Dirk Mueller
0d9dfc143d
* Python 3.12 support
* minimum supported version to 3.9
* Add support for ufunc attributes and reduce
* Add a config variable to enable / disable the llvmlite memory
manager
* see https://numba.readthedocs.io/en/stable/release/0.59.0-notes.html#highlights
* fix regressions with 0.57.0
+ Support is added for the dict(iterable) constructor.
- Clean up leftover Python 3.8 gubbins, look forward to Python 3.11 support.
This release focuses on performance improvements, but also adds
some new features and contains numerous bug fixes and stability
* Intel kindly sponsored research and development into producing
a new reference count pruning pass. This pass operates at the
LLVM level and can prune a number of common reference counting
patterns. This will improve performance for two primary
- There will be less pressure on the atomic locks used to do
- Removal of reference counting operations permits more
inlining and the optimisation passes can in general do more
* Intel also sponsored work to improve the performance of the
numba.typed.List container, particularly in the case of
* Superword-level parallelism vectorization is now switched on
and the optimisation pipeline has been lightly analysed and
tuned so as to be able to vectorize more and more often
* The inspect_cfg method on the JIT dispatcher object has been
significantly enhanced and now includes highlighted output and
* The BSD operating system is now unofficially supported (Stuart
* Numerous features/functionality improvements to NumPy support,
- the ndarray allocators, empty, ones and zeros, accepting a
* Cudasim support for mapped array, memcopies and memset has
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=77
190 lines
6.2 KiB
RPMSpec
190 lines
6.2 KiB
RPMSpec
#
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# spec file for package python-numba
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#
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# Copyright (c) 2024 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%define plainpython python
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# upper bound is exclusive: min-numpy_ver <= numpy < max_numpy_ver
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%define min_numpy_ver 1.22
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%define max_numpy_ver 1.27
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == ""
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%define psuffix %{nil}
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%bcond_with test
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%endif
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%if "%{flavor}" == "test-py39"
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%define psuffix -test-py39
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%define skip_python310 1
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%define skip_python311 1
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%define skip_python312 1
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%bcond_without test
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%endif
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%if "%{flavor}" == "test-py310"
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%define psuffix -test-py310
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%define skip_python39 1
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%define skip_python311 1
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%define skip_python312 1
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%bcond_without test
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%endif
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%if "%{flavor}" == "test-py311"
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%define psuffix -test-py311
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%define skip_python39 1
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%define skip_python310 1
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%define skip_python312 1
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%bcond_without test
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%endif
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%if "%{flavor}" == "test-py312"
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%define psuffix -test-py312
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%define skip_python39 1
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%define skip_python310 1
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%define skip_python311 1
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%bcond_without test
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%endif
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Name: python-numba%{?psuffix}
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Version: 0.59.0
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Release: 0
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Summary: NumPy-aware optimizing compiler for Python using LLVM
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License: BSD-2-Clause
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URL: https://numba.pydata.org/
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# SourceRepository: https://github.com/numba/numba
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Source: https://files.pythonhosted.org/packages/source/n/numba/numba-%{version}.tar.gz
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# PATCH-FIX-OPENSUSE skip tests failing due to OBS specifics
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Patch3: skip-failing-tests.patch
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BuildRequires: %{python_module devel >= 3.9}
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BuildRequires: %{python_module numpy-devel >= %{min_numpy_ver} with %python-numpy-devel < %{max_numpy_ver}}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: gcc-c++
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BuildRequires: python-rpm-macros
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BuildRequires: (tbb-devel >= 2021)
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Requires: (python-llvmlite >= 0.41 with python-llvmlite < 0.42)
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Requires: (python-numpy >= %{min_numpy_ver} with python-numpy < %{max_numpy_ver})
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Requires(post): update-alternatives
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Requires(postun): update-alternatives
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Recommends: python-Jinja2
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Recommends: python-Pygments
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Recommends: python-cffi
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Recommends: python-scipy > 1.0
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Recommends: python-tbb
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%if %{with test}
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BuildRequires: %{python_module Jinja2}
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BuildRequires: %{python_module PyYAML}
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BuildRequires: %{python_module Pygments}
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BuildRequires: %{python_module cffi}
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BuildRequires: %{python_module ipython}
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BuildRequires: %{python_module numba = %{version}}
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BuildRequires: %{python_module numba-devel = %{version}}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module psutil}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module scipy >= 1.0}
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BuildRequires: %{python_module tbb}
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%endif
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# Tests fail on ppc64 big endian, not resolvable on s390x
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# Supported Platforms: https://numba.pydata.org/numba-doc/dev/user/installing.html#compatibility
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ExclusiveArch: x86_64 %ix86 ppc64le %arm aarch64
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%python_subpackages
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%description
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Numba is a NumPy-aware optimizing compiler for Python. It uses the
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LLVM compiler infrastructure to compile Python syntax to
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machine code.
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It is aware of NumPy arrays as typed memory regions and so can speed-up
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code using NumPy arrays. Other, less well-typed code will be translated
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to Python C-API calls, effectively removing the "interpreter", but not removing
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the dynamic indirection.
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Numba is also not a tracing JIT. It *compiles* your code before it gets
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run, either using run-time type information or type information you provide
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in the decorator.
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Numba is a mechanism for producing machine code from Python syntax and typed
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data structures such as those that exist in NumPy.
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%package devel
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Summary: Development files for numba applications
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Requires: %{name} = %{version}
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Requires: python-devel
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Requires: python-numpy-devel >= %{min_numpy_ver}
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Requires: %{plainpython}(abi) = %{python_version}
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%description devel
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This package contains files for developing applications using numba.
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%prep
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%autosetup -p1 -n numba-%{version}
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sed -i -e '1{/env python/ d}' numba/misc/appdirs.py
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# random timeouts in OBS
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rm numba/tests/test_typedlist.py
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# if we reduced the amount of tests too much:
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# sed -i -e '/check_testsuite_size/ s/5000/3000/' numba/tests/test_runtests.py
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%build
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%if !%{with test}
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export CFLAGS="%{optflags} -fPIC"
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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%pyproject_install
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%{python_expand #
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%fdupes %{buildroot}%{$python_sitearch}
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find %{buildroot}%{$python_sitearch} -name '*.[ch]' > devel-files0-%{$python_bin_suffix}.files
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sed 's|^%{buildroot}||' devel-files0-%{$python_bin_suffix}.files > devel-files-%{$python_bin_suffix}.files
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sed 's|^%{buildroot}|%%exclude |' devel-files0-%{$python_bin_suffix}.files > devel-files-exclude-%{$python_bin_suffix}.files
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}
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%python_clone -a %{buildroot}%{_bindir}/numba
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%endif
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%check
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%if %{with test}
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# test the installed package, not the source without compiled modules
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mkdir emptytestdir
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pushd emptytestdir
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%{python_expand # numbatests: check specific tests with `osc build -M test --define="numbatests <testnames>"`
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%{_bindir}/numba-%%{$python_bin_suffix} -s
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$python -m numba.runtests -v -b --exclude-tags='long_running' -m %{_smp_build_ncpus} -- %{?!numbatests:numba.tests}%{?numbatests}
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}
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popd
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%endif
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%if !%{with test}
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%post
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%python_install_alternative numba
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%postun
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%python_uninstall_alternative numba
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%files %{python_files} -f devel-files-exclude-%{python_bin_suffix}.files
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%license LICENSE
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%doc CHANGE_LOG README.rst
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%python_alternative %{_bindir}/numba
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%{python_sitearch}/numba/
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%{python_sitearch}/numba-%{version}.dist-info
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%files %{python_files devel} -f devel-files-%{python_bin_suffix}.files
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%license LICENSE
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%endif
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%changelog
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