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Compiling Python code using LLVM

Edit Package python-numba

Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Continuum Analytics, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.

It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls effectively removing the “interpreter” but not removing the dynamic indirection.

Numba is also not a tracing JIT. It compiles your code before it gets run either using run-time type information or type information you provide in the decorator.

Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.

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Source Files
Filename Size Changed
_multibuild 0000000053 53 Bytes
fix-cli-test.patch 0000000564 564 Bytes
numba-0.56.2.tar.gz 0002417234 2.31 MB
python-numba.changes 0000062720 61.3 KB
python-numba.spec 0000006010 5.87 KB
skip-failing-tests.patch 0000001936 1.89 KB
update-tbb-backend-calls-2021.6.patch 0000002231 2.18 KB
Revision 34 (latest revision is 50)
Richard Brown's avatar Richard Brown (RBrownFactory) accepted request 1007810 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 34) 
- Update to 0.56.2
  This release continues to add new features, bug fixes and stability
  improvements to Numba. Please note that this will be the last release that
  has support for Python 3.7 as the next release series (Numba 0.57) will
  support Python 3.11! Also note that, this will be the last release to support
  linux-32 packages produced by the Numba team.
- Remove fix-max-name-size.patch, it's included in the new version.
- Add update-tbb-backend-calls-2021.6.patch to make it compatible with the
  latest tbb-devel version.
- Add fix-cli-test.patch to disable one test that fails with OBS.
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