python-numpy/python-numpy.spec

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#
# spec file for package python-numpy
#
# Copyright (c) 2024 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/
#
%global flavor @BUILD_FLAVOR@%{nil}
Accepting request 1168946 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.26.4 * NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. * BUG: Restore missing asstr import * MAINT: prepare 1.26.x for further development * BUG: numpy.array_api: fix linalg.cholesky upper decomp... * MAINT, BLD: Fix unused inline functions warnings on clang * TST: Fix test_numeric on riscv64 * MAINT: add newaxis to __all__ in numpy.array_api * BUG: Use large file fallocate on 32 bit linux platforms * TST: Fix test_warning_calls on Python 3.12 * TST: Bump pytz to 2023.3.post1 * BUG: Fix AVX512 build flags on Intel Classic Compiler * BLD: fix potential issue with escape sequences in __config__.py * BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... * MAINT: Include header defining backtrace * BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) - Release 1.26.3 ## Compatibility * f2py will no longer accept ambiguous -m and .pyf CLI combinations. When more than one .pyf file is passed, an error is raised. When both -m and a .pyf is passed, a warning is emitted and the -m provided name is ignored. ## Improvements * f2py now handles common blocks which have kind specifications from modules. This further expands the usability of intrinsics like iso_fortran_env and iso_c_binding. ## Pull requests merged * MAINT: prepare 1.26.x for further development * TYP: add None to __getitem__ in numpy.array_api * BLD,BUG: quadmath required where available [f2py] * BUG: alpha doesn't use REAL(10) * BUG: Fix FP overflow error in division when the divisor is scalar * MAINT: Pin scipy-openblas version. * BUG: Fix f2py to enable use of string optional inout argument * BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src * TST: Explicitly pass NumPy path to cython during tests (also... * BUG: fix issues with newaxis and linalg.solve in numpy.array_api * BUG: Disallow shadowed modulenames * BUG: Handle common blocks with kind specifications from modules * BUG: Fix moving compiled executable to root with f2py -c on Windows * BUG: Fix single to half-precision conversion on PPC64/VSX3 * TST: f2py: fix issue in test skip condition * Revert "MAINT: Pin scipy-openblas version." * MAINT: do not use long type * TST: PyPy needs another gc.collect on latest versions * MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 * BLD: update vendored Meson for AIX shared library fix * MAINT: Init base in cpu_avx512_kn * BUG: Fix failing test_features on SapphireRapids * BUG: Fix non-contiguous memory load when ARM/Neon is enabled * MAINT,BUG: Never import distutils above 3.12 [f2py] * MAINT: make the import-time check for old Accelerate more specific * MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action * BUG: avoid seg fault from OOB access in RandomState.set_state() * BUG: Fix two errors related to not checking for failed allocations * BUG: Fix regression with f2py wrappers when modules and subroutines... * BUG: Fix build issues on SPR * BLD: fix uninitialized variable warnings from simd/neon/memory.h * BUG: Handle iso_c_type mappings more consistently * BUG: Fix module name bug in signature files [urgent] [f2py] * BUG: Handle .pyf.src and fix SciPy [urgent] * DOC: f2py rewrite with meson details * BUG: Add external library handling for meson [f2py] * MAINT: Run f2py's meson backend with the same python that ran... * MAINT: Update numpy/f2py/_backends from main. * MAINT: Easy updates of f2py/*.py from main. * MAINT: Update crackfortran.py and f2py2e.py from main OBS-URL: https://build.opensuse.org/request/show/1168946 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
2024-04-19 10:55:47 +02:00
%define ver 1.26.4
%define _ver 1_26_4
%define pname python-numpy
%define plainpython python
%define hpc_upcase_trans_hyph() %(echo %{**} | tr [a-z] [A-Z] | tr '-' '_')
%if "%{flavor}" == ""
%bcond_with hpc
%bcond_with openblas
%endif
%if "%{flavor}" == "gnu-hpc"
%bcond_without hpc
Accepting request 426983 from devel:languages:python - use pypi.io as Source URL - Don't include cblas-devel on SLES 12 - update to 1.11.1: - #7506 BUG: Make sure numpy imports on python 2.6 when nose is unavailable. - #7530 BUG: Floating exception with invalid axis in np.lexsort. - #7535 BUG: Extend glibc complex trig functions blacklist to glibc < 2.18. - #7551 BUG: Allow graceful recovery for no compiler. - #7558 BUG: Constant padding expected wrong type in constant_values. - #7578 BUG: Fix OverflowError in Python 3.x. in swig interface. - #7590 BLD: Fix configparser.InterpolationSyntaxError. - #7597 BUG: Make np.ma.take work on scalars. - #7608 BUG: linalg.norm(): Don't convert object arrays to float. - #7638 BLD: Correct C compiler customization in system_info.py. - #7654 BUG: ma.median of 1d array should return a scalar. - #7656 BLD: Remove hardcoded Intel compiler flag -xSSE4.2. - #7660 BUG: Temporary fix for str(mvoid) for object field types. - #7665 BUG: Fix incorrect printing of 1D masked arrays. - #7670 BUG: Correct initial index estimate in histogram. - #7671 BUG: Boolean assignment no GIL release when transfer needs API. - #7676 BUG: Fix handling of right edge of final histogram bin. - #7680 BUG: Fix np.clip bug NaN handling for Visual Studio 2015. - #7724 BUG: Fix segfaults in np.random.shuffle. - #7731 MAINT: Change mkl_info.dir_env_var from MKL to MKLROOT. OBS-URL: https://build.opensuse.org/request/show/426983 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=50
2016-09-17 14:34:03 +02:00
%endif
%if "%{flavor}" == "gnu7-hpc"
%define c_f_ver 7
%bcond_without hpc
%endif
%if %{with hpc}
%bcond_without openblas
%endif
%if 0%{?sle_version} == 120300
%{?with_openblas:ExclusiveArch: do_not_build}
%endif
%{?with_hpc:%{hpc_requires}}
#
%if 0%{?suse_version} > 1500
%bcond_without libalternatives
%bcond_without cblas
%else
%bcond_with libalternatives
%bcond_with cblas
%endif
#
%bcond_with ringdisabled
#
%if %{without hpc}
%define package_name %{pname}
%define p_python_sitearch %{python_sitearch}
%define p_prefix %{_prefix}
%define p_bindir %{_bindir}
%else
%{!?compiler_family:%global compiler_family gnu}
%{hpc_init -c %{compiler_family} %{?c_f_ver:-v %{c_f_ver}} %{?mpi_ver:-V %{mpi_ver}}}
%define package_name %{hpc_package_name %{_ver}}
%define p_python_sitearch %{hpc_python_sitearch}
%define p_prefix %{hpc_prefix}
%define p_bindir %{hpc_bindir}
# Magic for OBS Staging. Only build the flavors required by
# other packages in the ring.
%if %{with ringdisabled}
ExclusiveArch: do_not_build
%endif
%endif
%{?sle15_python_module_pythons}
Name: %{package_name}
# set %%ver and %%_ver instead above
Version: %{ver}
Release: 0
Summary: NumPy array processing for numbers, strings, records and objects
License: BSD-3-Clause
URL: http://www.numpy.org/
Source: https://files.pythonhosted.org/packages/source/n/numpy/numpy-%{version}.tar.gz
Source99: python-numpy-rpmlintrc
# PATCH-FIX-OPENSUSE numpy-buildfix.patch -- openSUSE-specific build fixes
Patch0: numpy-buildfix.patch
# PATCH-FIX-OPENSUSE numpy-1.9.0-remove-__declspec.patch -- fix for spurious compiler warnings that cause build failure
Patch1: numpy-1.9.0-remove-__declspec.patch
# PATCH-FIX-UPSTREAM https://github.com/numpy/numpy/pull/26151
Patch2: 0001-BUG-Fix-test_impossible_feature_enable-failing-witho.patch
# PATCH-FIX-UPSTREAM https://github.com/numpy/meson/pull/12
Patch3: 0001-feature-module-Fix-handling-of-multiple-conflicts-pe.patch
# PATCH-FIX-UPSTREAM Based on gh#numpy/numpy#25839
Patch4: fix-meson-multiple-python-versions.patch
- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
BuildRequires: %{python_module Cython >= 3.0}
BuildRequires: %{python_module base >= 3.9}
BuildRequires: %{python_module devel}
Accepting request 1168946 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.26.4 * NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. * BUG: Restore missing asstr import * MAINT: prepare 1.26.x for further development * BUG: numpy.array_api: fix linalg.cholesky upper decomp... * MAINT, BLD: Fix unused inline functions warnings on clang * TST: Fix test_numeric on riscv64 * MAINT: add newaxis to __all__ in numpy.array_api * BUG: Use large file fallocate on 32 bit linux platforms * TST: Fix test_warning_calls on Python 3.12 * TST: Bump pytz to 2023.3.post1 * BUG: Fix AVX512 build flags on Intel Classic Compiler * BLD: fix potential issue with escape sequences in __config__.py * BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... * MAINT: Include header defining backtrace * BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) - Release 1.26.3 ## Compatibility * f2py will no longer accept ambiguous -m and .pyf CLI combinations. When more than one .pyf file is passed, an error is raised. When both -m and a .pyf is passed, a warning is emitted and the -m provided name is ignored. ## Improvements * f2py now handles common blocks which have kind specifications from modules. This further expands the usability of intrinsics like iso_fortran_env and iso_c_binding. ## Pull requests merged * MAINT: prepare 1.26.x for further development * TYP: add None to __getitem__ in numpy.array_api * BLD,BUG: quadmath required where available [f2py] * BUG: alpha doesn't use REAL(10) * BUG: Fix FP overflow error in division when the divisor is scalar * MAINT: Pin scipy-openblas version. * BUG: Fix f2py to enable use of string optional inout argument * BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src * TST: Explicitly pass NumPy path to cython during tests (also... * BUG: fix issues with newaxis and linalg.solve in numpy.array_api * BUG: Disallow shadowed modulenames * BUG: Handle common blocks with kind specifications from modules * BUG: Fix moving compiled executable to root with f2py -c on Windows * BUG: Fix single to half-precision conversion on PPC64/VSX3 * TST: f2py: fix issue in test skip condition * Revert "MAINT: Pin scipy-openblas version." * MAINT: do not use long type * TST: PyPy needs another gc.collect on latest versions * MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 * BLD: update vendored Meson for AIX shared library fix * MAINT: Init base in cpu_avx512_kn * BUG: Fix failing test_features on SapphireRapids * BUG: Fix non-contiguous memory load when ARM/Neon is enabled * MAINT,BUG: Never import distutils above 3.12 [f2py] * MAINT: make the import-time check for old Accelerate more specific * MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action * BUG: avoid seg fault from OOB access in RandomState.set_state() * BUG: Fix two errors related to not checking for failed allocations * BUG: Fix regression with f2py wrappers when modules and subroutines... * BUG: Fix build issues on SPR * BLD: fix uninitialized variable warnings from simd/neon/memory.h * BUG: Handle iso_c_type mappings more consistently * BUG: Fix module name bug in signature files [urgent] [f2py] * BUG: Handle .pyf.src and fix SciPy [urgent] * DOC: f2py rewrite with meson details * BUG: Add external library handling for meson [f2py] * MAINT: Run f2py's meson backend with the same python that ran... * MAINT: Update numpy/f2py/_backends from main. * MAINT: Easy updates of f2py/*.py from main. * MAINT: Update crackfortran.py and f2py2e.py from main OBS-URL: https://build.opensuse.org/request/show/1168946 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
2024-04-19 10:55:47 +02:00
BuildRequires: %{python_module meson-python >= 0.15 with %python-meson-python < 0.16}
BuildRequires: %{python_module pip}
- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
BuildRequires: %{python_module pyproject-metadata >= 0.7.1}
BuildRequires: cmake
%if 0%{?suse_version} <= 1600
BuildRequires: gcc12
BuildRequires: gcc12-c++
%else
- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
BuildRequires: gcc
BuildRequires: gcc-c++
%endif
- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
BuildRequires: ninja >= 1.8.2
BuildRequires: patchelf
BuildRequires: python-rpm-macros >= 20210929
BuildConflicts: gcc11 < 11.2
%if 0%{?suse_version}
BuildRequires: fdupes
%endif
# SECTION test requirements
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BuildRequires: %{python_module pytest >= 7.4.0}
BuildRequires: %{python_module hypothesis >= 6.75.0}
BuildRequires: %{python_module pytest-xdist}
BuildRequires: %{python_module testsuite}
BuildRequires: %{python_module typing-extensions >= 4.2.0}
# /SECTION
%if %{without hpc}
# Last version which packaged %%{_bindir}/f2py without update-alternatives
Conflicts: %{plainpython}-numpy <= 1.12.0
%if 0%{?suse_version}
BuildRequires: gcc-fortran
%else
BuildRequires: gcc-gfortran
%endif
%if %{with openblas}
BuildRequires: openblas-devel > 0.3.20
%else
BuildRequires: blas-devel
BuildRequires: lapack-devel
%if %{with cblas}
# openblas has significantly better performance for some operations
BuildRequires: cblas-devel
Recommends: libopenblas_pthreads0
%endif
%endif
%if %{with libalternatives}
BuildRequires: alts
Requires: alts
%else
Requires(post): update-alternatives
Requires(postun): update-alternatives
%endif
%else
BuildRequires: %{compiler_family}%{?c_f_ver}-compilers-hpc-macros-devel
BuildRequires: libopenblas%{?hpc_ext}-%{compiler_family}%{?c_f_ver}-hpc-devel
2023-08-14 13:44:27 +02:00
%ifnarch %ix86 %arm
BuildRequires: lua-lmod
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%endif
BuildRequires: suse-hpc
Requires: libopenblas%{?hpc_ext}-%{compiler_family}%{?c_f_ver}-hpc
%endif
%python_subpackages
%description
NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type which also makes NumPy suitable for
interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.
%{?with_hpc:%{hpc_python_master_package -L -a }}
%package devel
Summary: Development files for numpy applications
Requires: %{name} = %{version}
Requires: python-devel
Requires: %plainpython(abi) = %{python_version}
%if %{without hpc}
%if %{with openblas}
Requires: openblas-devel
%else
Requires: blas-devel
%if %{with cblas}
Requires: cblas-devel
%endif
Requires: lapack-devel
%endif
%else
Requires: libopenblas%{?hpc_ext}-%{compiler_family}%{?c_f_ver}-hpc-devel
%{hpc_requires_devel}
%endif
%description devel
This package contains files for developing applications using numpy.
%{?with_hpc:%{hpc_python_master_package devel -a }}
%prep
%autosetup -p1 -n numpy-%{version}
# Fix non-executable scripts
Accepting request 1168946 from home:bnavigator:branches:devel:languages:python:numeric - Update to 1.26.4 * NumPy 1.26.4 is a maintenance release that fixes bugs and regressions discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. * BUG: Restore missing asstr import * MAINT: prepare 1.26.x for further development * BUG: numpy.array_api: fix linalg.cholesky upper decomp... * MAINT, BLD: Fix unused inline functions warnings on clang * TST: Fix test_numeric on riscv64 * MAINT: add newaxis to __all__ in numpy.array_api * BUG: Use large file fallocate on 32 bit linux platforms * TST: Fix test_warning_calls on Python 3.12 * TST: Bump pytz to 2023.3.post1 * BUG: Fix AVX512 build flags on Intel Classic Compiler * BLD: fix potential issue with escape sequences in __config__.py * BLD: unvendor meson-python on 1.26.x and upgrade to meson-python... * MAINT: Include header defining backtrace * BUG: Fix np.quantile([Fraction(2,1)], 0.5) (#24711) - Release 1.26.3 ## Compatibility * f2py will no longer accept ambiguous -m and .pyf CLI combinations. When more than one .pyf file is passed, an error is raised. When both -m and a .pyf is passed, a warning is emitted and the -m provided name is ignored. ## Improvements * f2py now handles common blocks which have kind specifications from modules. This further expands the usability of intrinsics like iso_fortran_env and iso_c_binding. ## Pull requests merged * MAINT: prepare 1.26.x for further development * TYP: add None to __getitem__ in numpy.array_api * BLD,BUG: quadmath required where available [f2py] * BUG: alpha doesn't use REAL(10) * BUG: Fix FP overflow error in division when the divisor is scalar * MAINT: Pin scipy-openblas version. * BUG: Fix f2py to enable use of string optional inout argument * BUG: Fix -fsanitize=alignment issue in numpy/_core/src/multiarray/arraytypes.c.src * TST: Explicitly pass NumPy path to cython during tests (also... * BUG: fix issues with newaxis and linalg.solve in numpy.array_api * BUG: Disallow shadowed modulenames * BUG: Handle common blocks with kind specifications from modules * BUG: Fix moving compiled executable to root with f2py -c on Windows * BUG: Fix single to half-precision conversion on PPC64/VSX3 * TST: f2py: fix issue in test skip condition * Revert "MAINT: Pin scipy-openblas version." * MAINT: do not use long type * TST: PyPy needs another gc.collect on latest versions * MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 * BLD: update vendored Meson for AIX shared library fix * MAINT: Init base in cpu_avx512_kn * BUG: Fix failing test_features on SapphireRapids * BUG: Fix non-contiguous memory load when ARM/Neon is enabled * MAINT,BUG: Never import distutils above 3.12 [f2py] * MAINT: make the import-time check for old Accelerate more specific * MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action * BUG: avoid seg fault from OOB access in RandomState.set_state() * BUG: Fix two errors related to not checking for failed allocations * BUG: Fix regression with f2py wrappers when modules and subroutines... * BUG: Fix build issues on SPR * BLD: fix uninitialized variable warnings from simd/neon/memory.h * BUG: Handle iso_c_type mappings more consistently * BUG: Fix module name bug in signature files [urgent] [f2py] * BUG: Handle .pyf.src and fix SciPy [urgent] * DOC: f2py rewrite with meson details * BUG: Add external library handling for meson [f2py] * MAINT: Run f2py's meson backend with the same python that ran... * MAINT: Update numpy/f2py/_backends from main. * MAINT: Easy updates of f2py/*.py from main. * MAINT: Update crackfortran.py and f2py2e.py from main OBS-URL: https://build.opensuse.org/request/show/1168946 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=155
2024-04-19 10:55:47 +02:00
sed -i '1{/^#!/d}'\
numpy/{distutils,f2py,ma,matrixlib,testing}/setup.py \
numpy/distutils/{conv_template,cpuinfo,from_template,system_info}.py \
numpy/f2py/{__init__,cfuncs,diagnose,crackfortran,f2py2e,rules}.py \
numpy/random/_examples/cython/extending{,_distributions}.pyx \
numpy/testing/print_coercion_tables.py
chmod -x \
numpy/f2py/{crackfortran,f2py2e,rules}.py \
numpy/testing/{print_coercion_tables,setup}.py
# force cythonization
rm -f PKG-INFO
%build
%define _lto_cflags %{nil}
%if %{with hpc}
%hpc_setup
module load openblas
export CFLAGS="$(pkg-config --cflags openblas) %{optflags} -fno-strict-aliasing" LIBS="$(pkg-config --libs openblas)"
cat > site.cfg <<EOF
[openblas]
libraries = openblas
library_dirs = $OPENBLAS_LIB
include_dirs = $OPENBLAS_INC
EOF
%else
export CFLAGS="%{optflags} -fno-strict-aliasing"
%endif
%if 0%{?suse_version} <= 1600
export CC=gcc-12
export CXX=g++-12
%endif
%pyproject_wheel
%install
%{?with_hpc:%hpc_setup}
%{?with_hpc:module load openblas}
%pyproject_install --prefix %{p_prefix} --root %{buildroot}
%if !%{with hpc}
%python_clone -a %{buildroot}%{_bindir}/f2py
%endif
%if 0%{?suse_version}
%fdupes %{buildroot}%{p_prefix}
%endif
Accepting request 761226 from home:TheBlackCat:branches:devel:languages:python:numeric - 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 * ``np.fromfile`` and ``np.fromstring`` will error on bad data * Deprecate non-scalar arrays as fill values in ``ma.fill_value`` * Deprecate ``PyArray_As1D``, ``PyArray_As2D`` * Deprecate ``np.alen`` * Deprecate the financial functions * The ``axis`` argument to ``numpy.ma.mask_cols`` and ``numpy.ma.mask_row`` is deprecated + Expired deprecations * ``PyArray_As1D`` and ``PyArray_As2D`` have been removed in favor of ``PyArray_AsCArray`` * ``np.rank`` has been removed. This was deprecated in NumPy 1.10 and has been replaced by ``np.ndim``. * The deprecation of ``expand_dims`` out-of-range axes in 1.13.0 has expired. * ``PyArray_FromDimsAndDataAndDescr`` and ``PyArray_FromDims`` have been removed (they will always raise an error). Use ``PyArray_NewFromDescr`` and ``PyArray_SimpleNew`` instead. * ``numeric.loads``, ``numeric.load``, ``np.ma.dump``, ``np.ma.dumps``, ``np.ma.load``, ``np.ma.loads`` are removed, use ``pickle`` methods instead * ``arrayprint.FloatFormat``, ``arrayprint.LongFloatFormat`` has been removed, use ``FloatingFormat`` instead * ``arrayprint.ComplexFormat``, ``arrayprint.LongComplexFormat`` has been removed, use ``ComplexFloatingFormat`` instead * ``arrayprint.StructureFormat`` has been removed, use ``StructureVoidFormat`` instead * ``np.testing.rand`` has been removed. This was deprecated in NumPy 1.11 and has been replaced by ``np.random.rand``. * Class ``SafeEval`` in ``numpy/lib/utils.py`` has been removed. This was deprecated in NumPy 1.10. Use ``np.safe_eval`` instead. * Remove deprecated support for boolean and empty condition lists in ``np.select`` * Array order only accepts 'C', 'F', 'A', and 'K'. More permissive options were deprecated in NumPy 1.11. * np.linspace parameter ``num`` must be an integer. Deprecated in NumPy 1.12. * UFuncs with multiple outputs must use a tuple for the ``out`` kwarg. This finishes a deprecation started in NumPy 1.10. * The files ``numpy/testing/decorators.py``, ``numpy/testing/noseclasses.py`` and ``numpy/testing/nosetester.py`` have been removed. They were never meant to be public (all relevant objects are present in the ``numpy.testing`` namespace), and importing them has given a deprecation warning since NumPy 1.15.0 + Compatibility notes * `numpy.lib.recfunctions.drop_fields` can no longer return None * ``numpy.argmin/argmax/min/max`` returns ``NaT`` if it exists in array * ``np.can_cast(np.uint64, np.timedelta64, casting='safe')`` is now ``False`` * Changed random variate stream from ``numpy.random.Generator.integers`` * Add more ufunc loops for ``datetime64``, ``timedelta64`` * Moved modules in ``numpy.random`` + C API changes * ``PyDataType_ISUNSIZED(descr)`` now returns False for structured datatypes + New Features * Add our own ``*.pxd`` cython import file * A tuple of axes can now be input to ``expand_dims`` * Support for 64-bit OpenBLAS * Add ``--f2cmap`` option to F2PY + Improvements * Different C numeric types of the same size have unique names * ``argwhere`` now produces a consistent result on 0d arrays * Add ``axis`` argument for ``random.permutation`` and ``random.shuffle`` * ``method`` keyword argument for ``np.random.multivariate_normal`` * Add complex number support for ``numpy.fromstring`` * ``numpy.unique`` has consistent axes order when ``axis`` is not None * ``numpy.matmul`` with boolean output now converts to boolean values * ``numpy.random.randint`` produced incorrect value when the range was ``2**32`` * Add complex number support for ``numpy.fromfile`` * ``std=c99`` added if compiler is named ``gcc`` + Changes * ``NaT`` now sorts to the end of arrays * Incorrect ``threshold`` in ``np.set_printoptions`` raises ``TypeError`` or ``ValueError`` * Warn when saving a dtype with metadata * ``numpy.distutils`` append behavior changed for LDFLAGS and similar * Remove ``numpy.random.entropy`` without a deprecation * Add options to quiet build configuration and build with ``-Werror`` OBS-URL: https://build.opensuse.org/request/show/761226 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=47
2020-01-07 07:39:50 +01:00
%if %{with hpc}
%define hpc_module_pname ${python_flavor}-numpy
%{python_expand # Don't package testsuite
python_flavor=`cat _current_flavor`
sitesearch_path=`$python -c "import sysconfig as s; print(s.get_paths(vars={'platbase':'%{hpc_prefix}','base':'%{hpc_prefix}'}).get('platlib'))"`
rm -rf %{buildroot}${sitesearch_path}/numpy/{,core,distutils,f2py,fft,lib,linalg,ma,matrixlib,oldnumeric,polynomial,random,testing}/tests
%hpc_write_modules_files
#%%Module1.0#####################################################################
proc ModulesHelp { } {
puts stderr " "
puts stderr "This module loads the %{pname} library built with the %{compiler_family} compiler"
puts stderr "toolchain."
puts stderr "\nVersion %{version}\n"
}
module-whatis "Name: %{pname} built with %{compiler_family} compiler"
module-whatis "Version: %{version}"
module-whatis "Category: python module"
module-whatis "Description: %{SUMMARY:0}"
module-whatis "URL %{url}"
set version %{version}
if [ expr [ module-info mode load ] || [module-info mode display ] ] {
if { ![is-loaded intel] && ![is-loaded openblas] } {
module load openblas
}
}
prepend-path PATH %{hpc_bindir}
prepend-path PYTHONPATH ${sitesearch_path}
setenv %{hpc_upcase_trans_hyph %{pname}}_DIR %{hpc_prefix}
setenv %{hpc_upcase_trans_hyph %{pname}}_BIN %{hpc_bindir}
family "NumPy"
EOF
}
Accepting request 761226 from home:TheBlackCat:branches:devel:languages:python:numeric - 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 * ``np.fromfile`` and ``np.fromstring`` will error on bad data * Deprecate non-scalar arrays as fill values in ``ma.fill_value`` * Deprecate ``PyArray_As1D``, ``PyArray_As2D`` * Deprecate ``np.alen`` * Deprecate the financial functions * The ``axis`` argument to ``numpy.ma.mask_cols`` and ``numpy.ma.mask_row`` is deprecated + Expired deprecations * ``PyArray_As1D`` and ``PyArray_As2D`` have been removed in favor of ``PyArray_AsCArray`` * ``np.rank`` has been removed. This was deprecated in NumPy 1.10 and has been replaced by ``np.ndim``. * The deprecation of ``expand_dims`` out-of-range axes in 1.13.0 has expired. * ``PyArray_FromDimsAndDataAndDescr`` and ``PyArray_FromDims`` have been removed (they will always raise an error). Use ``PyArray_NewFromDescr`` and ``PyArray_SimpleNew`` instead. * ``numeric.loads``, ``numeric.load``, ``np.ma.dump``, ``np.ma.dumps``, ``np.ma.load``, ``np.ma.loads`` are removed, use ``pickle`` methods instead * ``arrayprint.FloatFormat``, ``arrayprint.LongFloatFormat`` has been removed, use ``FloatingFormat`` instead * ``arrayprint.ComplexFormat``, ``arrayprint.LongComplexFormat`` has been removed, use ``ComplexFloatingFormat`` instead * ``arrayprint.StructureFormat`` has been removed, use ``StructureVoidFormat`` instead * ``np.testing.rand`` has been removed. This was deprecated in NumPy 1.11 and has been replaced by ``np.random.rand``. * Class ``SafeEval`` in ``numpy/lib/utils.py`` has been removed. This was deprecated in NumPy 1.10. Use ``np.safe_eval`` instead. * Remove deprecated support for boolean and empty condition lists in ``np.select`` * Array order only accepts 'C', 'F', 'A', and 'K'. More permissive options were deprecated in NumPy 1.11. * np.linspace parameter ``num`` must be an integer. Deprecated in NumPy 1.12. * UFuncs with multiple outputs must use a tuple for the ``out`` kwarg. This finishes a deprecation started in NumPy 1.10. * The files ``numpy/testing/decorators.py``, ``numpy/testing/noseclasses.py`` and ``numpy/testing/nosetester.py`` have been removed. They were never meant to be public (all relevant objects are present in the ``numpy.testing`` namespace), and importing them has given a deprecation warning since NumPy 1.15.0 + Compatibility notes * `numpy.lib.recfunctions.drop_fields` can no longer return None * ``numpy.argmin/argmax/min/max`` returns ``NaT`` if it exists in array * ``np.can_cast(np.uint64, np.timedelta64, casting='safe')`` is now ``False`` * Changed random variate stream from ``numpy.random.Generator.integers`` * Add more ufunc loops for ``datetime64``, ``timedelta64`` * Moved modules in ``numpy.random`` + C API changes * ``PyDataType_ISUNSIZED(descr)`` now returns False for structured datatypes + New Features * Add our own ``*.pxd`` cython import file * A tuple of axes can now be input to ``expand_dims`` * Support for 64-bit OpenBLAS * Add ``--f2cmap`` option to F2PY + Improvements * Different C numeric types of the same size have unique names * ``argwhere`` now produces a consistent result on 0d arrays * Add ``axis`` argument for ``random.permutation`` and ``random.shuffle`` * ``method`` keyword argument for ``np.random.multivariate_normal`` * Add complex number support for ``numpy.fromstring`` * ``numpy.unique`` has consistent axes order when ``axis`` is not None * ``numpy.matmul`` with boolean output now converts to boolean values * ``numpy.random.randint`` produced incorrect value when the range was ``2**32`` * Add complex number support for ``numpy.fromfile`` * ``std=c99`` added if compiler is named ``gcc`` + Changes * ``NaT`` now sorts to the end of arrays * Incorrect ``threshold`` in ``np.set_printoptions`` raises ``TypeError`` or ``ValueError`` * Warn when saving a dtype with metadata * ``numpy.distutils`` append behavior changed for LDFLAGS and similar * Remove ``numpy.random.entropy`` without a deprecation * Add options to quiet build configuration and build with ``-Werror`` OBS-URL: https://build.opensuse.org/request/show/761226 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=47
2020-01-07 07:39:50 +01:00
%endif
%check
# https://numpy.org/doc/stable/dev/development_environment.html#running-tests
%if %{without hpc}
export PATH="%{buildroot}%{_bindir}:$PATH"
mkdir -p testing
cp pytest.ini testing/
pushd testing
# flaky tests
test_failok+=" or test_structured_object_indexing"
test_failok+=" or test_structured_object_item_setting"
# flaky due to memory consumption
test_failok+=" or test_big_arrays"
# gh#numpy/numpy#22825
test_failok+=" or TestPrintOptions"
# gh#numpy/numpy#22835
test_failok+=" or test_keepdims_out"
# boo#1148173 gh#numpy/numpy#14438
%ifarch ppc64 ppc64le
test_failok+=" or test_generalized_sq"
# situation with IBM and double numbers is ... complicated
# gh#numpy/numpy#21094
test_failok+=" or test_ppc64_ibm_double_double128"
%endif
Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
# these tests fail on big endian gh#numpy/numpy#11831
%ifarch s390x ppc ppc64
test_failok+=" or TestFReturnCharacter"
Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
%endif
# missing instruction set
%ifarch s390x
test_failok+=" or test_truncate_f32"
%endif
%ifarch %{ix86}
Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
# (arm 32-bit seems okay here)
# gh#numpy/numpy#18387
Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
test_failok+=" or test_pareto"
# gh#numpy/numpy#18388
test_failok+=" or test_float_remainder_overflow"
%endif
%ifarch %{ix86} %{arm32}
# too much memory for 32bit
test_failok+=" or test_identityless_reduction_huge_array"
test_failok+=" or test_huge_vectordot"
# invalid int type for 32bit
2023-08-14 13:44:27 +02:00
test_failok+=" or (test_kind and test_quad_precision)"
test_failok+=" or (test_kind and test_int)"
test_failok+=" or (test_kind and test_real)"
test_failok+=" or (test_multinomial_pvals_float32)"
2023-08-14 13:44:27 +02:00
%endif
%ifarch %{arm}
# https://github.com/numpy/numpy/issues/24001
test_failok+=" or (test_cpu_features and test_features)"
test_failok+=" or (test_umath and test_unary_spurious_fpexception)"
%endif
%ifarch riscv64
# These tests fail due to non-portable assumptions about the signbit of NaN
# gh#numpy/numpy#8213
test_failok+=" or (test_umath and test_fpclass)"
test_failok+=" or (test_numeric and TestBoolCmp and test_float)"
test_failok+=" or (test_umath and test_fp_noncontiguous)"
%endif
echo "
import sys
import numpy
r = numpy.test(label='full', verbose=2,
extra_argv=['-v', '-n', 'auto', '-k'] + sys.argv[1:])
sys.exit(0 if r else 1)
" > runobstest.py
%{python_expand # for all python3 flavors
export PYTHONPATH=%{buildroot}%{$python_sitearch}
export PYTHONDONTWRITEBYTECODE=1
[ -n "$test_failok" ] && $python runobstest.py "${test_failok:4}" ||:
# test_new_policy: duplicates test runs and output and does not follow our deselection
$python runobstest.py "not (test_new_policy ${test_failok} or slow)"
}
popd
%endif
%if %{without hpc}
%pre
# If libalternatives is used: Removing old update-alternatives entries.
%python_libalternatives_reset_alternative f2py
%post
%python_install_alternative f2py
%postun
%python_uninstall_alternative f2py
%endif
%files %{python_files}
%doc README.md THANKS.txt
- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
%license LICENSE.txt
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- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
%{python_sitearch}/numpy-%{version}.dist-info
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Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
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- Update to 1.26.2: * TYP: Trim down the ``_NestedSequence.__getitem__`` signature * BUG: fix choose refcount leak * TST: fix running the test suite in builds without BLAS/LAPACK * BUG: random: Fix generation of nan by dirichlet. * TST: fix distutils tests for deprecations in recent setuptools... * MAINT: Remove versioneer * MAINT: Pin upper version of sphinx. * ENH: Add prefix to _ALIGN Macro * BUG: cleanup warnings [skip azp][skip circle][skip travis][skip... * BUG: ``asv dev`` has been removed, use ``asv run``. * BUG: Fix meson build failure due to unchanged inplace auto-generated... * BUG: fix issue with git-version script, needs a shebang to run * BUG: Use a default assignment for git_hash [skip ci] * BUG: fix NPY_cast_info error handling in choose * BUG: Fix common block handling in f2py * BUG: Fix assumed length f2py regression * MAINT: Harmonize fortranobject * TYP: add kind argument to numpy.isin type specification * BUG: fix comparisons between masked and unmasked structured arrays * ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... * TYP: Add the missing ``casting`` keyword to ``np.clip`` * TST: convert cython test from setup.py to meson * MAINT: Fixup ``fromnumeric.pyi`` * BUG, ENH: Fix ``iso_c_binding`` type maps * TYP: Allow ``binary_repr`` to accept any object * TYP: Explicitly declare ``dtype`` and ``generic`` hashable * ENH: Refactor the typing "reveal" tests using `typing.assert_type` * ENH: ``meson`` backend for ``f2py`` * MAINT: Refactor partial load Workaround for Clang OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=143
2023-11-20 06:10:29 +01:00
%{p_python_sitearch}/numpy-%{version}.dist-info
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Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
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Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
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Accepting request 870967 from home:bnavigator:branches:dlpn_numpy - Update to version 1.20.1 * The distutils bug that caused problems with downstream projects is fixed. * The random.shuffle regression is fixed. - Higlights for 1.20.0: * Annotations for NumPy functions. This work is ongoing and improvements can be expected pending feedback from users. * Wider use of SIMD to increase execution speed of ufuncs. Much work has been done in introducing universal functions that will ease use of modern features across different hardware platforms. This work is ongoing. * Preliminary work in changing the dtype and casting implementations in order to provide an easier path to extending dtypes. This work is ongoing but enough has been done to allow experimentation and feedback. * Extensive documentation improvements comprising some 185 PR merges. This work is ongoing and part of the larger project to improve NumPy’s online presence and usefulness to new users. * Further cleanups related to removing Python 2.7. This improves code readability and removes technical debt. * Preliminary support for the upcoming Cython 3.0. - Full release notes at https://numpy.org/doc/stable/release/1.20.0-notes.html - Now requires Python >= 3.7 (NEP 29) * Drop fix-py34-tests.patch * Skip python36 build - Drop s390x.patch -- The patch was applied for all big endian architectures. Mark those tests appropriately in the check section instead. gh#numpy/numpy#11831 - Skip two tests on ix86: gh#numpy/numpy#18387 gh#numpy/numpy#18388 OBS-URL: https://build.opensuse.org/request/show/870967 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=84
2021-02-10 22:14:05 +01:00
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