numexpr 2.6.4-1 source package in Ubuntu

Changelog

numexpr (2.6.4-1) unstable; urgency=medium

  * New upstream release
  * Standard version bump to 4.1.1 (extra --> optional)
  * debian/control
    remove un-necessary Testsuite: autopkgtest
  * Reformat debian/tests/control
  * Add debian/source.lintian-overrides

 -- Antonio Valentino <email address hidden>  Sun, 19 Nov 2017 08:33:55 +0000

Upload details

Uploaded by:
Debian Science Team on 2018-01-13
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Bionic release on 2018-01-28 universe python

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File Size SHA-256 Checksum
numexpr_2.6.4-1.dsc 2.5 KiB 7a2aae11ce3dc4445221ca2d4faf42fbe0ab02d9dd7f3570a92b911845eee7bf
numexpr_2.6.4.orig.tar.gz 113.1 KiB 76b2112592fe33cbcc53426458b4286ec25f3bd5938b195c13782724137736b8
numexpr_2.6.4-1.debian.tar.xz 6.7 KiB 8461211aeea3dc86d9143e53cc7a55d67b02fdc9044efbefcd9a177e14933c23

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Binary packages built by this source

python-numexpr: Fast numerical array expression evaluator for Python and NumPy

 Numexpr package evaluates multiple-operator array expressions many
 times faster than NumPy can. It accepts the expression as a string,
 analyzes it, rewrites it more efficiently, and compiles it to faster
 Python code on the fly. It's the next best thing to writing the
 expression in C and compiling it with a specialized just-in-time
 (JIT) compiler, i.e. it does not require a compiler at runtime.
 .
 This is the Python 2 version of the package.

python-numexpr-dbg: Fast numerical array expression evaluator for Python and NumPy (debug ext)

 Numexpr package evaluates multiple-operator array expressions many
 times faster than NumPy can. It accepts the expression as a string,
 analyzes it, rewrites it more efficiently, and compiles it to faster
 Python code on the fly. It's the next best thing to writing the
 expression in C and compiling it with a specialized just-in-time
 (JIT) compiler, i.e. it does not require a compiler at runtime.
 .
 This package contains the extension built for the Python 2 debug
 interpreter.

python3-numexpr: Fast numerical array expression evaluator for Python 3 and NumPy

 Numexpr package evaluates multiple-operator array expressions many
 times faster than NumPy can. It accepts the expression as a string,
 analyzes it, rewrites it more efficiently, and compiles it to faster
 Python code on the fly. It's the next best thing to writing the
 expression in C and compiling it with a specialized just-in-time
 (JIT) compiler, i.e. it does not require a compiler at runtime.
 .
 This package contains numexpr for Python 3.

python3-numexpr-dbg: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext)

 Numexpr package evaluates multiple-operator array expressions many
 times faster than NumPy can. It accepts the expression as a string,
 analyzes it, rewrites it more efficiently, and compiles it to faster
 Python code on the fly. It's the next best thing to writing the
 expression in C and compiling it with a specialized just-in-time
 (JIT) compiler, i.e. it does not require a compiler at runtime.
 .
 This package contains the extension built for the Python 3 debug
 interpreter.