forked from pool/python-distributed
Accepting request 603175 from devel:languages:python
- 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
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@@ -16,14 +16,13 @@
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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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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-distributed
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Version: 1.21.0
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Version: 1.21.6
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Release: 0
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Summary: Distributed computing
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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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@@ -36,20 +35,6 @@ 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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%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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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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@@ -64,17 +49,31 @@ 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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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildArch: noarch
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%python_subpackages
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%description
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A library for distributed computation.
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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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@@ -96,7 +95,6 @@ A library for distributed computation.
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%endif
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%files %{python_files}
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%defattr(-,root,root,-)
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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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