numexpr 2.6.5-1build1 source package in Ubuntu

Changelog

numexpr (2.6.5-1build1) cosmic; urgency=medium

  * No-change rebuild to build for python3.7.

 -- Matthias Klose <email address hidden>  Thu, 28 Jun 2018 11:39:53 +0000

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Uploaded by:
Matthias Klose on 2018-06-28
Uploaded to:
Cosmic
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Cosmic release on 2018-06-29 universe python

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numexpr_2.6.5.orig.tar.gz 114.9 KiB fe78a78e002806e87e012b6105f3b3d52d47fc7a72bafb56341fcec7ce02cfd7
numexpr_2.6.5-1build1.debian.tar.xz 6.7 KiB 7bcfd33c74e1dbc18c619913ebd0b892aff3acf594db3a3fac338f0eff0dfa10
numexpr_2.6.5-1build1.dsc 2.5 KiB b5687d0ce4234a765c2f39d49b1b30820c8eb98f43843336c0b601a291cef6f3

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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.