numba 0.42.0-1build1 source package in Ubuntu

Changelog

numba (0.42.0-1build1) focal; urgency=medium

  * No-change rebuild to build with python3.8.

 -- Matthias Klose <email address hidden>  Fri, 18 Oct 2019 18:41:31 +0000

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

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numba_0.42.0.orig.tar.xz 1.4 MiB d1c7f02ac515adf500ca44a8e09e6d3e5b81104ace5b8175fa98789acbcb8936
numba_0.42.0-1build1.debian.tar.xz 7.1 KiB 51ef967b77d2b75e14731b4980a067db8633182430c81750839704e5f05c8c35
numba_0.42.0-1build1.dsc 2.2 KiB 77945df920b6b5b4945dfe12515df7314f8f2d168777e24a39936b9db904674c

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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