numexpr 2.7.0-2 source package in Ubuntu
Changelog
numexpr (2.7.0-2) unstable; urgency=medium
* debian/control:
- explicitly set Rules-Requires-Root: no
* Update standards version to 4.4.1, no changes needed.
* Remove obsolete fields Name from debian/upstream/metadata.
* Fix day-of-week for changelog entries 1.3.1-2, 1.3.1-1.
* Replace deprecated ADTTMP with AUTOPKGTEST_TMP in debian/test/python*
* Drop python2 support (Closes: #937167).
-- Antonio Valentino <email address hidden> Wed, 18 Dec 2019 07:19:39 +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_2.7.0-2.dsc | 2.2 KiB | ddf609f1791fc1c47110d191b0c65f2982c854a15c40597a678e5b3cd3e2e102 |
| numexpr_2.7.0.orig.tar.gz | 117.5 KiB | 1923f038b90cc69635871968ed742be7775c879451c612f173c2547c823c9561 |
| numexpr_2.7.0-2.debian.tar.xz | 7.9 KiB | 1d3759ddaf499c674aeb3358c0a53512724ad5a798839d2ac13e2c1317d16589 |
Available diffs
No changes file available.
Binary packages built by this source
- 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.
