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numexpr package

numexpr 2.2.2-3ubuntu2 source package in Ubuntu

Changelog

numexpr (2.2.2-3ubuntu2) trusty; urgency=medium

  * Fix installation of multiarch tagged extensions.
 -- Matthias Klose <email address hidden>   Sun, 05 Jan 2014 16:31:38 +0100

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Uploaded by:
Matthias Klose
Uploaded to:
Trusty
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
numexpr_2.2.2.orig.tar.gz 73.9 KiB 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee
numexpr_2.2.2-3ubuntu2.debian.tar.gz 6.7 KiB 3ae5e5fd0cb325f99c8d4a3923fa6dea9ed8bd04f2ca0524d2cd1ed4fc9ae6cc
numexpr_2.2.2-3ubuntu2.dsc 1.7 KiB f5999bcbc904616f2776e366209953e79e26d35ef856b301678c2d0a3233e820

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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 pyepr 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.