numexpr 2.2.2-2 source package in Ubuntu
Changelog
numexpr (2.2.2-2) unstable; urgency=low
* New patch: 0002-relax-test-on-sparc.patch
Introduces a temporary workaround to fix a cuople of test failiures
on sparc.
-- Antonio Valentino <email address hidden> Tue, 26 Nov 2013 18:44:55 +0000
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| numexpr_2.2.2-2.dsc | 1.7 KiB | 13ae9a78681ce18f0b7cfaa85a4ef15fa0b128d34c71212a0ac8dcd9660d7801 |
| numexpr_2.2.2.orig.tar.gz | 73.9 KiB | 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee |
| numexpr_2.2.2-2.debian.tar.gz | 6.4 KiB | 0036ecc2a095691a39826b7d82e9f99e1ad63734a68b2011b92d3422691e79ab |
Available diffs
- diff from 2.2.2-1 to 2.2.2-2 (1.0 KiB)
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.
