Steve Kowalik
8a50b560ff
* Use correct import path for Sequence. OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-distob?expand=0&rev=5
83 lines
2.6 KiB
RPMSpec
83 lines
2.6 KiB
RPMSpec
#
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# spec file for package python-distob
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#
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# Copyright (c) 2022 SUSE LLC
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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 https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python3-%{**}}
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%define skip_python2 1
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Name: python-distob
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Version: 0.3.3
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Release: 0
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Summary: Distributed computing using remote objects
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License: GPL-3.0-or-later
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URL: https://github.com/mattja/distob/
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Source: https://files.pythonhosted.org/packages/source/d/distob/distob-%{version}.tar.gz
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Patch0: support-python-310.patch
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BuildRequires: %{python_module devel}
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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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Requires: python-dill >= 0.2.1
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Requires: python-ipyparallel >= 4.0
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Requires: python-pyzmq >= 2.1.11
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Recommends: python-numpy >= 1.6
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BuildArch: noarch
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# SECTION test requirements
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BuildRequires: %{python_module dill >= 0.2.1}
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BuildRequires: %{python_module ipyparallel >= 4.0}
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BuildRequires: %{python_module numpy >= 1.6}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module pyzmq >= 2.1.11}
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# /SECTION
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%python_subpackages
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%description
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Distob will take your existing python objects, or a sequence of
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objects, and scatter them onto many IPython parallel engines, which
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may be running on a single computer or on a cluster.
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In place of the original objects, proxy objects are kept on the client
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computer that provide the same interface as the original objects. You
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can continue to use these as if the objects were still local. All
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methods are passed through to the remote objects, where computation is
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done.
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In particular, sending numpy arrays to the cluster is supported.
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A numpy array can also be scattered across the cluster, along a
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particular axis. Operations on the array can then be automatically
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done in parallel.
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%prep
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%autosetup -p1 -n distob-%{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 %fdupes %{buildroot}%{$python_sitelib}
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%check
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%pytest
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%files %{python_files}
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%doc README.rst
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%license LICENSE
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%{python_sitelib}/*
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%changelog
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