numexpr 2.6.2-2 source package in Ubuntu

Changelog

numexpr (2.6.2-2) unstable; urgency=medium

  * Restore -dbg packages

 -- Antonio Valentino <email address hidden>  Mon, 14 Aug 2017 18:13:26 +0000

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Uploaded by:
Debian Science Team on 2017-08-15
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Artful release on 2017-08-16 universe python

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File Size SHA-256 Checksum
numexpr_2.6.2-2.dsc 2.5 KiB 286784e001c08445d4d862d5383f02d74500802a7fb3c9ae828f699779f19f1e
numexpr_2.6.2.orig.tar.gz 97.7 KiB 8c57759bbd64fb81d985e54772191b71e8b63d58843d64933009521d2dddfd2f
numexpr_2.6.2-2.debian.tar.xz 6.6 KiB 600324596e0c35f87e24c0a1f65bdcfbd03863cdaf0001e4c955464f5427a393

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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.