Mailman 3 September 2014 - Cplusplus-sig

boost::python embedding error - runtime - Mac OS X - 1.38
by Igor Karpov Oct. 1, 2014

Oct. 1, 2014

Hi, I am trying to run the following program: #include <iostream> #include <Python.h> #include <boost/python.hpp> using namespace boost::python; using namespace std; int main(int argc, char** argv) { { // Using Python/C Py_Initialize(); PyObject* main_module = PyImport_ImportModule("__main__"); PyObject* globals = PyEval_GetGlobals(); PyObject* locals = PyEval_GetLocals(); PyRun_SimpleString("print 'Hello World, from Python/C!'\n"); Py_Finalize(); } { // Using boost::python Py_Initialize(); object main_module = import("__main__"); object main_namespace = main_module.attr("__dict__"); try { object ignored = exec("print 'Hello World, from boost::python!'\n", main_namespace); Py_Finalize(); } catch (error_already_set const& e) { PyErr_Print(); return 1; } } return 0; } on Linux (both x86 and x86_64), with Ubuntu's default version of Boost (1.34.1) installed, I am able to do so as expected: $ ./embed Hello World, from Python/C! Hello World, from boost::python! on Mac OS X, I get a runtime error: $ ./embed Hello World, from Python/C! Bus Error Running with gdb, this is the stack trace: Hello World, from Python/C! Program received signal EXC_BAD_ACCESS, Could not access memory. Reason: KERN_PROTECTION_FAILURE at address: 0x00000000 0x00000000 in ?? () (gdb) where #0 0x00000000 in ?? () #1 0x00bb618f in PyEval_GetGlobals () #2 0x00bce0dd in PyImport_Import () #3 0x00bce2b0 in PyImport_ImportModule () #4 0x008127d4 in boost::python::import (name=@0xbffff4a8) at libs/python/src/import.cpp:20 #5 0x00004446 in main (argc=1, argv=0xbffff510) at embed.cc:22 For this Mac, boost version is latest (1.38) and python version is: Python 2.5.4 (r254:67917, Dec 23 2008, 14:57:27) [GCC 4.0.1 (Apple Computer, Inc. build 5363)] on darwin Is this a bug? I attached the source and the cmake file I am using to build, for convenience. Thanks, --Igor.

4 6

boost.python built with VC2010
by Mohammed El-Afifi Sept. 29, 2014

Sept. 29, 2014

Hello, I have successfully built boost.python with visual c++ 2010(dynamic library, 64-bit). I have python 2.7.8 64-bit installed on windows 7 64-bit. I've read here https://docs.python.org/2/distutils/apiref.html#module-distutils.msvccompil… that python extensions should be built with the same compiler that was used to build python itself. My question is, since python 2.7.8 was built with visual c++ 2008 64-bit compiler, can I have the following mix a) my python extension built with VC2008 64-bit(to match python itself) b) 64-bit boost.python dll built with VC2010 64-bit c) python 64-bit, built itself with VC2008 64-bit? I've noticed that boost.python dll depends on python dll and that's why I'm quite worried about the mix. Appreciating your insights.

2 1

mds-utils 2.1.0 released
by Michele De Stefano Sept. 28, 2014

Sept. 28, 2014

I am pleased to announce the release of mds-utils 2.1.0 <http://www.micheledestefano.joomlafree.it/en/mds-utils.html>. Features summary --------------------------- MDS-UTILS provides: 1. a tool for detecting machine endianity. 2. utilities for the Boost uBLAS library. Amongst them, some type traits for detecting different uBLAS matrix types. 3. some useful classes that allow to treat the old C FILE pointer as a C++ stream. 4. C++ wrappers of the main Python objects, independent of those in Boost Python. Wrappers are provided also for NumPy arrays. 5. C++ classes that help on treating Python file objects as C++ streams. 6. a review and refactor of the indexing support in Python extensions. Now access in write mode is supported too. 7. new C++ *to-Python* and *from-Python* converters for some *Boost uBlas* objects and for standard Python objects. These converters do not depend on Boost Python. 8. a new sequence iterator that is able to wrap Python sequences and allows also to modify them. This feature does not depend on Boost.Python. 9. the NDArrayIterator class, that wraps the Numpy C-API iterator and allows easy management of conversions to/from Numpy arrays. 10. some SWIG interface files, for easy integration with SWIG extensions for Python. Each class is a well-documented, small, easy to use and it should never be too difficult to learn to use it. A large percentage of this library makes a heavy usage of the Boost C++ libraries <http://www.boost.org/>: so, they must be installed on the system. It is assumed that the user is familiar with them. Michele De Stefano

1 0

Building Boost with python2.7 libraries on centos 6.5
by Whitmore, Mattie [USA] Sept. 11, 2014

Sept. 11, 2014

Dear All, I must build boost 1.46.1 from source since yum does not support it. I am running into issues with the proper make commands. I have run: ./bootstrap.sh -with-libraries=python -with-python=Python2.7 -with-toolset=gcc ./bjam -a --layout=tagged -q libs/python/src/numeric.cpp:22: warning: ‘boost::python::numeric::<unnamed>::array_module’ defined but not used "g++" -ftemplate-depth-128 -O3 -finline-functions -Wno-inline -Wall -pthread -DBOOST_ALL_NO_LIB=1 -DBOOST_PYTHON_SOURCE -DBOOST_PYTHON_STATIC_LIB -DNDEBUG -I"." -I"/usr/include/python2.6" -c -o "bin.v2/libs/python/build/gcc-4.4.7/release/link-static/threading-multi/numeric.o" "libs/python/src/numeric.cpp" ...failed gcc.compile.c++ bin.v2/libs/python/build/gcc-4.4.7/release/link-static/threading-multi/numeric.o... ...failed updating 1 target... Does anyone have suggestions on building boost with python libraries? Is this because I am not building all of the libraries at once? Thanks in advance Mattie

3 2