b4daad252d
- Update to 0.49.0
* Removal of all Python 2 related code and also updating the minimum supported
Python version to 3.6, the minimum supported NumPy version to 1.15 and the
minimum supported SciPy version to 1.0. (Stuart Archibald).
* Refactoring of the Numba code base. The code is now organised into submodules
by functionality. This cleans up Numba's top level namespace.
(Stuart Archibald).
* Introduction of an ``ir.Del`` free static single assignment form for Numba's
intermediate representation (Siu Kwan Lam and Stuart Archibald).
* An OpenMP-like thread masking API has been added for use with code using the
parallel CPU backends (Aaron Meurer and Stuart Archibald).
* For the CUDA target, all kernel launches now require a configuration, this
preventing accidental launches of kernels with the old default of a single
thread in a single block. The hard-coded autotuner is also now removed, such
tuning is deferred to CUDA API calls that provide the same functionality
(Graham Markall).
* The CUDA target also gained an External Memory Management plugin interface to
allow Numba to use another CUDA-aware library for all memory allocations and
deallocations (Graham Markall).
* The Numba Typed List container gained support for construction from iterables
(Valentin Haenel).
* Experimental support was added for first-class function types
(Pearu Peterson).
- Refreshed patch skip-failing-tests.patch
* the troublesome tests are skipped upstream on 32-bit
- Unpin llvmlite
OBS-URL: https://build.opensuse.org/request/show/798175
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=41
168 lines
5.3 KiB
RPMSpec
168 lines
5.3 KiB
RPMSpec
#
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# spec file for package python-numba
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#
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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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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == "test"
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%define psuffix -test
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%bcond_without test
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%else
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%define psuffix %{nil}
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%bcond_with test
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%endif
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Name: python-numba%{psuffix}
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Version: 0.49.0
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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://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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Patch0: skip-failing-tests.patch
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# PATCH-FIX-UPSTREAM fix-max-name-size.patch -- fix for gh#numba/numba#3876 -- from gh#numba/numba#4373
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Patch1: fix-max-name-size.patch
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy-devel >= 1.15}
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BuildRequires: %{python_module setuptools}
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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
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Requires: python-llvmlite >= 0.31
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Requires: python-numpy >= 1.15
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Requires: python-scipy >= 0.16
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Requires(post): update-alternatives
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Requires(preun): 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-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 llvmlite >= 0.31}
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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 pytest}
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BuildRequires: %{python_module scipy >= 0.16}
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BuildRequires: %{python_module tbb}
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%endif
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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 >= 1.11
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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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%setup -q -n numba-%{version}
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%autopatch -p1
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sed -i '1{\@^#!%{_bindir}/env python@d}' numba/appdirs.py
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# due to new numpy version tests now fail
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# Remove this with version update! (>0.48.0)
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# https://github.com/numba/numba/issues/5251
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rm numba/tests/test_np_functions.py
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rm numba/tests/test_ufuncs.py
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rm numba/tests/test_array_manipulation.py
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rm numba/tests/test_array_reductions.py
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# https://github.com/numba/numba/issues/5179
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rm numba/tests/test_hashing.py
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# timeouts randomly in OBS
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rm numba/tests/test_typedlist.py
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# as we reduced the amount of tests:
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sed -i -e 's:5000:3000:' numba/tests/test_runtests.py
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# unpin llvmlite since it screws up dependencies
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sed -i 's/,<={max_llvmlite_version}//' setup.py
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%build
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export CFLAGS="%{optflags} -fPIC"
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%python_build
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%install
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%if !%{with test}
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%python_clone -a %{buildroot}%{_bindir}/numba
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%python_clone -a %{buildroot}%{_bindir}/pycc
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%endif
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%check
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%if %{with test}
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mv numba numba_temp
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export NUMBA_PARALLEL_DIAGNOSTICS=1
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%{python_expand export PYTHONPATH=%{$python_sitearch}
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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} -- numba.tests
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}
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mv numba_temp numba
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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 pycc}
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%preun
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%python_uninstall_alternative numba
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%files %{python_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_alternative %{_bindir}/pycc
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%{python_sitearch}/numba/
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%{python_sitearch}/numba-%{version}-py*.egg-info
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%exclude %{python_sitearch}/numba/*.c
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%exclude %{python_sitearch}/numba/*.h
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%exclude %{python_sitearch}/numba/*/*.c
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%exclude %{python_sitearch}/numba/*/*.h
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%files %{python_files devel}
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%{python_sitearch}/numba/*.c
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%{python_sitearch}/numba/*.h
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%{python_sitearch}/numba/*/*.c
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%{python_sitearch}/numba/*/*.h
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%endif
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%changelog
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