pyrex 0.9.8.5-2ubuntu1 source package in Ubuntu
Changelog
pyrex (0.9.8.5-2ubuntu1) natty; urgency=low * Merge from debian unstable. Remaining changes: - Depend on python-dev: it supplies the python headers needed to build the C files pyrex generates. - debian/patches/02_baseexception.dpatch: * Fix deprecation warning in Pyrex/Compiler/Errors.py * drop " --install-layout=deb", uses py_setup_install_args now pyrex (0.9.8.5-2) unstable; urgency=low * Acknowledge NMU (closes: #519951) * Adjust pyrex-mode depends for emacs22 (closes: #485766) * Fix Vcs-* fields (closes: #536808) * Bump Standards-Version to 3.8.3 pyrex (0.9.8.5-1.1) unstable; urgency=low * Non-maintainer upload. * Prepare for the upcoming Python 2.6 transition; thanks to Evan Broder for the report; Closes: #519951 - debian/control + tight b-d on python-all-dev to '(>= 2.5.4-1~)' - debian/rules + include python.mk + pass py_setup_install_args to setup.py install -- Michael Vogt <email address hidden> Thu, 25 Nov 2010 20:45:57 +0100
Upload details
- Uploaded by:
- Michael Vogt
- Uploaded to:
- Natty
- Original maintainer:
- Ubuntu Developers
- Architectures:
- all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pyrex_0.9.8.5.orig.tar.gz | 236.5 KiB | dd60bc66b1627d3cbd0950499017dfd57a0705bb12493bb0de2a7b9b5c0873bc |
pyrex_0.9.8.5-2ubuntu1.diff.gz | 8.5 KiB | 40b0eddc95b0231debbf2095a8fdab501864a6a8c601182cee6d1fcf5c4c54f4 |
pyrex_0.9.8.5-2ubuntu1.dsc | 1.3 KiB | f0eec3a6c3d2fb902f7ad4c43299cb84e1306adadbd833049f4bd3e9d3aff920 |
Available diffs
Binary packages built by this source
- pyrex-mode: No summary available for pyrex-mode in ubuntu oneiric.
No description available for pyrex-mode in ubuntu oneiric.
- python-pyrex: compile native-code modules for Python from Python-like syntax
Pyrex lets you write code that mixes Python and C data types any way you want,
and compiles it into a C extension for Python.
.
You can get very large speedups for tasks that don't need all the dynamic
features of Python, with very small differences in syntax and much less
hassle than writing your modules from scratch in C.