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History of commit frequency

CVS Commit History:


   2014-05-09 09:38:42 by Thomas Klausner | Files touched by this commit (229)
Log message:
Mark packages that are not ready for python-3.3 also not ready for 3.4,
until proven otherwise.
   2014-01-25 11:38:08 by Thomas Klausner | Files touched by this commit (171) | Package updated
Log message:
Mark packages as not ready for python-3.x where applicable;
either because they themselves are not ready or because a
dependency isn't. This is annotated by
PYTHON_VERSIONS_INCOMPATIBLE=  33 # not yet ported as of x.y.z
or
PYTHON_VERSIONS_INCOMPATIBLE=  33 # py-foo, py-bar
respectively, please use the same style for other packages,
and check during updates.

Use versioned_dependencies.mk where applicable.
Use REPLACE_PYTHON instead of handcoded alternatives, where applicable.
Reorder Makefile sections into standard order, where applicable.

Remove PYTHON_VERSIONS_INCLUDE_3X lines since that will be default
with the next commit.

Whitespace cleanups and other nits corrected, where necessary.
   2012-11-14 01:16:14 by othyro | Files touched by this commit (42)
Log message:
Fixed invalid CATEGORIES. Some of these also got DISTNAME modified and
minor formatting fixes.
   2012-10-07 13:54:33 by Aleksej Saushev | Files touched by this commit (55)
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2011-03-07 11:45:51 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py26-gist-1.5.28 as wip/py-gist.

Gist is a scientific graphics library written by David H. Munro of Lawrence
Livermore National Laboratory. It features support for three common
graphics output devices: X-Windows, (Color) PostScript, and ANSI/ISO
Standard Computer Graphics Metafiles (CGM). The library is small
(written directly to Xlib), portable, efficient, and full-featured. It
produces x-vs-y plots with ``good'' tick marks and tick labels,
2-D quadrilateral mesh plots with contours, vector fields, or pseudocolor
maps on such meshes, and a selection of 3-D plots.

The Python Gist module utilizes the ``Numerical'' package due to
J. Hugunin and others.  It is therefore fast and able to handle large
datasets. The Gist module includes an X-windows event dispatcher which
can be dynamically added to the Python interpreter. This makes fast
mouse-controlled zoom, pan, and other graphic operations available to
the researcher while maintaining the usual Python command-line interface.


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