numexpr 2.2.2-3 source package in Ubuntu
Changelog
numexpr (2.2.2-3) unstable; urgency=medium
* debian/rules:
- run unittests in verbose mode
* debian/patches
- dropped patch: 0002-relax-test-on-sparc.patch
It does not actually fix the issue.
- new patch 0002-skip-threading-tests-on-sparc.patch
Skip all tests related to threading on sparc
-- Antonio Valentino <email address hidden> Mon, 09 Dec 2013 18:54:24 +0000
Upload details
- Uploaded by:
- Debian Science Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Science Team
- Architectures:
- any
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| numexpr_2.2.2-3.dsc | 1.7 KiB | 072f694ab242a8894fc551d140df4b11f3140517e2908d9987b4cd090030e958 |
| numexpr_2.2.2.orig.tar.gz | 73.9 KiB | 47d3435785f59a72dc06a1c0257b83f0f656d4974e804c30a6ef8c0de293d9ee |
| numexpr_2.2.2-3.debian.tar.gz | 6.6 KiB | 72e53bac3fb67959dacda093980a4032011353c4f284fe4f67ab0955f22d00ee |
Available diffs
- diff from 2.2.2-2 to 2.2.2-3 (1.8 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.
