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

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Series Pocket Published Component Section

Builds

Natty: [FULLYBUILT] i386

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

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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.