Markéta Machová
a0ae4b85f1
- Update to 0.51.2
* The compilation chain is now based on LLVM 10 (Valentin Haenel).
* Numba has internally switched to prefer non-literal types over literal ones so
as to reduce function over-specialisation, this with view of speeding up
compile times (Siu Kwan Lam).
* On the CUDA target: Support for CUDA Toolkit 11, Ampere, and Compute
Capability 8.0; Printing of ``SASS`` code for kernels; Callbacks to Python
functions can be inserted into CUDA streams, and streams are async awaitable;
Atomic ``nanmin`` and ``nanmax`` functions are added; Fixes for various
miscompilations and segfaults. (mostly Graham Markall; call backs on
streams by Peter Würtz).
* Support for heterogeneous immutable lists and heterogeneous immutable string
key dictionaries. Also optional initial/construction value capturing for all
lists and dictionaries containing literal values (Stuart Archibald).
* A new pass-by-reference mutable structure extension type ``StructRef`` (Siu
Kwan Lam).
* Object mode blocks are now cacheable, with the side effect of numerous bug
fixes and performance improvements in caching. This also permits caching of
functions defined in closures (Siu Kwan Lam).
* The error handling and reporting system has been improved to reduce the size
of error messages, and also improve quality and specificity.
* The CUDA target has more stream constructors available and a new function for
compiling to PTX without linking and loading the code to a device. Further,
the macro-based system for describing CUDA threads and blocks has been
replaced with standard typing and lowering implementations, for improved
debugging and extensibility.
- Better unpin llvmlite with unpin-llvmlite.patch to avoid breakages
OBS-URL: https://build.opensuse.org/request/show/845659
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=45
167 lines
5.2 KiB
RPMSpec
167 lines
5.2 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: 0.51.2
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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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Patch2: unpin-llvmlite.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 >= 0.33
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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 >= 0.33}
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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 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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# 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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%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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