From eeb2ef7a013165392db3a20dade98cc4924cddd1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Adrian=20Schr=C3=B6ter?= Date: Wed, 17 May 2023 14:53:03 +0200 Subject: [PATCH] Sync from SUSE:ALP:Source:Standard:1.0 python-Bottleneck revision 93f9b474d1e397b83ee2100ad6be3499 --- .gitattributes | 23 +++ Bottleneck-1.3.7.tar.gz | 3 + python-Bottleneck.changes | 282 ++++++++++++++++++++++++++++++++++++ python-Bottleneck.rpmlintrc | 2 + python-Bottleneck.spec | 62 ++++++++ 5 files changed, 372 insertions(+) create mode 100644 .gitattributes create mode 100644 Bottleneck-1.3.7.tar.gz create mode 100644 python-Bottleneck.changes create mode 100644 python-Bottleneck.rpmlintrc create mode 100644 python-Bottleneck.spec diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..fecc750 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,23 @@ +## Default LFS +*.7z filter=lfs diff=lfs merge=lfs -text +*.bsp filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.gem filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.jar filter=lfs diff=lfs merge=lfs -text +*.lz filter=lfs diff=lfs merge=lfs -text +*.lzma filter=lfs diff=lfs merge=lfs -text +*.obscpio filter=lfs diff=lfs merge=lfs -text +*.oxt filter=lfs diff=lfs merge=lfs -text +*.pdf filter=lfs diff=lfs merge=lfs -text +*.png filter=lfs diff=lfs merge=lfs -text +*.rpm filter=lfs diff=lfs merge=lfs -text +*.tbz filter=lfs diff=lfs merge=lfs -text +*.tbz2 filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.ttf filter=lfs diff=lfs merge=lfs -text +*.txz filter=lfs diff=lfs merge=lfs -text +*.whl filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text diff --git a/Bottleneck-1.3.7.tar.gz b/Bottleneck-1.3.7.tar.gz new file mode 100644 index 0000000..33decdf --- /dev/null +++ b/Bottleneck-1.3.7.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e1467e373ad469da340ed0ff283214d6531cc08bfdca2083361a3aa6470681f8 +size 103067 diff --git a/python-Bottleneck.changes b/python-Bottleneck.changes new file mode 100644 index 0000000..1564839 --- /dev/null +++ b/python-Bottleneck.changes @@ -0,0 +1,282 @@ +------------------------------------------------------------------- +Tue Mar 14 22:42:33 UTC 2023 - Dirk Müller + +- update to 1.3.7: + * Python 3.11 wheel available + +------------------------------------------------------------------- +Fri Jan 20 15:18:50 UTC 2023 - Dirk Müller + +- update to 1.3.6: + * Fix ValueError: cannot convert float NaN to integer with new numpy + version + * Python 3.6 wheel won't be built anymore because of the deprecation in + the associated Python Github action + +------------------------------------------------------------------- +Fri Dec 23 17:21:43 UTC 2022 - Ben Greiner + +- Skip a failing test -- gh#pydata/bottleneck#423 +- Add rpmlintrc + +------------------------------------------------------------------- +Sun Aug 14 15:00:35 UTC 2022 - Arun Persaud + +- update to version 1.3.5: + * Bug Fixes + + Fix numpy deprecation of non-tuple indices + * Enhancements + + Switch build to manylinux_2_24_x86_64 using cibuildwheel + +------------------------------------------------------------------- +Sat Mar 12 05:34:03 UTC 2022 - Arun Persaud + +- specfile: + * update copyright year + +- update to version 1.3.4: + * Bug Fixes + + Fix Memory leak with big-endian data + +- changes from version 1.3.3: + * Bug Fixes + + Fix Python 3.10 build + * Enhancements + + Provide pre-compiled wheels for most x86_64 architectures + +------------------------------------------------------------------- +Wed Feb 17 22:59:05 UTC 2021 - Benjamin Greiner + +- Skip python36 build: NumPy 1.20 in Tumbleweed does not provide + python36-numpy anymore (NEP 29). + +------------------------------------------------------------------- +Mon Mar 30 07:02:07 UTC 2020 - John Vandenberg + +- Require numpy 1.16.0, removing Python 2 support which provides + a lower version +- Activate test suite + +------------------------------------------------------------------- +Sat Mar 14 15:57:22 UTC 2020 - Arun Persaud + +- specfile: + * update copyright year + +- update to version 1.3.2: + * Bug Fixes + + Explicitly declare numpy version dependency in pyproject.toml + for Python 3.8, fixing certain cases where pip install would + fail. Thanks to @goggle, @astrofrog, and @0xb0b for + reporting. (:issue:`277`) + +------------------------------------------------------------------- +Fri Nov 22 06:15:40 UTC 2019 - Arun Persaud + +- specfile: + * update copyright year + +- update to version 1.3.1: + * Bug Fixes + + Fix memory leak in :func:`bottleneck.nanmedian` with the default + argument of axis=None. Thanks to @jsmodic for reporting! + (:issue:`276`, :issue:`278`) + + Add regression test for memory leak case (:issue:`279`) + +- changes from version 1.3.0: + * Project Updates + + Bottleneck has a new maintainer, Christopher Whelan (@qwhelan on + GitHub). + + Documentation now hosted at https://bottleneck.readthedocs.io + + 1.3.x will be the last release to support Python 2.7 + + Bottleneck now supports and is tested against Python 3.7 and + 3.8. (:issue:`211`, :issue:`268`) + + The LICENSE file has been restructured to only include the + license for the Bottleneck project to aid license audit + tools. There has been no change to the licensing of Bottleneck. + + Licenses for other projects incorporated by Bottleneck are now + reproduced in full in separate files in the LICENSES/ directory + (eg, LICENSES/NUMPY_LICENSE) + + All licenses have been updated. Notably, setuptools is now MIT + licensed and no longer under the ambiguous dual PSF/Zope + license. + + Bottleneck now uses PEP 518 for specifying build dependencies, + with per Python version specifications (:issue:`247`) + * Enhancements + + Remove numpydoc package from Bottleneck source distribution + + :func:`bottleneck.slow.reduce.nansum` and + :func:`bottleneck.slow.reduce.ss` now longer coerce output to + have the same dtype as input + + Test (tox, travis, appveyor) against latest numpy (in conda) + + Performance benchmarking also available via asv + + versioneer now used for versioning (:issue:`213`) + + Test suite now uses pytest as nose is deprecated (:issue:`222`) + + python setup.py build_ext --inplace is now incremental + (:issue:`224`) + + python setup.py clean now cleans all artifacts (:issue:`226`) + + Compiler feature support now identified by testing rather than + hardcoding (:issue:`227`) + + The BN_OPT_3 macro allows selective use of -O3 at the function + level (:issue:`223`) + + Contributors are now automatically cited in the release notes + (:issue:`244`) + * Performance + + Speed up :func:`bottleneck.reduce.anynan` and + :func:`bottleneck.reduce.allnan` by 2x via BN_OPT_3 + (:issue:`223`) + + All functions covered by asv benchmarks + + :func:`bottleneck.nonreduce.replace` speedup of 4x via more + explicit typing (:issue:`239`) + + :func:`bottleneck.reduce.median` up to 2x faster for + Fortran-ordered arrays (:issue:`248`) + * Bug Fixes + + Documentation fails to build on Python 3 (:issue:`170`) + + :func:`bottleneck.benchmark.bench` crashes on python 3.6.3, + numpy 1.13.3 (:issue:`175`) + + :func:`bottleneck.nonreduce_axis.push` raises when n=None is + explicitly passed (:issue:`178`) + + :func:`bottleneck.reduce.nansum` wrong output when a = + np.ones((2, 2))[..., np.newaxis] same issue of other reduce + functions (:issue:`183`) + + Silenced FutureWarning from NumPy in the slow version of move + functions (:issue:`194`) + + Installing bottleneck onto a system that does not already have + Numpy (:issue:`195`) + + Memory leaked when input was not a NumPy array (:issue:`201`) + + Tautological comparison in :func:`bottleneck.move.move_rank` + removed (:issue:`207`, :issue:`212`) + * Cleanup + + The ez_setup.py module is no longer packaged (:issue:`211`) + + Building documentation is now self-contained in make doc + (:issue:`214`) + + Codebase now flake8 compliant and run on every commit + + Codebase now uses black for autoformatting (:issue:`253`) + +------------------------------------------------------------------- +Wed Sep 27 22:20:10 UTC 2017 - arun@gmx.de + +- update to version 1.2.1: + * #156 Installing bottleneck when two versions of NumPy are present + * #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware + * #159 Occasional segmentation fault in nanargmin, nanargmax, + median, and nanmedian when all of the following conditions are + met: axis is None, input array is 2d or greater, and input array + is not C contiguous. + * #163 Reducing np.array([2**31], dtype=np.int64) overflows on + Windows + +------------------------------------------------------------------- +Wed Apr 19 18:37:17 UTC 2017 - toddrme2178@gmail.com + +- Implement single-spec version. + +------------------------------------------------------------------- +Mon Nov 14 14:24:23 UTC 2016 - dmueller@suse.com + +- update to 1.2.0: + This release is a complete rewrite of Bottleneck. + - Bottleneck is now written in C + - Cython is no longer a dependency + - Source tarball size reduced by 80% + - Build time reduced by 66% + - Install size reduced by 45% + +------------------------------------------------------------------- +Mon Apr 27 19:23:55 UTC 2015 - benoit.monin@gmx.fr + +- update to version 1.0.0: + * "python setup.py build" is 18.7 times faster + * Function-call overhead cut in half---a big speed up for small + input arrays + * Arbitrary ndim input arrays accelerated; previously only 1d, + 2d, and 3d + * bn.nanrankdata is twice as fast for float input arrays + * bn.move_max, bn.move_min are faster for int input arrays + * No speed penalty for reducing along all axes when input is + Fortran ordered + * Compiled binaries 14.1 times smaller + * Source tarball 4.7 times smaller + * 9.8 times less C code + * 4.3 times less Cython code + * 3.7 times less Python code + * Requires numpy 1.9.1 + * Single API, e.g.: bn.nansum instead of bn.nansum and + nansum_2d_float64_axis0 + * On 64-bit systems bn.nansum(int32) returns int32 instead of + int64 + * bn.nansum now returns 0 for all NaN slices (as does numpy + 1.9.1) + * Reducing over all axes returns, e.g., 6.0; previously + np.float64(6.0) + * bn.ss() now has default axis=None instead of axis=0 + * bn.nn() is no longer in bottleneck + * Previous releases had moving window function pairs: move_sum, + move_nansum + * This release only has half of the pairs: move_sum + * Instead a new input parameter, min_count, has been added + * min_count=None same as old move_sum; min_count=1 same as old + move_nansum + * If # non-NaN values in window < min_count, then NaN assigned + to the window + * Exception: move_median does not take min_count as input + * Can now install bottleneck with pip even if numpy is not + already installed + * bn.move_max, bn.move_min now return float32 for float32 input +- increase required numpy version to 1.9.1 + +------------------------------------------------------------------- +Thu May 8 10:58:17 UTC 2014 - toddrme2178@gmail.com + +- Update to version 0.8.0 + - This version of Bottleneck requires NumPy 1.8 + - nanargmin and nanargmax behave like the corresponding functions in NumPy 1.8 + - nanargmax/nanargmin wrong for redundant max/min values in 1d int arrays + +------------------------------------------------------------------- +Tue Oct 22 12:07:46 UTC 2013 - toddrme2178@gmail.com + +- Update to version 0.7.0 + + bn.rankdata() is twice as fast (with input a = np.random.rand(1000000)) + + C files now included in github repo; cython not needed to try latest + + C files are now generated with Cython 0.19.1 instead of 0.16 + + Test bottleneck across multiple python/numpy versions using tox + + Source tarball size cut in half + +------------------------------------------------------------------- +Fri Jun 22 13:11:43 UTC 2012 - saschpe@suse.de + +- %py_requires is only needed for SLE_11_SP2 (and older), newer Python + package releases generate the RPM requires for the Python ABI automatically + +------------------------------------------------------------------- +Fri Jun 22 12:25:12 UTC 2012 - saschpe@suse.de + +- Update to version 0.6.0: + + replace(arr, old, new), e.g, replace(arr, np.nan, 0) + + nn(arr, arr0, axis) nearest neighbor and its index of 1d arr0 in 2d arr + + anynan(arr, axis) faster alternative to np.isnan(arr).any(axis) + + allnan(arr, axis) faster alternative to np.isnan(arr).all(axis) + + Python 3.2 support (may work on earlier verions of Python 3) + + C files are now generated with Cython 0.16 instead of 0.14.1 + + Upgrade numpydoc from 0.3.1 to 0.4 to support Sphinx 1.0.1 + + Support for Python 2.5 dropped + + Default axis for benchmark suite is now axis=1 (was 0) + + #31 Confusing error message in partsort and argpartsort + + #32 Update path in MANIFEST.in + + #35 Wrong output for very large (2**31) input arrays + +------------------------------------------------------------------- +Fri Jun 1 09:05:36 UTC 2012 - toddrme2178@gmail.com + +- spec file cleanups +- fix license tag + +------------------------------------------------------------------- +Mon Feb 27 21:55:40 UTC 2012 - scorot@free.fr + +- version 0.5.0 + +------------------------------------------------------------------- +Fri Jan 22 00:00:00 UTC 2011 - scorot@gtt.fr + +- Initial release diff --git a/python-Bottleneck.rpmlintrc b/python-Bottleneck.rpmlintrc new file mode 100644 index 0000000..ea83f73 --- /dev/null +++ b/python-Bottleneck.rpmlintrc @@ -0,0 +1,2 @@ +# Required for testing the installed module +addFilter("devel-file-in-non-devel-package.*bottleneck/tests/data/template_test") diff --git a/python-Bottleneck.spec b/python-Bottleneck.spec new file mode 100644 index 0000000..6aa7f91 --- /dev/null +++ b/python-Bottleneck.spec @@ -0,0 +1,62 @@ +# +# spec file for package python-Bottleneck +# +# Copyright (c) 2023 SUSE LLC +# +# All modifications and additions to the file contributed by third parties +# remain the property of their copyright owners, unless otherwise agreed +# upon. The license for this file, and modifications and additions to the +# file, is the same license as for the pristine package itself (unless the +# license for the pristine package is not an Open Source License, in which +# case the license is the MIT License). An "Open Source License" is a +# license that conforms to the Open Source Definition (Version 1.9) +# published by the Open Source Initiative. + +# Please submit bugfixes or comments via https://bugs.opensuse.org/ +# + + +%define skip_python2 1 +Name: python-Bottleneck +Version: 1.3.7 +Release: 0 +Summary: A collection of fast NumPy array functions +License: BSD-2-Clause AND BSD-3-Clause +URL: https://github.com/pydata/bottleneck +Source0: https://files.pythonhosted.org/packages/source/B/Bottleneck/Bottleneck-%{version}.tar.gz +Source99: python-Bottleneck.rpmlintrc +BuildRequires: %{python_module devel} +BuildRequires: %{python_module numpy-devel >= 1.16.0} +BuildRequires: %{python_module pytest} +BuildRequires: %{python_module setuptools} +BuildRequires: fdupes +BuildRequires: python-rpm-macros +Requires: python-numpy >= 1.16.0 +%python_subpackages + +%description +Bottleneck is a collection of fast NumPy array functions written in C. + +%prep +%setup -q -n Bottleneck-%{version} + +%build +export CFLAGS="%{optflags} -fno-strict-aliasing" +%python_build + +%install +%python_install +%python_expand %fdupes %{buildroot}%{$python_sitearch} + +%check +# https://github.com/pydata/bottleneck/issues/423 +donttest="(move_test and test_move)" +%pytest_arch --pyargs bottleneck -k "not ($donttest)" + +%files %{python_files} +%license LICENSE +%doc README.rst RELEASE.rst +%{python_sitearch}/bottleneck/ +%{python_sitearch}/Bottleneck-%{version}*-info + +%changelog