Thanks for the heads up, I wasn't aware of this project. While boost.python is a very nice package, its distributability is nothing short of nonexistent, so its great to have a pure python binding generator.
One thing which I have often found frustrating is natural ndarray interop between python and C++. Is there a (planned) mechanism for mapping arbitrary strided python ndarrays to boost arrays? On Thu, Feb 27, 2014 at 1:24 AM, Anthony Scopatz <scop...@gmail.com> wrote: > Hello All, > > I am *extremely *pleased to be able to announce the version 0.4 release > of xdress. This version contains much anticipated full support for Clang > as a parser! This is almost entirely due to the efforts of Geoffrey > Irving. Please thank him the next time you get a chance :) > > This release also contains a lot of other goodies that you can read about > in the release notes below. > > Happy Generating! > Anthony > > XDress 0.4 Release > Notes<http://xdress.org/previous/0.4_release_notes.html#xdress-0-4-release-notes> > > XDress is a numpy-aware automatic wrapper generator for C/C++ written in > pure Python. Currently, xdress may generate Python bindings (via Cython) > for C++ classes, functions, and certain variable types. It also contains > idiomatic wrappers for C++ standard library containers (sets, vectors, > maps). In the future, other tools and bindings will be supported. > > The main enabling feature of xdress is a dynamic type system that was > designed with the purpose of API generation in mind. > > Release highlights: > > > - Clang support! All kudos to Geoffrey Irving! > - NumPy dtypes may be created independently of C++ STL vectors > - A complete test suite refactor > - Arbitrary source code locations > - Global run control files > - A plethora of useful bug fixes > > This version of xdress is *not* 100% backwards compatible with previous > versions of xdress. We apologize in the name of progress. It represents ans > impressive 245 files changed, 44917 aggregate line insertions (+), and 7893 > deletions (-). > > Please visit the website for more information: http://xdress.org/ > > Ask questions on the mailing list: > https://groups.google.com/forum/#!forum/xdress > > Download the code from GitHub: http://github.com/xdress/xdress > > XDress is free & open source (BSD 2-clause license) and requires Python > 2.7+, NumPy 1.5+, Cython 0.19+, and optionally Clang, GCC-XML, pycparser, > dOxygen, or lxml. > New Features<http://xdress.org/previous/0.4_release_notes.html#new-features> > Clang Support<http://xdress.org/previous/0.4_release_notes.html#clang-support> > > Through the herculean efforts of Geoffrey Irving xdress finally has full, > first-class Clang/LLVM support! This is major advancement as it allows > xdress to wrap more modern versions of C++ than GCC-XML can handle. Because > of deficiencies in the existing libclang and Python bindings it was > necessary for us to fork libclang for xdress in the short term. We hope to > integrate these changes upstream. Clang versions 3.2 - 3.4 are supported. > Independent NumPy > Dtypes<http://xdress.org/previous/0.4_release_notes.html#independent-numpy-dtypes> > > In previous versions of xdress, to create a dtype of type T the user > needed to declare the desire for a wrapper of an STL vector of type T. > These two desires have now been separated. It is now possible to create a > dtype via the dtypes run control parameter. STL vectors are still wrapped > via dtypes. See the dtypes module for more information. > Shiny New Test > Suite<http://xdress.org/previous/0.4_release_notes.html#shiny-new-test-suite> > > The xdress test suite has been completely revamped to include both unit > and integration tests which are run for all available parsers. The > integration tests are accomplished though two fake projects - cproj and > cppproj - on which the xdress CLI is run. These tests are now fully > platform independent, unlike the previous BASH-based test suite. > Source Paths<http://xdress.org/previous/0.4_release_notes.html#source-paths> > > Source file paths are now given by either their absolute or relative path. > This allows source code to be located anywhere on the user's file system > and enable the wrapping of dependencies or externally supplied libraries as > needed. The run control parametersourcedir has been deprecated. > Global Run Control > Files<http://xdress.org/previous/0.4_release_notes.html#global-run-control-files> > > It is sometimes useful to be able to set system-wide run control > parameters. XDress will now search the following files in order of > increasing precedence. > > - $HOME/.xdressrc > - $HOME/.xdressrc.py > - $HOME/.config/xdressrc > - $HOME/.config/xdressrc.py > > $HOME is the user's home directory. Settings in the project run control > file take precedence over the values here. > Major Bug > Fixes<http://xdress.org/previous/0.4_release_notes.html#major-bug-fixes> > > - Debug file now always written when in debug mode. > - STL sets of custom types now allowed. > - Template parameters now allowed to be enum values. > - Allow classes with no default constructor. > > Join in the > Fun!<http://xdress.org/previous/0.4_release_notes.html#join-in-the-fun> > > If you are interested in using xdress on your project (and need help), > contributing back to xdress, starting up a development team, or writing > your own code generation plugin tool, please let us know. Participation is > very welcome! > Authors <http://xdress.org/previous/0.4_release_notes.html#authors> > > - Anthony Scopatz <http://scopatz.com/> > - Geoffrey Irving * > - James Casbon * > - Kevin Tew * > - Spencer Lyon > - John Wiggins > - Matt McCormick > - Brad Buran > - Chris Harris * > - Gerald Dalley * > - Micky Latowicki * > - Mike C. Fletcher * > - Robert Schwarz * > > An * indicates a first time contributor. > Links <http://xdress.org/previous/0.4_release_notes.html#links> > > 1. Homepage - http://xdress.org/ > 2. Mailing List - https://groups.google.com/forum/#!forum/xdress > 3. GitHub Organization - https://github.com/xdress > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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