forked from pool/python-Rtree
Markéta Machová
bdf060e93b
new requirement of spyder 5.0.3 OBS-URL: https://build.opensuse.org/request/show/894008 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-Rtree?expand=0&rev=1
76 lines
2.3 KiB
RPMSpec
76 lines
2.3 KiB
RPMSpec
#
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# spec file for package python-Rtree
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#
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# Copyright (c) 2021 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() python-%{**} python3-%{**}}
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%define skip_python36 1
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Name: python-Rtree
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Version: 0.9.7
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Release: 0
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Summary: R-Tree spatial index for Python GIS
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License: MIT
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URL: https://github.com/Toblerity/rtree
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Source: https://files.pythonhosted.org/packages/source/R/Rtree/Rtree-%{version}.tar.gz
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Source99: python-Rtree-rpmlintrc
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# PATCH-FIX-OPENSUSE Rtree-opensuse-noarch.patch -- we don't put spatialindex into a wheel so the module is kept pure. <code@bnavigator.de>
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Patch0: Rtree-opensuse-noarch.patch
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BuildRequires: %{python_module numpy}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: libspatialindex4
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BuildRequires: python-rpm-macros
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Requires: libspatialindex4
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Provides: python-rtree = %{version}-%{release}
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BuildArch: noarch
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%python_subpackages
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%description
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A ctypes Python wrapper of libspatialindex that provides a number of advanced
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spatial indexing features for the spatially curious Python user.
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* Nearest neighbor search
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* Intersection search
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* Multi-dimensional indexes
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* Clustered indexes (store Python pickles directly with index entries)
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* Bulk loading
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* Deletion
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* Disk serialization
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* Custom storage implementation (to implement spatial indexing in ZODB,
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for example)
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%prep
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%autosetup -p1 -n Rtree-%{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.md
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%license LICENSE.txt
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%{python_sitelib}/rtree
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%{python_sitelib}/Rtree-%{version}*-info
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%changelog
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