Accepting request 792356 from devel:languages:python:numeric
- Do not use alternatives on HPC as it is pain to get it working - Also still install f2py<PYTHON_MAJOR> that is used by many other depending software - Use update-alternatives for /usr/bin/f2py - update to version 1.18.2: * #15675: TST: move _no_tracing to testing._private * #15676: MAINT: Large overhead in some random functions * #15677: TST: Do not create gfortran link in azure Mac testing. * #15679: BUG: Added missing error check in ndarray.__contains__ * #15722: MAINT: use list-based APIs to call subprocesses * #15734: BUG: fix logic error when nm fails on 32-bit - update to version 1.18.1 * The cython random extension test was not using a temporary directory for building, resulting in a permission violation. * Numpy distutils was appending -std=c99 to all C compiler runs, leading to changed behavior and compile problems downstream. That flag is now only applied when building numpy C code. - update to version 1.18.0: + Highlights * The C-API for ``numpy.random`` has been defined and documented. * Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries. * Many documentation improvements. + New functions * Multivariate hypergeometric distribution added to ``numpy.random`` + Deprecations OBS-URL: https://build.opensuse.org/request/show/792356 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=88
This commit is contained in:
Git OBS Bridge
commit
29be322a4b
@ -1,10 +1,10 @@
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<constraints>
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<hardware>
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<physicalmemory>
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<size unit="G">5</size>
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<size unit="G">6</size>
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</physicalmemory>
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<disk>
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<size unit="G">5</size>
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<size unit="G">6</size>
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</disk>
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</hardware>
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</constraints>
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f58913e9227400f1395c7b800503ebfdb0772f1c33ff8cb4d6451c06cabdf316
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size 6366657
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3
numpy-1.18.2.zip
Normal file
3
numpy-1.18.2.zip
Normal file
@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7894793e6e8540dbeac77c87b489e331947813511108ae097f1715c018b8f3d
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size 5433240
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@ -1,2 +1,3 @@
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# This file is required for testing
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addFilter("devel-file-in-non-devel-package.*/usr/lib.*/python.*/site-packages/numpy/f2py/tests/src/array_from_pyobj/wrapmodule.c")
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addFilter("hidden-file-or-dir .*/numpy/f2py/tests/src/assumed_shape/.f2py_f2cmap")
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@ -1,3 +1,126 @@
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-------------------------------------------------------------------
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Tue Apr 7 13:08:32 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Do not use alternatives on HPC as it is pain to get it working
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-------------------------------------------------------------------
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Tue Apr 7 11:55:43 UTC 2020 - Tomáš Chvátal <tchvatal@suse.com>
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- Also still install f2py<PYTHON_MAJOR> that is used by many other
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depending software
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-------------------------------------------------------------------
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Mon Apr 6 21:42:29 UTC 2020 - Matej Cepl <mcepl@suse.com>
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- Use update-alternatives for /usr/bin/f2py
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-------------------------------------------------------------------
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Sat Mar 28 16:39:11 UTC 2020 - Arun Persaud <arun@gmx.de>
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- update to version 1.18.2:
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* #15675: TST: move _no_tracing to testing._private
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* #15676: MAINT: Large overhead in some random functions
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* #15677: TST: Do not create gfortran link in azure Mac testing.
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* #15679: BUG: Added missing error check in ndarray.__contains__
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* #15722: MAINT: use list-based APIs to call subprocesses
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* #15734: BUG: fix logic error when nm fails on 32-bit
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-------------------------------------------------------------------
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Tue Jan 7 15:10:48 UTC 2020 - Todd R <toddrme2178@gmail.com>
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- update to version 1.18.1
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* The cython random extension test was not using a temporary
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directory for building, resulting in a permission violation.
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* Numpy distutils was appending -std=c99 to all C compiler runs,
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leading to changed behavior and compile problems downstream.
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That flag is now only applied when building numpy C code.
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-------------------------------------------------------------------
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Mon Jan 6 15:34:51 UTC 2020 - Todd R <toddrme2178@gmail.com>
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- update to version 1.18.0:
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+ Highlights
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* The C-API for ``numpy.random`` has been defined and documented.
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* Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries.
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* Many documentation improvements.
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+ New functions
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* Multivariate hypergeometric distribution added to ``numpy.random``
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+ Deprecations
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* ``np.fromfile`` and ``np.fromstring`` will error on bad data
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* Deprecate non-scalar arrays as fill values in ``ma.fill_value``
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* Deprecate ``PyArray_As1D``, ``PyArray_As2D``
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* Deprecate ``np.alen``
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* Deprecate the financial functions
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* The ``axis`` argument to ``numpy.ma.mask_cols`` and ``numpy.ma.mask_row`` is deprecated
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+ Expired deprecations
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* ``PyArray_As1D`` and ``PyArray_As2D`` have been removed in favor of
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``PyArray_AsCArray``
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* ``np.rank`` has been removed. This was deprecated in NumPy 1.10
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and has been replaced by ``np.ndim``.
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* The deprecation of ``expand_dims`` out-of-range axes in 1.13.0 has
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expired.
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* ``PyArray_FromDimsAndDataAndDescr`` and ``PyArray_FromDims`` have been
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removed (they will always raise an error). Use ``PyArray_NewFromDescr``
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and ``PyArray_SimpleNew`` instead.
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* ``numeric.loads``, ``numeric.load``, ``np.ma.dump``,
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``np.ma.dumps``, ``np.ma.load``, ``np.ma.loads`` are removed,
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use ``pickle`` methods instead
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* ``arrayprint.FloatFormat``, ``arrayprint.LongFloatFormat`` has been removed,
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use ``FloatingFormat`` instead
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* ``arrayprint.ComplexFormat``, ``arrayprint.LongComplexFormat`` has been
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removed, use ``ComplexFloatingFormat`` instead
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* ``arrayprint.StructureFormat`` has been removed, use ``StructureVoidFormat``
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instead
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* ``np.testing.rand`` has been removed. This was deprecated in NumPy 1.11
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and has been replaced by ``np.random.rand``.
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* Class ``SafeEval`` in ``numpy/lib/utils.py`` has been removed.
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This was deprecated in NumPy 1.10. Use ``np.safe_eval`` instead.
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* Remove deprecated support for boolean and empty condition lists in
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``np.select``
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* Array order only accepts 'C', 'F', 'A', and 'K'. More permissive options
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were deprecated in NumPy 1.11.
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* np.linspace parameter ``num`` must be an integer. Deprecated in NumPy 1.12.
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* UFuncs with multiple outputs must use a tuple for the ``out`` kwarg. This
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finishes a deprecation started in NumPy 1.10.
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* The files ``numpy/testing/decorators.py``, ``numpy/testing/noseclasses.py``
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and ``numpy/testing/nosetester.py`` have been removed. They were never
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meant to be public (all relevant objects are present in the
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``numpy.testing`` namespace), and importing them has given a deprecation
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warning since NumPy 1.15.0
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+ Compatibility notes
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* `numpy.lib.recfunctions.drop_fields` can no longer return None
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* ``numpy.argmin/argmax/min/max`` returns ``NaT`` if it exists in array
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* ``np.can_cast(np.uint64, np.timedelta64, casting='safe')`` is now ``False``
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* Changed random variate stream from ``numpy.random.Generator.integers``
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* Add more ufunc loops for ``datetime64``, ``timedelta64``
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* Moved modules in ``numpy.random``
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+ C API changes
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* ``PyDataType_ISUNSIZED(descr)`` now returns False for structured datatypes
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+ New Features
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* Add our own ``*.pxd`` cython import file
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* A tuple of axes can now be input to ``expand_dims``
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* Support for 64-bit OpenBLAS
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* Add ``--f2cmap`` option to F2PY
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+ Improvements
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* Different C numeric types of the same size have unique names
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* ``argwhere`` now produces a consistent result on 0d arrays
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* Add ``axis`` argument for ``random.permutation`` and ``random.shuffle``
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* ``method`` keyword argument for ``np.random.multivariate_normal``
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* Add complex number support for ``numpy.fromstring``
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* ``numpy.unique`` has consistent axes order when ``axis`` is not None
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* ``numpy.matmul`` with boolean output now converts to boolean values
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* ``numpy.random.randint`` produced incorrect value when the range was ``2**32``
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* Add complex number support for ``numpy.fromfile``
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* ``std=c99`` added if compiler is named ``gcc``
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+ Changes
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* ``NaT`` now sorts to the end of arrays
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* Incorrect ``threshold`` in ``np.set_printoptions`` raises ``TypeError`` or ``ValueError``
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* Warn when saving a dtype with metadata
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* ``numpy.distutils`` append behavior changed for LDFLAGS and similar
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* Remove ``numpy.random.entropy`` without a deprecation
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* Add options to quiet build configuration and build with ``-Werror``
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-------------------------------------------------------------------
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Sat Nov 16 17:51:25 UTC 2019 - Arun Persaud <arun@gmx.de>
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@ -1,7 +1,7 @@
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#
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# spec file for package python-numpy
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#
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# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
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# Copyright (c) 2020 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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@ -17,7 +17,7 @@
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%global flavor @BUILD_FLAVOR@%{nil}
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%define _ver 1_17_1
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%define _ver 1_18_1
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%define pname python-numpy
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%define hpc_upcase_trans_hyph() %(echo %{**} | tr [a-z] [A-Z] | tr '-' '_')
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%if "%{flavor}" == ""
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@ -70,7 +70,7 @@ ExclusiveArch: do_not_build
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%endif
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%endif
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Name: %{package_name}
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Version: 1.17.4
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Version: 1.18.2
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Release: 0
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Summary: NumPy array processing for numbers, strings, records and objects
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License: BSD-3-Clause
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@ -89,6 +89,7 @@ BuildRequires: %{python_module devel}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module testsuite}
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BuildRequires: python-rpm-macros
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BuildRequires: unzip
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%if 0%{?suse_version}
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@ -112,6 +113,8 @@ BuildRequires: libopenblas%{?hpc_ext}-%{compiler_family}%{?c_f_ver}-hpc-devel
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BuildRequires: lua-lmod
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BuildRequires: suse-hpc
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Requires: libopenblas%{?hpc_ext}-%{compiler_family}%{?c_f_ver}-hpc
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Requires(post): update-alternatives
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Requires(postun): update-alternatives
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%endif
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%python_subpackages
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@ -159,7 +162,8 @@ This package contains files for developing applications using numpy.
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%patch4 -p1
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%endif
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# Fix non-executable scripts
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sed -i '1s/^#!.*$//' numpy/{compat/setup,distutils/{conv_template,cpuinfo,exec_command,from_template,setup,system_info},f2py/{__init__,auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,f2py2e,f90mod_rules,func2subr,rules,setup,use_rules},ma/{setup,bench},matrixlib/setup,setup,testing/{print_coercion_tables,setup}}.py
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sed -i '1s/^#!.*$//' numpy/{compat/setup,random/_examples/cython/setup,distutils/{conv_template,cpuinfo,exec_command,from_template,setup,system_info},f2py/{__init__,auxfuncs,capi_maps,cb_rules,cfuncs,common_rules,crackfortran,diagnose,f2py2e,f90mod_rules,func2subr,rules,setup,use_rules},ma/{setup,bench},matrixlib/setup,setup,testing/{print_coercion_tables,setup}}.py
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sed -i '1s/^#!.*$//' numpy/random/_examples/cython/*.pyx
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# force cythonization
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rm PKG-INFO
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@ -188,15 +192,15 @@ export CFLAGS="%{optflags} -fno-strict-aliasing"
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%python_exec setup.py install --prefix=%{p_prefix} --root=%{buildroot}
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%if !%{with hpc}
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%python_clone -a %{buildroot}%{_bindir}/f2py
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%endif
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%if 0%{?suse_version}
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%fdupes %{buildroot}%{p_prefix}
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%endif
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%if %{without hpc}
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#%%python_expand rm -rf %{buildroot}%{$python_sitearch}/numpy/{,core,distutils,f2py,fft,lib,linalg,ma,matrixlib,oldnumeric,polynomial,random,testing}/tests # Don't package testsuite
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%else
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%if %{with hpc}
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%define hpc_module_pname python${py_ver/.*/}-numpy
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%{python_expand # Don't package testsuite
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@ -237,6 +241,7 @@ setenv %{hpc_upcase_trans_hyph %{pname}}_BIN %{hpc_bindir}
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family "NumPy"
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EOF
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}
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%endif
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%check
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@ -253,13 +258,20 @@ pushd testing
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popd
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%endif
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%if %{without hpc}
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%post
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%python_install_alternative f2py
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%postun
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%python_uninstall_alternative f2py
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%endif
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%files %{python_files}
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%doc README.md THANKS.txt
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%python3_only %{p_bindir}/f2py3*
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%python3_only %{p_bindir}/f2py
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%if %{without hpc}
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%python_alternative %{_bindir}/f2py
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%python3_only %{_bindir}/f2py3*
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%{python_sitearch}/numpy/
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%{python_sitearch}/numpy/LICENSE.txt
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%{python_sitearch}/numpy-%{version}-py*.egg-info
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%license %{python_sitearch}/numpy/LICENSE.txt
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%exclude %{python_sitearch}/numpy/core/include/
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@ -267,8 +279,8 @@ popd
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%exclude %{python_sitearch}/numpy/f2py/src/
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%exclude %{python_sitearch}/numpy/core/lib/libnpymath.a
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%else
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%python3_only %{p_bindir}/f2py*
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%{p_python_sitearch}/numpy/
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%{p_python_sitearch}/numpy/LICENSE.txt
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%{p_python_sitearch}/numpy-%{version}-py*.egg-info
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%license %{p_python_sitearch}/numpy/LICENSE.txt
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%exclude %{p_python_sitearch}/numpy/core/include/
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