhere (GH#1804)
Matthew Rocklin
* Keep logs in scheduler and worker even if silenced (GH#1803)
Matthew Rocklin
* Support minimum, maximum, wait_count keywords in Adaptive
(GH#1797) Jacob Tomlinson and Matthew Rocklin
* Support async protocols for LocalCluster, replace start= with
asynchronous= (GH#1798) Matthew Rocklin
* Avoid restarting workers when nanny waits on scheduler (GH#1793)
Matthew Rocklin
* Use IOStream.read_into() when available (GH#1477) Antoine Pitrou
* Reduce LocalCluster logging threshold from CRITICAL to WARN
(GH#1785) Andy Jones
* Add futures_of to API docs (GH#1783) John Kirkham
* Make diagnostics link in client configurable (GH#1810) Matthew
Rocklin
- changes from version 1.21.1:
* Fixed an uncaught exception in distributed.joblib with a
LocalCluster using only threads (GH#1775) Tom Augspurger
* Format bytes in info worker page (GH#1752) Matthew Rocklin
* Add pass-through arguments for scheduler/worker –preload
modules. (GH#1634) Alexander Ford
* Use new LZ4 API (GH#1757) Thrasibule
* Replace dask.optimize with dask.optimization (GH#1754) Matthew
Rocklin
* Add graph layout engine and bokeh plot (GH#1756) Matthew Rocklin
* Only expand name with –nprocs if name exists (GH#1776) Matthew
Rocklin
* specify IOLoop for stealing PeriodicCallback (GH#1777) Matthew
Rocklin
* Fixed distributed.joblib with no processes Tom Augspurger
* Use set.discard to avoid KeyErrors in stealing (GH#1766) Matthew
Rocklin
* Avoid KeyError when task has been released during steal (GH#1765)
Matthew Rocklin
* Add versions routes to avoid the use of run in Client.get_versions
(GH#1773) Matthew Rocklin
* Add write_scheduler_file to Client (GH#1778) Joe Hamman
* Default host to tls:// if tls information provided (GH#1780)
Matthew Rocklin
- Update descriptions.
OBS-URL: https://build.opensuse.org/request/show/603175
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-distributed?expand=0&rev=2
109 lines
3.5 KiB
RPMSpec
109 lines
3.5 KiB
RPMSpec
#
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# spec file for package python-distributed
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#
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# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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# Test requires network connection
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%bcond_with test
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Name: python-distributed
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Version: 1.21.6
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Release: 0
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Summary: Library for distributed computing with Python
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License: BSD-3-Clause
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Group: Development/Languages/Python
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Url: https://distributed.readthedocs.io/en/latest/
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Source: https://files.pythonhosted.org/packages/source/d/distributed/distributed-%{version}.tar.gz
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Source99: python-distributed-rpmlintrc
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module joblib >= 0.10.2}
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BuildRequires: %{python_module scikit-learn >= 0.17.1}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: python2-futures
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Requires: python-certifi
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Requires: python-click >= 6.6
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Requires: python-cloudpickle >= 0.2.2
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Requires: python-dask >= 0.14.1
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Requires: python-joblib >= 0.10.2
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Requires: python-msgpack-python
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Requires: python-psutil
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Requires: python-scikit-learn >= 0.17.1
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Requires: python-six
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Requires: python-sortedcontainers
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Requires: python-tblib
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Requires: python-toolz >= 0.7.4
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Requires: python-tornado >= 4.4
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Requires: python-zict >= 0.1.2
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BuildArch: noarch
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%if %{with test}
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BuildRequires: %{python_module certifi}
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BuildRequires: %{python_module click >= 6.6}
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BuildRequires: %{python_module cloudpickle >= 0.2.2}
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BuildRequires: %{python_module dask >= 0.14.1}
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BuildRequires: %{python_module msgpack-python}
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BuildRequires: %{python_module psutil}
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BuildRequires: %{python_module six}
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BuildRequires: %{python_module sortedcontainers}
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BuildRequires: %{python_module tblib}
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BuildRequires: %{python_module toolz >= 0.7.4}
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BuildRequires: %{python_module tornado >= 4.4}
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BuildRequires: %{python_module zict >= 0.1.2}
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%endif
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%ifpython2
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Requires: python-futures
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Requires: python-singledispatch
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%endif
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%python_subpackages
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%description
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Dask.distributed is a library for distributed computing in Python. It
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extends both the concurrent.futures and dask APIs to moderate sized
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clusters.
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%prep
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%setup -q -n distributed-%{version}
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%build
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%python_build
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%install
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%python_install
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%{python_expand chmod a-x %{buildroot}%{$python_sitelib}/distributed/tests/test_utils_test.py
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# Deduplicating files can generate a RPMLINT warning for pyc mtime
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%fdupes %{buildroot}%{$python_sitelib}
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}
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%if %{with test}
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%check
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%python_exec setup.py test
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%endif
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%files %{python_files}
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%doc README.rst
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%license LICENSE.txt
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%python3_only %{_bindir}/dask-ssh
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%python3_only %{_bindir}/dask-submit
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%python3_only %{_bindir}/dask-remote
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%python3_only %{_bindir}/dask-scheduler
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%python3_only %{_bindir}/dask-worker
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%python3_only %{_bindir}/dask-mpi
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%{python_sitelib}/*
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%changelog
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