numexpr 2.6.9-1 source package in Ubuntu

Changelog

numexpr (2.6.9-1) unstable; urgency=medium

  * New upstream release.
  * Standard version bumped to 4.3.0, no change.

 -- Antonio Valentino <email address hidden>  Sun, 30 Dec 2018 10:02:17 +0000

Upload details

Uploaded by:
Debian Science Team on 2018-12-30
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
Eoan release on 2019-04-18 universe python
Disco release on 2018-12-30 universe python

Downloads

File Size SHA-256 Checksum
numexpr_2.6.9-1.dsc 2.4 KiB 9c42f4c22f1fd9e14f776d548d837254526c2343ca2bfc4b609eda8333d23063
numexpr_2.6.9.orig.tar.gz 116.2 KiB d57267bbdf10906f5ed7841b3484bec4af0494102b50e89ba316924cc7a7fd46
numexpr_2.6.9-1.debian.tar.xz 6.7 KiB b11efd94ac944109888aee050a5ad0b856a27b0321e2b3c78bab7d3de75b8ebe

Available diffs

No changes file available.

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.