Eelco Hoogendoorn <hoogendoorn.ee...@gmail.com> writes: > I have; but if I recall correctly, it does not solve the problem of > distributing code that uses it, or does it?
Indeed not. But the Boost licence is very liberal, so I just link it statically; for source distributions, I just ship a minimal copy of the Boost sources I need. Toby > On Thu, Feb 27, 2014 at 10:51 AM, Toby St Clere Smithe < > pyvienn...@tsmithe.net> wrote: > >> Hi, >> >> Eelco Hoogendoorn <hoogendoorn.ee...@gmail.com> writes: >> > 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? >> >> Have you tried boost.numpy? >> >> https://github.com/ndarray/Boost.NumPy >> >> I have a fork which builds against Python 3, as well -- though it's >> mainly used for PyViennaCL, and might need a bit of cleaning. >> >> Cheers, >> >> Toby >> >> >> >> >> > >> > 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 >> >> >> >> >> > _______________________________________________ >> > NumPy-Discussion mailing list >> > NumPy-Discussion@scipy.org >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
