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numba package

numba 0.56.4+dfsg-1 source package in Ubuntu

Changelog

numba (0.56.4+dfsg-1) unstable; urgency=medium

  * Warning! The upstream patches added to support Python 3.11 are
    incomplete at present and there are test failures with Numba
    running with Python 3.11.
  * New upstream release
  * Increment Build-Depends as 0.56.4 supports up to numpy 1.24
    (Closes: #1026286)
  * Backport https://github.com/numba/numba/pull/8545 to support
    Python 3.11 (Closes: #1024031)
  * Add lintian override about np/ufunc/_num_threads library as it is
    not linked to libc in Python 3.11 either.
  * Bump Standards-Version to 4.6.1. No changes needed.
  * Use numbas runtests.py instead of pytest for running build time tests.
    - upstreams test runner is parallelized.
    - also I limited the test runner to choose a random 20% of the tests
      as builds frequently exceeded builder runtime limits.
    - add pybuild.testfiles to copy runtests driver into build directory.
  * Remove pytest packages from Build-Dependencies since they're unused now.
  * Override litian error for very-long-line in numba/tests/test_nrt.py
    The long line is the symbolic representation of what the test
    generated assembly code should be.
  * Add numpy-1-24-pr8691.patch with some small modifications to build with
    the Python 3.11 patches and adjust the maximum numpy version.
    (Closes: #1026286)
    This allows increasing numpy build depends to << 1.25

 -- Diane Trout <email address hidden>  Sat, 07 Jan 2023 21:21:26 -0800

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
numba_0.56.4+dfsg-1.dsc 2.4 KiB d7d9448b8806ce7768e290bfac63d008b67c41bf7b5fb66cc3e2cd018d0dd256
numba_0.56.4+dfsg.orig.tar.xz 1.7 MiB 2139831b84371aeb3ecbaf64f8ecc50c683768742f4c1bdadbd6768853c26987
numba_0.56.4+dfsg-1.debian.tar.xz 52.2 KiB 29c78422b364c341bfd982cbd8da992a8a45d6ccda813cad6281f3e054c24ef9

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Binary packages built by this source

numba-doc: native machine code compiler for Python (docs)

 Numba compiles native machine code instructions from Python programs at
 runtime using the LLVM compiler infrastructure. Just-in-time compilation with
 Numba could be easily employed by decorating individual computation intensive
 functions in the Python code.
 Numba could significantly speed up the performance of computations, and
 optionally supports compilation to run on GPU processors through Nvidia's
 CUDA platform.
 It integrates well with the Python scientific software stack, and
 especially recognizes Numpy arrays.
 .
 This package contains the documentation and examples.

python3-numba: native machine code compiler for Python 3

 Numba compiles native machine code instructions from Python programs at
 runtime using the LLVM compiler infrastructure. It could be easily employed
 by decorating individual computation intensive functions in the Python code.
 Numba could significantly speed up the performance of computations, and
 optionally supports compilation to run on GPU processors through Nvidia's
 CUDA platform.
 It integrates well with the Python scientific software stack, and
 especially recognizes Numpy arrays.
 .
 This package contains the modules for Python 3.

python3-numba-dbgsym: debug symbols for python3-numba