Ubuntu
numexpr package

numexpr 2.2.2-4 source package in Ubuntu

Changelog

numexpr (2.2.2-4) unstable; urgency=low


  * Standard version dumped to 3.9.5 (no change)
  * debian/control
    - remove the Breaks field: compatibility with PyTables < 3.0 has
      been restored in numexpr 2.2.2 (see
      https://code.google.com/p/numexpr/wiki/ReleaseNotes)
  * debian/rules
    - fixed file conflict between python3-numexpr and
      python3-numexpr-dbg packages (Closes: #735131) 

 -- Antonio Valentino <email address hidden>  Mon, 13 Jan 2014 10:38:06 +0000

Upload details

Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any
Section:
python
Urgency:
Low Urgency

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File Size SHA-256 Checksum
numexpr_2.2.2-4.dsc 1.7 KiB 61bb297da2d99cb496a837ca69a25a7e3d612815a28b135d7ea8d784d95498ca
numexpr_2.2.2.orig.tar.gz 73.9 KiB 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee
numexpr_2.2.2-4.debian.tar.gz 6.8 KiB 2f2b0fb70672af9838cd7b2dc8e41e1229f877b4913765bf356ccacef0123cc8

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 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.