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235 Commits

Author SHA1 Message Date
nobody
d695e0d68f This commit was manufactured by cvs2svn to create tag
'Version_1_33_0'.

[SVN r30532]
2005-08-12 03:25:34 +00:00
Ralf W. Grosse-Kunstleve
783c8c422e bug fix merged from trunk
[SVN r30472]
2005-08-04 20:19:24 +00:00
Dave Abrahams
79a25bfd4c merged from trunk
[SVN r30402]
2005-08-03 12:26:12 +00:00
Dave Abrahams
35472e60e3 merged from trunk
[SVN r30399]
2005-08-03 11:40:17 +00:00
nobody
2aa129a02f This commit was manufactured by cvs2svn to create branch 'RC_1_33_0'.
[SVN r30300]
2005-07-28 18:22:24 +00:00
Ralf W. Grosse-Kunstleve
ad635ec2d1 include order according to Python's rules
[SVN r30242]
2005-07-26 01:19:18 +00:00
Dave Abrahams
affd36e857 Fix up problem report issues (tabs, broken links, unlinked)
[SVN r30241]
2005-07-25 21:20:10 +00:00
Dave Abrahams
332a45f333 untabify
[SVN r30239]
2005-07-25 20:57:30 +00:00
Joel de Guzman
6cc48f7e5d adjusting link to libraries.html
[SVN r29999]
2005-07-12 07:53:00 +00:00
Joel de Guzman
5b6192d738 Tutorial bug fix (__init__ gets interpreted as underlined _init_ by quickbook)
[SVN r29970]
2005-07-10 20:06:21 +00:00
Joel de Guzman
980733a96d fixed bug where a vector<T*> is being wrapped by the indexing suite.
[SVN r29930]
2005-07-07 14:00:31 +00:00
Dave Abrahams
331209d8b5 Fix link in news
Improve assertions in indirect_traits_test by making them compile-time
and using MPL assert primitives


[SVN r29782]
2005-06-24 15:42:22 +00:00
Dave Abrahams
9116cf382b Fix reference search URL
[SVN r29635]
2005-06-17 02:55:31 +00:00
Dave Abrahams
8cc2b7a5df Add search box
[SVN r29626]
2005-06-16 17:49:38 +00:00
Joel de Guzman
dab01ad668 Typo fix (objecto)
[SVN r29625]
2005-06-16 17:26:00 +00:00
Ralf W. Grosse-Kunstleve
1fca114f6a work around RedHat 7.3 gcc 2.96 code generation errors: use previously checked in VC6, VC7.0 workaround only for exactly these compilers
[SVN r29267]
2005-05-29 17:05:25 +00:00
Dave Abrahams
70ee460a14 Py_Initialize outside the first test routine
[SVN r29167]
2005-05-24 12:20:03 +00:00
Douglas Gregor
07c95aea4e gcc-3_3-darwin also needs -bind_at_load
[SVN r29102]
2005-05-20 20:12:29 +00:00
Dave Abrahams
a3d8a384fa Workaround for compilers that have trouble with lexical_cast.
[SVN r29033]
2005-05-18 14:11:20 +00:00
Dave Abrahams
432d4782a5 Take typeid(T&) rather than typeid(T). For some some compilers won't
let you get away with typeid(T) when T is an incomplete class
type (that's conforming behavior), but GCC at least will allow
typeid(T&) -- also disallowed by the standard when T is incomplete.
If it turns out that EDGs also barf on typeid(T&), we may have more
work to do.

Some warning suppression for MSVC.


[SVN r29020]
2005-05-18 01:34:35 +00:00
Dave Abrahams
424f5bdf31 Workarounds for vc6 and 7.
[SVN r28973]
2005-05-16 17:34:46 +00:00
Dave Abrahams
13b16f9729 Workarounds for vc6 and 7.
[SVN r28958]
2005-05-16 14:54:12 +00:00
Dave Abrahams
82563df3bf Better support for rvalue from-python conversions of shared_ptr:
always return a pointer that holds the owning python object *unless*
the python object contains a NULL shared_ptr holder of the right type.


[SVN r28947]
2005-05-16 03:31:13 +00:00
Dave Abrahams
adb7b62a62 gcc workarounds
[SVN r28946]
2005-05-16 02:49:14 +00:00
Dave Abrahams
02c0b2b486 Improve MPL idiomatic usage
[SVN r28945]
2005-05-16 02:01:35 +00:00
Dave Abrahams
c876db8cae VC8 beta workaround
[SVN r28944]
2005-05-16 01:57:30 +00:00
Joel de Guzman
3ce88daa8b Tutorial Updates for Building BPL Projects
[SVN r28889]
2005-05-14 02:50:34 +00:00
Dave Abrahams
4cec6c4f2f Added copyright
[SVN r28780]
2005-05-10 11:53:17 +00:00
Brett Calcott
e38bf06257 updated visual studio project build file to include two new files (slice.cpp and wrapper.cpp)
updated email address for maintainer of visual studio files.


[SVN r28732]
2005-05-08 09:55:43 +00:00
Joel de Guzman
0deed1ff9b removing unnecessary file
[SVN r28584]
2005-05-02 15:57:42 +00:00
Joel de Guzman
a05a0ae46b Python now correctly syntax colorized + some minor tweaks
[SVN r28581]
2005-05-02 15:51:26 +00:00
Dave Abrahams
fe3906a7cb Fix broken vc6 compatibility
[SVN r28515]
2005-04-28 14:15:19 +00:00
Bruno da Silva de Oliveira
e5ed3a1c6c Fixed bug where the code for wrappers of member functions were defined outside
the pyste namespace. Reported by Dan Haffey.


[SVN r28479]
2005-04-25 23:49:21 +00:00
Bruno da Silva de Oliveira
2bbff71109 *** empty log message ***
[SVN r28478]
2005-04-25 23:49:04 +00:00
Victor A. Wagner Jr.
c492551111 Deleted - an extraneous \r at the end of lines which causes vc8.0 to mistake the
files for some created on the Mac (apparently a HENIOUS crime which is intolerable
          to those at Microsoft and which must be considered an error)
Changed - the version of python mentioned specifically from 2.3 to 2.4


[SVN r28471]
2005-04-25 10:01:07 +00:00
Vladimir Prus
b217c4ffa8 Replace 'run-pyd' with 'bpl-test' in a couple of places. The former does
not produce the .test files that regression tools want.


[SVN r28213]
2005-04-13 11:42:50 +00:00
Ralf W. Grosse-Kunstleve
96e9d6a872 std_pair jam rules and test
[SVN r27876]
2005-03-30 00:36:02 +00:00
Ralf W. Grosse-Kunstleve
fef288fed2 new std::pair to_python_converter example
[SVN r27875]
2005-03-29 23:02:45 +00:00
Stefan Slapeta
2fdb98079d Intel workaround extended to 9.0
[SVN r27861]
2005-03-29 07:41:34 +00:00
Dave Abrahams
bbabf21abf pydoc note
[SVN r27615]
2005-03-12 03:05:04 +00:00
Dave Abrahams
6d24977dd2 Comments for hacks to make PyDoc work. Eliminate reinterpret_cast.
[SVN r27614]
2005-03-12 02:58:42 +00:00
Dave Abrahams
c2b5925600 Hacks to make PyDoc work, from Nick Rasmussen <nick-at-ilm.com>
[SVN r27613]
2005-03-12 02:49:10 +00:00
Dave Abrahams
91e76a296f Added Civilization IV
[SVN r27599]
2005-03-10 14:53:39 +00:00
Dave Abrahams
e4eee902d4 Add missing #include
[SVN r27598]
2005-03-10 14:40:12 +00:00
Ralf W. Grosse-Kunstleve
db71f17dba typo fixed
[SVN r27577]
2005-03-08 15:17:44 +00:00
Ralf W. Grosse-Kunstleve
b754037949 account for changes in newer versions of Python's doctest module
[SVN r27576]
2005-03-08 14:31:12 +00:00
Stefan Slapeta
7bd76d869b Intel 9 workaround
[SVN r27517]
2005-02-28 12:14:13 +00:00
Rene Rivera
c25967a094 Apply typo fixes from Julio M. Merino Vidal
[SVN r27513]
2005-02-27 17:28:24 +00:00
Ralf W. Grosse-Kunstleve
bcb6370b0e fix for obviously broken class Rational example
[SVN r27457]
2005-02-20 23:05:14 +00:00
Jonathan Brandmeyer
17faf4504c Export the client-provided docstrings for init<optional<> > and
_FUNCTION_OVERLOADS() for only the last overload.


[SVN r27415]
2005-02-18 02:42:42 +00:00
Vladimir Prus
53c335f106 Remove unused references to Boost.Test.
[SVN r27390]
2005-02-15 14:43:25 +00:00
Vladimir Prus
cd8951439e More work on Boost.Python. Most tests now pass on Linux.
[SVN r27387]
2005-02-15 12:10:09 +00:00
Ralf W. Grosse-Kunstleve
0e5e2dc92e includes moved to satisfy the "Python.h first" requirement
[SVN r27386]
2005-02-15 10:41:03 +00:00
Jonathan Brandmeyer
4d50bf0ad9 Concatentation subsequent function docstrings rather than replace the original.
[SVN r27332]
2005-02-11 20:03:13 +00:00
Ralf W. Grosse-Kunstleve
1cfa79554d work around gcc problems (gcc 3.2.2 and higher); thanks to John Maddock for the patch!
[SVN r27142]
2005-02-05 07:36:14 +00:00
Jonathan Brandmeyer
567e620565 Match signatures with their mpl::true variants
[SVN r26829]
2005-01-24 02:37:37 +00:00
Jonathan Brandmeyer
5933fdbf39 Add docstring support for non-static properties.
[SVN r26814]
2005-01-22 21:41:37 +00:00
Dave Abrahams
4c21a29a9f Fix typos
[SVN r26644]
2005-01-08 02:13:13 +00:00
Dave Abrahams
7c21f3b48d Add fusion
[SVN r26628]
2005-01-04 23:50:07 +00:00
Dave Abrahams
6f4167700c tests for raw constructors
[SVN r26493]
2004-12-14 03:33:30 +00:00
Dave Abrahams
efae35bbd8 Add tests for raw constructors
[SVN r26407]
2004-12-03 08:00:11 +00:00
Ralf W. Grosse-Kunstleve
8dbd926d9e __DECCXX_VER test: use BOOST_WORKAROUND, BOOST_TESTED_AT instead of raw '#if defined'
[SVN r26363]
2004-11-29 21:32:14 +00:00
Aleksey Gurtovoy
c6e658cfca merge RC_1_32_0 fixes
[SVN r26333]
2004-11-28 04:44:21 +00:00
Aleksey Gurtovoy
b77dcf4bea merge RC_1_32_0 fixes
[SVN r26330]
2004-11-28 03:54:58 +00:00
Joel de Guzman
1e3cfbca03 fixes for the warnings.
[SVN r26290]
2004-11-25 09:17:04 +00:00
Dave Abrahams
1ed231747b update
[SVN r26254]
2004-11-19 14:17:02 +00:00
Joel de Guzman
a926eaa86d Merged from RC 1.32
[SVN r26224]
2004-11-16 07:29:41 +00:00
Ralf W. Grosse-Kunstleve
acd8ec2c31 adjustment for latest Tru64/cxx release (V6.5-042)
[SVN r26222]
2004-11-15 23:50:57 +00:00
Dave Abrahams
441a9dbea0 Stop reserving rights
[SVN r26089]
2004-11-02 20:07:50 +00:00
Dave Abrahams
63e92c49df Stop reserving rights.
[SVN r26088]
2004-11-02 19:46:47 +00:00
Dave Abrahams
49dd8bcf51 Stop reserving rights.
[SVN r26067]
2004-11-01 21:23:47 +00:00
Dave Abrahams
942f4c4ffd Fix bug in example.
[SVN r26049]
2004-11-01 14:17:00 +00:00
Dave Abrahams
43791f3a71 Remove qualification from member function name in overloads invocation.
[SVN r26047]
2004-11-01 14:15:08 +00:00
Dave Abrahams
321bea59fb tidy
[SVN r26026]
2004-11-01 00:21:27 +00:00
Dave Abrahams
601fd16cba add wrapper<T>
[SVN r26025]
2004-11-01 00:14:18 +00:00
Aleksey Gurtovoy
a9cddc10a9 refactor const_argument test to pass if there is a known workaround
[SVN r25924]
2004-10-29 03:19:27 +00:00
Bruno da Silva de Oliveira
03fc159aec no message
[SVN r25886]
2004-10-27 10:47:03 +00:00
Joel de Guzman
59b596e1ee license
[SVN r25867]
2004-10-26 00:13:19 +00:00
John Maddock
1fe6626edb BSL update based on permissions granted in blanket-permission.txt
[SVN r25863]
2004-10-25 11:58:45 +00:00
Aleksey Gurtovoy
fa8cffb3a2 taking care of const_argument test failures (see http://thread.gmane.org/gmane.comp.python.c++/7221)
[SVN r25848]
2004-10-24 07:28:34 +00:00
Joel de Guzman
11daf8dde8 fixed some links
[SVN r25772]
2004-10-18 11:58:55 +00:00
Joel de Guzman
0d6ac67c04 update to quickibook 1.0
[SVN r25771]
2004-10-18 11:29:52 +00:00
Joel de Guzman
978dc88499 Making space for update to quickbook 1.0
[SVN r25769]
2004-10-18 10:39:05 +00:00
Dave Abrahams
655868d803 Eliminate return from void function.
[SVN r25742]
2004-10-15 16:53:40 +00:00
Bruno da Silva de Oliveira
92ff4ab76f Applied patch by Christian Hudon
[SVN r25636]
2004-10-09 19:49:09 +00:00
Joel de Guzman
48a6db6598 redirect
[SVN r25582]
2004-10-06 23:56:05 +00:00
Dave Abrahams
a97d050016 Fixes from Christoph Ludwig <cludwig-at-cdc.informatik.tu-darmstadt.de>
[SVN r25577]
2004-10-05 20:41:12 +00:00
Dave Abrahams
e888d8aa88 Another fix.
[SVN r25576]
2004-10-05 20:40:28 +00:00
Aleksey Gurtovoy
59ca82128a c++boost.gif -> boost.png replacement
[SVN r25573]
2004-10-05 15:45:52 +00:00
Dave Abrahams
0620462efb Fixes from Christoph Ludwig <cludwig-at-cdc.informatik.tu-darmstadt.de>
[SVN r25571]
2004-10-05 14:35:31 +00:00
Stefan Slapeta
f99f1e187c Intel 8.1 workaround
[SVN r25529]
2004-10-02 19:14:52 +00:00
Dave Abrahams
937a851baa warning suppression for GCC
[SVN r25446]
2004-09-28 11:57:06 +00:00
Jonathan Brandmeyer
8e396f8e91 Add new test.
[SVN r25438]
2004-09-27 20:05:52 +00:00
Dave Abrahams
bd74676685 Work around the stupid VC++/Intel bug that retains argument constness in function signatures.
[SVN r25437]
2004-09-27 14:49:27 +00:00
Jonathan Brandmeyer
70e012bc45 Be more correct about testing for Intel 7.1 on MS Windows.
[SVN r25386]
2004-09-24 02:47:14 +00:00
Aleksey Gurtovoy
3bb3434a8d fix MSVC 6.x ICE in 'vector_indexing_suite.cpp'
[SVN r25343]
2004-09-22 16:54:04 +00:00
Dave Abrahams
2121039a2b Use proper configuration macros.
[SVN r25312]
2004-09-21 14:39:50 +00:00
Dave Abrahams
5bab5a2398 Fix GCC export limiting patch from Niall Douglas s_sourceforge-at-nedprod.com
[SVN r25279]
2004-09-20 13:59:59 +00:00
Dave Abrahams
2ca8be0bb2 vc6 workaround
[SVN r25278]
2004-09-20 13:45:52 +00:00
Dave Abrahams
227448f061 Fix #include
[SVN r25274]
2004-09-20 13:39:37 +00:00
Dave Abrahams
0b026dc5a2 Apply GCC export limiting patch from Niall Douglas s_sourceforge-at-nedprod.com
[SVN r25271]
2004-09-20 12:47:31 +00:00
Dave Abrahams
3ba268ed9c moved indirect_traits to boost/detail
[SVN r25237]
2004-09-20 02:50:29 +00:00
Joel de Guzman
c4b09c7526 move to quickbook (WIP)
[SVN r25137]
2004-09-16 05:51:33 +00:00
Joel de Guzman
164e517a54 move to quickbook (WIP)
[SVN r25136]
2004-09-16 05:47:55 +00:00
Dave Abrahams
fd75e791a7 moved indirect_traits to boost/detail
[SVN r25128]
2004-09-16 01:00:30 +00:00
Dave Abrahams
7eb9f910ba moved indirect_traits to boost/detail
[SVN r25127]
2004-09-16 00:47:59 +00:00
Dave Abrahams
78cd3298aa Move indirect_traits to boost/detail
[SVN r25124]
2004-09-15 19:35:10 +00:00
Dave Abrahams
2f5dfbb728 Move indirect_traits to boost/detail
[SVN r25117]
2004-09-15 15:00:12 +00:00
Dave Abrahams
3750668aad Add IPLT, alphabetized.
[SVN r25025]
2004-09-13 01:25:37 +00:00
Dave Abrahams
dc2acc5bf5 add proper default handling
[SVN r25017]
2004-09-11 14:53:05 +00:00
Douglas Gregor
f7db275bc4 License update
[SVN r24990]
2004-09-09 13:59:01 +00:00
Dave Abrahams
7171a34364 Daniel Holth's PyBool mods (dholth-at-fastmail.fm)
[SVN r24980]
2004-09-08 19:18:57 +00:00
Dave Abrahams
f1260e6869 cw ICE workaround
[SVN r24979]
2004-09-08 18:57:14 +00:00
Jonathan Brandmeyer
0b4f2bafe6 Take a shot at enabling the workaround for ICC 7.1 on Windows.
[SVN r24965]
2004-09-08 02:40:52 +00:00
Ralf W. Grosse-Kunstleve
c5cf576deb _DEBUG/BOOST_DEBUG_PYTHON/DEBUG_UNDEFINED_FROM_WRAP_PYTHON_H must appear before #include <pyconfig.h>
[SVN r24942]
2004-09-06 18:42:41 +00:00
Aleksey Gurtovoy
bfd7f71601 merge new MPL version from 'mplbook' branch
[SVN r24874]
2004-09-02 15:41:37 +00:00
Dave Abrahams
87718f91ab Bug fix from Francois Ostiguy <ostiguy-at-fnal.gov>, more similar ones from Dave.
[SVN r24855]
2004-09-01 20:27:47 +00:00
Ralf W. Grosse-Kunstleve
3918395715 always include <pyconfig.h> first
[SVN r24852]
2004-09-01 15:43:52 +00:00
Dave Abrahams
dec9c6d96e removed as defunct
[SVN r24841]
2004-08-31 22:11:37 +00:00
Jonathan Brandmeyer
0c651a890c Use the non-const prototype for all currently known versions of MSVC.
[SVN r24771]
2004-08-26 21:28:28 +00:00
Dave Abrahams
e00462992c Added default args
[SVN r24757]
2004-08-26 14:07:17 +00:00
Ralf W. Grosse-Kunstleve
951c65e5a1 Compaq C++ V6.5-041 still needs the offsetof workaround
[SVN r24732]
2004-08-25 21:50:52 +00:00
John Maddock
0f19b148f6 Converted files to the BSL.
[SVN r24614]
2004-08-20 11:10:24 +00:00
Joel de Guzman
c750be6fc6 fixed link to doc/quickstart.html
[SVN r24573]
2004-08-18 23:53:26 +00:00
Stefan Slapeta
d1003f08de Intel-win32 workaround
[SVN r24560]
2004-08-18 14:29:00 +00:00
Bruno da Silva de Oliveira
386c45fd4d - added copyright notice
[SVN r24521]
2004-08-17 01:51:29 +00:00
Dave Abrahams
725d203c32 Added missing license/copyright
[SVN r24484]
2004-08-15 12:34:39 +00:00
Dave Abrahams
07a14ce350 Clarify/don't abuse extract<>
[SVN r24436]
2004-08-12 14:27:40 +00:00
Joel de Guzman
77c2c8d77c Copyright and License
[SVN r24395]
2004-08-11 02:21:27 +00:00
Ralf W. Grosse-Kunstleve
9ea7f100cc Add license, copyright.
[SVN r24392]
2004-08-10 17:17:52 +00:00
Ralf W. Grosse-Kunstleve
51487a75e9 exercise keyword argument support
[SVN r24389]
2004-08-10 17:05:24 +00:00
Ralf W. Grosse-Kunstleve
500b8e190d support gcc 2.96 workaround (typedef arg arg_;)
[SVN r24388]
2004-08-10 17:04:14 +00:00
Ralf W. Grosse-Kunstleve
9102c12c6d bug fix: make use of kw in make_constructor_aux
[SVN r24387]
2004-08-10 17:03:23 +00:00
Dave Abrahams
cb45ee8879 Add license, copyright.
[SVN r24386]
2004-08-10 16:14:51 +00:00
Dave Abrahams
ecae47236e Add license, copyright.
[SVN r24380]
2004-08-10 14:59:58 +00:00
Jonathan Brandmeyer
d0ca0886bb Add missing copyright notice using the Boost Software License.
[SVN r24377]
2004-08-10 14:41:06 +00:00
Dave Abrahams
18411f4b5f Optimization bug fix from Stefan Seefeld (sseefeld-at-art.ca)
[SVN r24357]
2004-08-09 17:43:02 +00:00
Dave Abrahams
2c383e7216 Workaround bogus GCC warning.
[SVN r24306]
2004-08-05 16:57:10 +00:00
Dave Abrahams
cac6d3e5ac Made Python testing more verbose by default
Avoid using the Boost.Test library wherever possible.


[SVN r24249]
2004-08-02 19:31:59 +00:00
Dave Abrahams
bd985d67d8 Made Python testing more verbose by default
Avoid using the Boost.Test library wherever possible.


[SVN r24248]
2004-08-02 18:47:50 +00:00
Joel de Guzman
6f0a70fa66 minor updates
[SVN r24135]
2004-07-28 02:36:18 +00:00
Ralf W. Grosse-Kunstleve
cbe6de2a2d fixes to avoid EDG 245 warnings (by Jonathan Brandmeyer)
[SVN r24130]
2004-07-28 01:45:50 +00:00
Ralf W. Grosse-Kunstleve
4885d65ec9 redundant else commented out to avoid EDG 245 warnings
[SVN r24106]
2004-07-27 07:11:10 +00:00
Ralf W. Grosse-Kunstleve
047896ac16 fix for char* -> const char* conversion (g++ diagnostic)
[SVN r24105]
2004-07-27 07:10:16 +00:00
Ralf W. Grosse-Kunstleve
fbe3a563c3 avoid "incomplete type" error (EDG 245 diagnostic)
[SVN r24104]
2004-07-27 07:08:53 +00:00
Ralf W. Grosse-Kunstleve
0c453fda0b MIPSpro 7.3.1.x workaround
[SVN r24103]
2004-07-27 07:08:08 +00:00
Ralf W. Grosse-Kunstleve
a1f74e9c63 guard non-const prototype with BOOST_WORKAROUND(BOOST_MSVC, <= 1300)
[SVN r24102]
2004-07-27 07:06:40 +00:00
Jonathan Brandmeyer
763fa1cf0c Silence warning from EDG 245 (Tru64 cxx 6.5)
[SVN r24092]
2004-07-26 23:29:49 +00:00
Dave Abrahams
c8e8ccfa22 New-style polymorphism
[SVN r24083]
2004-07-26 15:34:36 +00:00
Dave Abrahams
597342bf15 Suppress warnings for intel 8
[SVN r24082]
2004-07-26 15:13:05 +00:00
Dave Abrahams
8338b2fb49 Stop using "not"
[SVN r24081]
2004-07-26 14:27:17 +00:00
Douglas Gregor
fed0b09c4e Converted to Boost Software License, Version 1.0
[SVN r24055]
2004-07-26 00:32:12 +00:00
Rene Rivera
3e76482713 Remove tabs in file.
[SVN r24043]
2004-07-25 17:12:17 +00:00
Ralf W. Grosse-Kunstleve
d6325d902e workaround for MIPSpro 7.3.1.3 name lookup problem
[SVN r23825]
2004-07-20 05:12:33 +00:00
Dave Abrahams
615adc5fe6 Make slice work on vc6
Revamp/simplify class registration


[SVN r23823]
2004-07-20 03:16:49 +00:00
Dave Abrahams
2bdb728e87 A few corrections
[SVN r23735]
2004-07-18 21:54:58 +00:00
Jonathan Brandmeyer
5e82d653a1 Correct the documentation to specify that has_back_reference<> must be a
metafunction rather than a traits class.
Correct typos in the example.


[SVN r23730]
2004-07-18 17:53:28 +00:00
Bruno da Silva de Oliveira
27653b7fbf - Applied a patch by Paul Bridger that solves some problems for wrapper
methods.
- Applied a patch by Baptiste Lepilleur that allows the user to inject
code inside the class definition.
- Applied another patch by Baptiste Lepilleur that inserts two new command-line
options that helps with writing makefiles.


[SVN r23725]
2004-07-18 15:50:10 +00:00
Rene Rivera
af1530953e Move dllexport declaration from methods to slice class as mingw can't handle it. Resolves bug #952335.
[SVN r23464]
2004-07-12 13:07:17 +00:00
Ralf W. Grosse-Kunstleve
87290af774 workaround for broken gcc that ships with SuSE 9.0 and SuSE 9.1
[SVN r23411]
2004-07-09 04:53:39 +00:00
Jonathan Brandmeyer
8469d7727d Add a small set of test cases for slice::get_indicies().
Promote slice::start(), slice::stop(), slice::step, and
slice::get_indicies() to const.
Fix typos in the documentation.


[SVN r23408]
2004-07-08 17:29:51 +00:00
Ralf W. Grosse-Kunstleve
44e9ffc5ca correction as per Niall
[SVN r23386]
2004-07-06 22:44:33 +00:00
Vladimir Prus
2e86d1f9bb Remove debug print
[SVN r23368]
2004-07-06 11:27:54 +00:00
Ralf W. Grosse-Kunstleve
112c999818 obtain correct class name via cl.attr("__name__")
[SVN r23359]
2004-07-06 04:36:50 +00:00
Ralf W. Grosse-Kunstleve
858e5e9720 boost/python/detail/prefix.hpp must be included first to satisfy Python requirements; this fixes compilation errors under Tru64 Unix and IRIX using Python 2.3.4
[SVN r23334]
2004-07-04 07:08:54 +00:00
Jonathan Brandmeyer
f2f7b10d15 Revert last change since it was the documentation that was in error.
[SVN r23326]
2004-07-03 17:19:51 +00:00
Jonathan Brandmeyer
4e3c2f237c Correct the documentation with regard to the default backend for the
numeric::array class.


[SVN r23325]
2004-07-03 17:17:56 +00:00
Jonathan Brandmeyer
c246e918f4 Use Numeric.ArrayType in preference to numarray.NDArray, in accordance
with the documentation.


[SVN r23320]
2004-07-03 03:54:35 +00:00
Eric Niebler
b76f185cb6 move BOOST_USING_STD_MIN and _MAX and BOOST_PREVENT_MACRO_SUBSTITUTION to the config headers, remove boost/minmax.hpp, update coding guidelines
[SVN r23313]
2004-07-02 01:21:32 +00:00
Eric Niebler
9d7097177d remove std_min and std_max, update minmax coding guidelines
[SVN r23162]
2004-06-23 04:49:48 +00:00
Ralf W. Grosse-Kunstleve
c6587596b1 unused variable names removed to avoid warning messages (Giulio Eulisse)
[SVN r23080]
2004-06-11 00:11:11 +00:00
Ralf W. Grosse-Kunstleve
b661aad9ac work around MIPSpro 7.41 problems
[SVN r23079]
2004-06-11 00:07:55 +00:00
Joel de Guzman
ca0a0a4a3d [bug fix] added boost::noncopyable to class_ Base
[SVN r23049]
2004-06-08 01:47:30 +00:00
Bruno da Silva de Oliveira
a9cd67873c - fixes module name if run from another directory where the .pyste file is located
[SVN r22977]
2004-05-30 23:14:10 +00:00
Bruno da Silva de Oliveira
b58812e7f1 Applied a patch by Roman Yakovenko that makes the export of unnamed enums
better.


[SVN r22852]
2004-05-17 22:46:43 +00:00
Joel de Guzman
9e2b4380d5 ADL bug-fix
[SVN r22730]
2004-05-04 10:19:33 +00:00
Joel de Guzman
8ae8430e7c ADL bug-fix
[SVN r22729]
2004-05-04 09:41:01 +00:00
Dave Abrahams
2ee25fda61 Added missing const to prevent spurious static asserts
[SVN r22719]
2004-05-01 17:37:15 +00:00
Ralf W. Grosse-Kunstleve
e766286d92 use BOOST_WORKAROUND
[SVN r22640]
2004-04-15 16:24:03 +00:00
Ralf W. Grosse-Kunstleve
4df59a752a make the test work under 64-bit operating systems
[SVN r22639]
2004-04-15 16:15:41 +00:00
Ralf W. Grosse-Kunstleve
e0bf57ae36 workaround for MIPSpro
[SVN r22638]
2004-04-15 15:16:15 +00:00
Ralf W. Grosse-Kunstleve
5df66bb179 adjusted #ifdef's for Compaq C++ V6.5-040 for Compaq Tru64 UNIX
[SVN r22637]
2004-04-15 14:59:31 +00:00
Ralf W. Grosse-Kunstleve
b5256ef70b adjusted #ifdef's for Compaq C++ V6.5-040 for Compaq Tru64 UNIX
[SVN r22636]
2004-04-15 14:17:09 +00:00
Dave Abrahams
6c8fec96b6 Tweaks prompted by Faheem Mitha
[SVN r22632]
2004-04-13 12:19:15 +00:00
Dave Abrahams
cd139bd4ec Fixes prompted by Faheem Mitha
[SVN r22631]
2004-04-13 12:14:10 +00:00
Dave Abrahams
17b0c819e4 improved comments in-line
[SVN r22628]
2004-04-11 12:07:18 +00:00
Joel de Guzman
79c7d736f0 embedding tutorial updates
[SVN r22618]
2004-04-07 07:33:57 +00:00
Joel de Guzman
b627f93cf1 embedding tutorial updates
[SVN r22616]
2004-04-07 02:26:36 +00:00
Joel de Guzman
7d632ab3dd added test for embedding tutorial
[SVN r22614]
2004-04-07 01:32:53 +00:00
Bruno da Silva de Oliveira
bdf80a683c - removed exporters.importing mechanism, because this was causing a serious bug that was preventing the bases code to be generated
[SVN r22613]
2004-04-06 22:53:38 +00:00
Joel de Guzman
ed7292abd3 added test for embedding tutorial
[SVN r22609]
2004-04-06 11:50:20 +00:00
Joel de Guzman
e92f042677 additional constructor in BaseWrap
[SVN r22604]
2004-04-05 09:34:32 +00:00
Joel de Guzman
53cf9e7422 Typo
[SVN r22603]
2004-04-05 09:21:45 +00:00
Dave Abrahams
954afd78b2 Added Vega Strike
[SVN r22583]
2004-04-02 20:04:22 +00:00
Dave Abrahams
957ad2b4b1 Adjust to make the tutorial work
[SVN r22568]
2004-03-30 23:14:47 +00:00
Jonathan Brandmeyer
7187c6132a Throw an IndexError when given an extended slice;
Clip bounds of slices in a mannar consistant with builtin containers;
Prevent undefined behavior within the STL when given certain kinds of
empty slices.


[SVN r22507]
2004-03-17 03:15:35 +00:00
Dave Abrahams
b3f0d7c756 Fix bad "fix".
[SVN r22495]
2004-03-13 01:47:35 +00:00
Dave Abrahams
0cdfdee18f *** empty log message ***
[SVN r22492]
2004-03-12 22:34:43 +00:00
Ralf W. Grosse-Kunstleve
a283f56d05 define BOOST_PYTHON_TYPE_ID_NAME for Linux Intel C++
[SVN r22491]
2004-03-12 18:43:08 +00:00
Dave Abrahams
e6fd78ce93 Fixes for auto_ptr handling
[SVN r22490]
2004-03-12 15:22:16 +00:00
Dave Abrahams
aeed5f029e Use mpl::next to prepare for the next release of MPL
[SVN r22485]
2004-03-12 13:10:40 +00:00
Bruno da Silva de Oliveira
04484d55de - Fixed bug with exception declarations
[SVN r22459]
2004-03-09 01:01:29 +00:00
Jonathan Brandmeyer
476cba228d Changes to support MSVC 6.0.
[SVN r22430]
2004-03-04 16:42:56 +00:00
Eric Niebler
115f9f0644 remove minmax hack from win32.hpp and fix all places that could be affected by the minmax macros
[SVN r22394]
2004-02-26 18:27:02 +00:00
Daniel Wallin
a9c2a95366 boost logo css class
[SVN r22352]
2004-02-21 18:42:52 +00:00
Bruno da Silva de Oliveira
29f3891a68 - Generates the unique number for UniqueInt using the hash of the filename
[SVN r22329]
2004-02-19 22:26:54 +00:00
Bruno da Silva de Oliveira
7b602ef607 - now warns that AllFromHeader is not working in all cases
[SVN r22316]
2004-02-18 22:32:58 +00:00
Bruno da Silva de Oliveira
15e555c7f1 - Fixed UniqueInt bug across different compilation units.
[SVN r22315]
2004-02-18 22:28:28 +00:00
Bruno da Silva de Oliveira
f4fb49d32f - reverted previous commit
[SVN r22313]
2004-02-18 15:33:34 +00:00
Bruno da Silva de Oliveira
89be2fb736 - no_init is now generated for abstract classes
[SVN r22312]
2004-02-18 15:27:59 +00:00
Ralf W. Grosse-Kunstleve
62f0885852 Requires: n/a removed
[SVN r22257]
2004-02-13 18:20:43 +00:00
Ralf W. Grosse-Kunstleve
355e155e69 gcc 3.4 from gcc.gnu.org still suffers from the old static initialization bug under Mac OS 10: workaround adjusted accordingly
[SVN r22255]
2004-02-13 07:10:59 +00:00
Ralf W. Grosse-Kunstleve
ae1584ff3c class_::enable_pickling() in publicized interface; tested with everything incl. VC6 and 7.0
[SVN r22254]
2004-02-13 05:32:38 +00:00
Jonathan Brandmeyer
4a7686cd33 Check rich slicing of Numeric arrays only if Numeric or numarray is
installed.


[SVN r22252]
2004-02-13 02:07:21 +00:00
Jonathan Brandmeyer
799eeb0cb8 Fix a build error on Tru64. Thanks to Ralf W. Grosse-Kunstleve for this
fix.


[SVN r22250]
2004-02-12 23:09:10 +00:00
Jonathan Brandmeyer
8452e275d0 New implementation, tests, and documentation for a PySliceObject
objectmanager.


[SVN r22192]
2004-02-07 21:38:24 +00:00
Joel de Guzman
53268000e7 small typo
[SVN r22067]
2004-01-30 06:15:32 +00:00
Dave Abrahams
52febfe3fc Improved and alphabetized news format, added Python news, updated
iterator news.

Corrections in the Python documentation


[SVN r22039]
2004-01-29 03:34:23 +00:00
Dave Abrahams
8fcfed495a Fixes for intel-linux
added <default> feature handling for specifying build defaults in requirement sets.


[SVN r22027]
2004-01-28 22:50:18 +00:00
Joel de Guzman
2dfe76b082 small typo
[SVN r22026]
2004-01-28 22:45:35 +00:00
Ralf W. Grosse-Kunstleve
11d8751d29 workaround for gcc 3.4 bug when using precompiled header support
[SVN r21715]
2004-01-14 01:37:54 +00:00
Ralf W. Grosse-Kunstleve
b03c3a29e0 previous revision (1.10) of this file restored because http://gcc.gnu.org/bugzilla/show_bug.cgi?id=13530 is fixed
[SVN r21633]
2004-01-12 18:02:28 +00:00
Joel de Guzman
53e8982e05 fix typo
[SVN r21571]
2004-01-10 02:53:06 +00:00
Ralf W. Grosse-Kunstleve
4a30841ad8 fix for Tru64 cxx problems incl. workaround for gcc 2.96 problems; patch by David Abrahams; thanks Dave!
[SVN r21558]
2004-01-09 07:25:17 +00:00
Dave Abrahams
234ebadb8d pro9 workarounds; some ADL protection for is_xxx
[SVN r21529]
2004-01-07 14:07:21 +00:00
Dave Abrahams
11ee20fa36 Test full slicing.
[SVN r21497]
2004-01-05 12:34:25 +00:00
Dave Abrahams
440599545f Workaround for gcc-3.4 quirks
[SVN r21493]
2004-01-05 11:46:30 +00:00
Dave Abrahams
44ba088cb4 Fix problem with [:] slices on python::objects
[SVN r21472]
2004-01-04 13:41:00 +00:00
Dave Abrahams
08d3798722 .
[SVN r21449]
2004-01-02 18:34:17 +00:00
Ralf W. Grosse-Kunstleve
56ff8e438e fix use of incomplete type (Tru64 cxx diagnostic)
[SVN r21444]
2004-01-02 08:31:21 +00:00
Dave Abrahams
3590a3589d Fix 2-phase lookup bug
[SVN r21442]
2004-01-01 12:46:04 +00:00
Dave Abrahams
7674c82e1f Fix bug with (arg("x"), "y") construct.
[SVN r21437]
2003-12-31 19:20:31 +00:00
Ralf W. Grosse-Kunstleve
b93b21a7f2 work around Visual C++ 6 internal compiler errors
[SVN r21435]
2003-12-31 17:18:03 +00:00
Ralf W. Grosse-Kunstleve
f53925848c work around g++ (GCC) 3.4.0 20031230 (experimental) internal compiler error
[SVN r21432]
2003-12-31 09:37:31 +00:00
Dave Abrahams
eedc88b56a Bug fixes in property handling
[SVN r21429]
2003-12-31 00:23:52 +00:00
624 changed files with 10525 additions and 11390 deletions

View File

@@ -34,6 +34,7 @@ if [ check-python-config ]
dict.cpp
tuple.cpp
str.cpp
slice.cpp
aix_init_module.cpp
converter/from_python.cpp
@@ -52,6 +53,7 @@ if [ check-python-config ]
object/iterator.cpp
object_protocol.cpp
object_operators.cpp
wrapper.cpp
;
dll boost_python
@@ -61,6 +63,7 @@ if [ check-python-config ]
$(bpl-linkflags)
<msvc-stlport><release>$(msvc-stlport-workarounds)
<darwin><*><linkflags>-bind_at_load
<gcc-3_3-darwin><*><linkflags>-bind_at_load
;
template extension

View File

@@ -1,68 +1,39 @@
import os ;
import modules ;
# Use a very crude way to sense there python is locatted
import python ;
local PYTHON_PATH = [ modules.peek : PYTHON_PATH ] ;
ECHO "XXX" $(PYTHON_PATH) ;
if [ GLOB /usr/local/include/python2.2 : * ]
{
PYTHON_PATH = /usr/local ;
}
else if [ GLOB /usr/include/python2.2 : * ]
{
PYTHON_PATH = /usr ;
}
if [ os.name ] in CYGWIN NT
{
lib_condition = <link>shared: ;
defines = USE_DL_IMPORT ;
# Declare a target for the python interpreter library
lib python : : <name>python22 <search>$(PYTHON_PATH)/libs ;
PYTHON_LIB = python ;
}
else
{
lib python : : <name>python2.2 ;
PYTHON_LIB = python ;
}
if $(PYTHON_PATH) {
if [ python.configured ] {
project boost/python
: source-location ../src
: requirements <include>$(PYTHON_PATH)/include
$(lib_condition)<library-path>$(PYTHON_PATH)/libs
<link>shared:<library>$(PYTHON_LIB)
<define>$(defines)
: usage-requirements # requirement that will be propageted to *users* of this library
<include>$(PYTHON_PATH)/include
: requirements
#<include>$(PYTHON_PATH)/include
# $(lib_condition)<library-path>$(PYTHON_PATH)/libs
# <link>shared:<library>$(PYTHON_LIB)
# <define>$(defines)
#: usage-requirements # requirement that will be propageted to *users* of this library
# <include>$(PYTHON_PATH)/include
# We have a bug which causes us to conclude that conditionalized
# properties in this section are not free.
# $(lib_condition)<library-path>$(PYTHON_PATH)/lib/python2.2/config
# <shared>true:<find-library>$(PYTHON_LIB)
<library-path>$(PYTHON_PATH)/lib/python2.2/config
<library>$(PYTHON_LIB)
# <library-path>$(PYTHON_PATH)/lib/python2.2/config
# <library>$(PYTHON_LIB)
;
lib boost_python
:
numeric.cpp
list.cpp
long.cpp
dict.cpp
tuple.cpp
str.cpp
slice.cpp
aix_init_module.cpp
converter/from_python.cpp
@@ -81,8 +52,15 @@ lib boost_python
object/iterator.cpp
object_protocol.cpp
object_operators.cpp
wrapper.cpp
: <link>static:<define>BOOST_PYTHON_STATIC_LIB
<define>BOOST_PYTHON_SOURCE
<library>/python//python
: <link>shared
;
;
}
else
{
ECHO "warning: Python location is not configured" ;
ECHO "warning: the Boost.Python library won't be built" ;
}

View File

@@ -175,6 +175,10 @@ SOURCE=..\..\src\converter\registry.cpp
# End Source File
# Begin Source File
SOURCE=..\..\src\slice.cpp
# End Source File
# Begin Source File
SOURCE=..\..\src\str.cpp
# End Source File
# Begin Source File
@@ -185,6 +189,10 @@ SOURCE=..\..\src\tuple.cpp
SOURCE=..\..\src\converter\type_id.cpp
# End Source File
# Begin Source File
SOURCE=..\..\src\wrapper.cpp
# End Source File
# End Group
# Begin Group "Header Files"

File diff suppressed because it is too large Load Diff

Binary file not shown.

View File

@@ -1,947 +1 @@
+++++++++++++++++++++++++++++++++++++++++++
Building Hybrid Systems with Boost.Python
+++++++++++++++++++++++++++++++++++++++++++
:Author: David Abrahams
:Contact: dave@boost-consulting.com
:organization: `Boost Consulting`_
:date: $Date$
:Author: Ralf W. Grosse-Kunstleve
:copyright: Copyright David Abrahams and Ralf W. Grosse-Kunstleve 2003. All rights reserved
.. contents:: Table of Contents
.. _`Boost Consulting`: http://www.boost-consulting.com
==========
Abstract
==========
Boost.Python is an open source C++ library which provides a concise
IDL-like interface for binding C++ classes and functions to
Python. Leveraging the full power of C++ compile-time introspection
and of recently developed metaprogramming techniques, this is achieved
entirely in pure C++, without introducing a new syntax.
Boost.Python's rich set of features and high-level interface make it
possible to engineer packages from the ground up as hybrid systems,
giving programmers easy and coherent access to both the efficient
compile-time polymorphism of C++ and the extremely convenient run-time
polymorphism of Python.
==============
Introduction
==============
Python and C++ are in many ways as different as two languages could
be: while C++ is usually compiled to machine-code, Python is
interpreted. Python's dynamic type system is often cited as the
foundation of its flexibility, while in C++ static typing is the
cornerstone of its efficiency. C++ has an intricate and difficult
compile-time meta-language, while in Python, practically everything
happens at runtime.
Yet for many programmers, these very differences mean that Python and
C++ complement one another perfectly. Performance bottlenecks in
Python programs can be rewritten in C++ for maximal speed, and
authors of powerful C++ libraries choose Python as a middleware
language for its flexible system integration capabilities.
Furthermore, the surface differences mask some strong similarities:
* 'C'-family control structures (if, while, for...)
* Support for object-orientation, functional programming, and generic
programming (these are both *multi-paradigm* programming languages.)
* Comprehensive operator overloading facilities, recognizing the
importance of syntactic variability for readability and
expressivity.
* High-level concepts such as collections and iterators.
* High-level encapsulation facilities (C++: namespaces, Python: modules)
to support the design of re-usable libraries.
* Exception-handling for effective management of error conditions.
* C++ idioms in common use, such as handle/body classes and
reference-counted smart pointers mirror Python reference semantics.
Given Python's rich 'C' interoperability API, it should in principle
be possible to expose C++ type and function interfaces to Python with
an analogous interface to their C++ counterparts. However, the
facilities provided by Python alone for integration with C++ are
relatively meager. Compared to C++ and Python, 'C' has only very
rudimentary abstraction facilities, and support for exception-handling
is completely missing. 'C' extension module writers are required to
manually manage Python reference counts, which is both annoyingly
tedious and extremely error-prone. Traditional extension modules also
tend to contain a great deal of boilerplate code repetition which
makes them difficult to maintain, especially when wrapping an evolving
API.
These limitations have lead to the development of a variety of wrapping
systems. SWIG_ is probably the most popular package for the
integration of C/C++ and Python. A more recent development is SIP_,
which was specifically designed for interfacing Python with the Qt_
graphical user interface library. Both SWIG and SIP introduce their
own specialized languages for customizing inter-language bindings.
This has certain advantages, but having to deal with three different
languages (Python, C/C++ and the interface language) also introduces
practical and mental difficulties. The CXX_ package demonstrates an
interesting alternative. It shows that at least some parts of
Python's 'C' API can be wrapped and presented through a much more
user-friendly C++ interface. However, unlike SWIG and SIP, CXX does
not include support for wrapping C++ classes as new Python types.
The features and goals of Boost.Python_ overlap significantly with
many of these other systems. That said, Boost.Python attempts to
maximize convenience and flexibility without introducing a separate
wrapping language. Instead, it presents the user with a high-level
C++ interface for wrapping C++ classes and functions, managing much of
the complexity behind-the-scenes with static metaprogramming.
Boost.Python also goes beyond the scope of earlier systems by
providing:
* Support for C++ virtual functions that can be overridden in Python.
* Comprehensive lifetime management facilities for low-level C++
pointers and references.
* Support for organizing extensions as Python packages,
with a central registry for inter-language type conversions.
* A safe and convenient mechanism for tying into Python's powerful
serialization engine (pickle).
* Coherence with the rules for handling C++ lvalues and rvalues that
can only come from a deep understanding of both the Python and C++
type systems.
The key insight that sparked the development of Boost.Python is that
much of the boilerplate code in traditional extension modules could be
eliminated using C++ compile-time introspection. Each argument of a
wrapped C++ function must be extracted from a Python object using a
procedure that depends on the argument type. Similarly the function's
return type determines how the return value will be converted from C++
to Python. Of course argument and return types are part of each
function's type, and this is exactly the source from which
Boost.Python deduces most of the information required.
This approach leads to *user guided wrapping*: as much information is
extracted directly from the source code to be wrapped as is possible
within the framework of pure C++, and some additional information is
supplied explicitly by the user. Mostly the guidance is mechanical
and little real intervention is required. Because the interface
specification is written in the same full-featured language as the
code being exposed, the user has unprecedented power available when
she does need to take control.
.. _Python: http://www.python.org/
.. _SWIG: http://www.swig.org/
.. _SIP: http://www.riverbankcomputing.co.uk/sip/index.php
.. _Qt: http://www.trolltech.com/
.. _CXX: http://cxx.sourceforge.net/
.. _Boost.Python: http://www.boost.org/libs/python/doc
===========================
Boost.Python Design Goals
===========================
The primary goal of Boost.Python is to allow users to expose C++
classes and functions to Python using nothing more than a C++
compiler. In broad strokes, the user experience should be one of
directly manipulating C++ objects from Python.
However, it's also important not to translate all interfaces *too*
literally: the idioms of each language must be respected. For
example, though C++ and Python both have an iterator concept, they are
expressed very differently. Boost.Python has to be able to bridge the
interface gap.
It must be possible to insulate Python users from crashes resulting
from trivial misuses of C++ interfaces, such as accessing
already-deleted objects. By the same token the library should
insulate C++ users from low-level Python 'C' API, replacing
error-prone 'C' interfaces like manual reference-count management and
raw ``PyObject`` pointers with more-robust alternatives.
Support for component-based development is crucial, so that C++ types
exposed in one extension module can be passed to functions exposed in
another without loss of crucial information like C++ inheritance
relationships.
Finally, all wrapping must be *non-intrusive*, without modifying or
even seeing the original C++ source code. Existing C++ libraries have
to be wrappable by third parties who only have access to header files
and binaries.
==========================
Hello Boost.Python World
==========================
And now for a preview of Boost.Python, and how it improves on the raw
facilities offered by Python. Here's a function we might want to
expose::
char const* greet(unsigned x)
{
static char const* const msgs[] = { "hello", "Boost.Python", "world!" };
if (x > 2)
throw std::range_error("greet: index out of range");
return msgs[x];
}
To wrap this function in standard C++ using the Python 'C' API, we'd
need something like this::
extern "C" // all Python interactions use 'C' linkage and calling convention
{
// Wrapper to handle argument/result conversion and checking
PyObject* greet_wrap(PyObject* args, PyObject * keywords)
{
int x;
if (PyArg_ParseTuple(args, "i", &x)) // extract/check arguments
{
char const* result = greet(x); // invoke wrapped function
return PyString_FromString(result); // convert result to Python
}
return 0; // error occurred
}
// Table of wrapped functions to be exposed by the module
static PyMethodDef methods[] = {
{ "greet", greet_wrap, METH_VARARGS, "return one of 3 parts of a greeting" }
, { NULL, NULL, 0, NULL } // sentinel
};
// module initialization function
DL_EXPORT init_hello()
{
(void) Py_InitModule("hello", methods); // add the methods to the module
}
}
Now here's the wrapping code we'd use to expose it with Boost.Python::
#include <boost/python.hpp>
using namespace boost::python;
BOOST_PYTHON_MODULE(hello)
{
def("greet", greet, "return one of 3 parts of a greeting");
}
and here it is in action::
>>> import hello
>>> for x in range(3):
... print hello.greet(x)
...
hello
Boost.Python
world!
Aside from the fact that the 'C' API version is much more verbose,
it's worth noting a few things that it doesn't handle correctly:
* The original function accepts an unsigned integer, and the Python
'C' API only gives us a way of extracting signed integers. The
Boost.Python version will raise a Python exception if we try to pass
a negative number to ``hello.greet``, but the other one will proceed
to do whatever the C++ implementation does when converting an
negative integer to unsigned (usually wrapping to some very large
number), and pass the incorrect translation on to the wrapped
function.
* That brings us to the second problem: if the C++ ``greet()``
function is called with a number greater than 2, it will throw an
exception. Typically, if a C++ exception propagates across the
boundary with code generated by a 'C' compiler, it will cause a
crash. As you can see in the first version, there's no C++
scaffolding there to prevent this from happening. Functions wrapped
by Boost.Python automatically include an exception-handling layer
which protects Python users by translating unhandled C++ exceptions
into a corresponding Python exception.
* A slightly more-subtle limitation is that the argument conversion
used in the Python 'C' API case can only get that integer ``x`` in
*one way*. PyArg_ParseTuple can't convert Python ``long`` objects
(arbitrary-precision integers) which happen to fit in an ``unsigned
int`` but not in a ``signed long``, nor will it ever handle a
wrapped C++ class with a user-defined implicit ``operator unsigned
int()`` conversion. Boost.Python's dynamic type conversion
registry allows users to add arbitrary conversion methods.
==================
Library Overview
==================
This section outlines some of the library's major features. Except as
neccessary to avoid confusion, details of library implementation are
omitted.
------------------
Exposing Classes
------------------
C++ classes and structs are exposed with a similarly-terse interface.
Given::
struct World
{
void set(std::string msg) { this->msg = msg; }
std::string greet() { return msg; }
std::string msg;
};
The following code will expose it in our extension module::
#include <boost/python.hpp>
BOOST_PYTHON_MODULE(hello)
{
class_<World>("World")
.def("greet", &World::greet)
.def("set", &World::set)
;
}
Although this code has a certain pythonic familiarity, people
sometimes find the syntax bit confusing because it doesn't look like
most of the C++ code they're used to. All the same, this is just
standard C++. Because of their flexible syntax and operator
overloading, C++ and Python are great for defining domain-specific
(sub)languages
(DSLs), and that's what we've done in Boost.Python. To break it down::
class_<World>("World")
constructs an unnamed object of type ``class_<World>`` and passes
``"World"`` to its constructor. This creates a new-style Python class
called ``World`` in the extension module, and associates it with the
C++ type ``World`` in the Boost.Python type conversion registry. We
might have also written::
class_<World> w("World");
but that would've been more verbose, since we'd have to name ``w``
again to invoke its ``def()`` member function::
w.def("greet", &World::greet)
There's nothing special about the location of the dot for member
access in the original example: C++ allows any amount of whitespace on
either side of a token, and placing the dot at the beginning of each
line allows us to chain as many successive calls to member functions
as we like with a uniform syntax. The other key fact that allows
chaining is that ``class_<>`` member functions all return a reference
to ``*this``.
So the example is equivalent to::
class_<World> w("World");
w.def("greet", &World::greet);
w.def("set", &World::set);
It's occasionally useful to be able to break down the components of a
Boost.Python class wrapper in this way, but the rest of this article
will stick to the terse syntax.
For completeness, here's the wrapped class in use: ::
>>> import hello
>>> planet = hello.World()
>>> planet.set('howdy')
>>> planet.greet()
'howdy'
Constructors
============
Since our ``World`` class is just a plain ``struct``, it has an
implicit no-argument (nullary) constructor. Boost.Python exposes the
nullary constructor by default, which is why we were able to write: ::
>>> planet = hello.World()
However, well-designed classes in any language may require constructor
arguments in order to establish their invariants. Unlike Python,
where ``__init__`` is just a specially-named method, In C++
constructors cannot be handled like ordinary member functions. In
particular, we can't take their address: ``&World::World`` is an
error. The library provides a different interface for specifying
constructors. Given::
struct World
{
World(std::string msg); // added constructor
...
we can modify our wrapping code as follows::
class_<World>("World", init<std::string>())
...
of course, a C++ class may have additional constructors, and we can
expose those as well by passing more instances of ``init<...>`` to
``def()``::
class_<World>("World", init<std::string>())
.def(init<double, double>())
...
Boost.Python allows wrapped functions, member functions, and
constructors to be overloaded to mirror C++ overloading.
Data Members and Properties
===========================
Any publicly-accessible data members in a C++ class can be easily
exposed as either ``readonly`` or ``readwrite`` attributes::
class_<World>("World", init<std::string>())
.def_readonly("msg", &World::msg)
...
and can be used directly in Python: ::
>>> planet = hello.World('howdy')
>>> planet.msg
'howdy'
This does *not* result in adding attributes to the ``World`` instance
``__dict__``, which can result in substantial memory savings when
wrapping large data structures. In fact, no instance ``__dict__``
will be created at all unless attributes are explicitly added from
Python. Boost.Python owes this capability to the new Python 2.2 type
system, in particular the descriptor interface and ``property`` type.
In C++, publicly-accessible data members are considered a sign of poor
design because they break encapsulation, and style guides usually
dictate the use of "getter" and "setter" functions instead. In
Python, however, ``__getattr__``, ``__setattr__``, and since 2.2,
``property`` mean that attribute access is just one more
well-encapsulated syntactic tool at the programmer's disposal.
Boost.Python bridges this idiomatic gap by making Python ``property``
creation directly available to users. If ``msg`` were private, we
could still expose it as attribute in Python as follows::
class_<World>("World", init<std::string>())
.add_property("msg", &World::greet, &World::set)
...
The example above mirrors the familiar usage of properties in Python
2.2+: ::
>>> class World(object):
... __init__(self, msg):
... self.__msg = msg
... def greet(self):
... return self.__msg
... def set(self, msg):
... self.__msg = msg
... msg = property(greet, set)
Operator Overloading
====================
The ability to write arithmetic operators for user-defined types has
been a major factor in the success of both languages for numerical
computation, and the success of packages like NumPy_ attests to the
power of exposing operators in extension modules. Boost.Python
provides a concise mechanism for wrapping operator overloads. The
example below shows a fragment from a wrapper for the Boost rational
number library::
class_<rational<int> >("rational_int")
.def(init<int, int>()) // constructor, e.g. rational_int(3,4)
.def("numerator", &rational<int>::numerator)
.def("denominator", &rational<int>::denominator)
.def(-self) // __neg__ (unary minus)
.def(self + self) // __add__ (homogeneous)
.def(self * self) // __mul__
.def(self + int()) // __add__ (heterogenous)
.def(int() + self) // __radd__
...
The magic is performed using a simplified application of "expression
templates" [VELD1995]_, a technique originally developed for
optimization of high-performance matrix algebra expressions. The
essence is that instead of performing the computation immediately,
operators are overloaded to construct a type *representing* the
computation. In matrix algebra, dramatic optimizations are often
available when the structure of an entire expression can be taken into
account, rather than evaluating each operation "greedily".
Boost.Python uses the same technique to build an appropriate Python
method object based on expressions involving ``self``.
.. _NumPy: http://www.pfdubois.com/numpy/
Inheritance
===========
C++ inheritance relationships can be represented to Boost.Python by adding
an optional ``bases<...>`` argument to the ``class_<...>`` template
parameter list as follows::
class_<Derived, bases<Base1,Base2> >("Derived")
...
This has two effects:
1. When the ``class_<...>`` is created, Python type objects
corresponding to ``Base1`` and ``Base2`` are looked up in
Boost.Python's registry, and are used as bases for the new Python
``Derived`` type object, so methods exposed for the Python ``Base1``
and ``Base2`` types are automatically members of the ``Derived``
type. Because the registry is global, this works correctly even if
``Derived`` is exposed in a different module from either of its
bases.
2. C++ conversions from ``Derived`` to its bases are added to the
Boost.Python registry. Thus wrapped C++ methods expecting (a
pointer or reference to) an object of either base type can be
called with an object wrapping a ``Derived`` instance. Wrapped
member functions of class ``T`` are treated as though they have an
implicit first argument of ``T&``, so these conversions are
neccessary to allow the base class methods to be called for derived
objects.
Of course it's possible to derive new Python classes from wrapped C++
class instances. Because Boost.Python uses the new-style class
system, that works very much as for the Python built-in types. There
is one significant detail in which it differs: the built-in types
generally establish their invariants in their ``__new__`` function, so
that derived classes do not need to call ``__init__`` on the base
class before invoking its methods : ::
>>> class L(list):
... def __init__(self):
... pass
...
>>> L().reverse()
>>>
Because C++ object construction is a one-step operation, C++ instance
data cannot be constructed until the arguments are available, in the
``__init__`` function: ::
>>> class D(SomeBoostPythonClass):
... def __init__(self):
... pass
...
>>> D().some_boost_python_method()
Traceback (most recent call last):
File "<stdin>", line 1, in ?
TypeError: bad argument type for built-in operation
This happened because Boost.Python couldn't find instance data of type
``SomeBoostPythonClass`` within the ``D`` instance; ``D``'s ``__init__``
function masked construction of the base class. It could be corrected
by either removing ``D``'s ``__init__`` function or having it call
``SomeBoostPythonClass.__init__(...)`` explicitly.
Virtual Functions
=================
Deriving new types in Python from extension classes is not very
interesting unless they can be used polymorphically from C++. In
other words, Python method implementations should appear to override
the implementation of C++ virtual functions when called *through base
class pointers/references from C++*. Since the only way to alter the
behavior of a virtual function is to override it in a derived class,
the user must build a special derived class to dispatch a polymorphic
class' virtual functions::
//
// interface to wrap:
//
class Base
{
public:
virtual int f(std::string x) { return 42; }
virtual ~Base();
};
int calls_f(Base const& b, std::string x) { return b.f(x); }
//
// Wrapping Code
//
// Dispatcher class
struct BaseWrap : Base
{
// Store a pointer to the Python object
BaseWrap(PyObject* self_) : self(self_) {}
PyObject* self;
// Default implementation, for when f is not overridden
int f_default(std::string x) { return this->Base::f(x); }
// Dispatch implementation
int f(std::string x) { return call_method<int>(self, "f", x); }
};
...
def("calls_f", calls_f);
class_<Base, BaseWrap>("Base")
.def("f", &Base::f, &BaseWrap::f_default)
;
Now here's some Python code which demonstrates: ::
>>> class Derived(Base):
... def f(self, s):
... return len(s)
...
>>> calls_f(Base(), 'foo')
42
>>> calls_f(Derived(), 'forty-two')
9
Things to notice about the dispatcher class:
* The key element which allows overriding in Python is the
``call_method`` invocation, which uses the same global type
conversion registry as the C++ function wrapping does to convert its
arguments from C++ to Python and its return type from Python to C++.
* Any constructor signatures you wish to wrap must be replicated with
an initial ``PyObject*`` argument
* The dispatcher must store this argument so that it can be used to
invoke ``call_method``
* The ``f_default`` member function is needed when the function being
exposed is not pure virtual; there's no other way ``Base::f`` can be
called on an object of type ``BaseWrap``, since it overrides ``f``.
Deeper Reflection on the Horizon?
=================================
Admittedly, this formula is tedious to repeat, especially on a project
with many polymorphic classes. That it is neccessary reflects some
limitations in C++'s compile-time introspection capabilities: there's
no way to enumerate the members of a class and find out which are
virtual functions. At least one very promising project has been
started to write a front-end which can generate these dispatchers (and
other wrapping code) automatically from C++ headers.
Pyste_ is being developed by Bruno da Silva de Oliveira. It builds on
GCC_XML_, which generates an XML version of GCC's internal program
representation. Since GCC is a highly-conformant C++ compiler, this
ensures correct handling of the most-sophisticated template code and
full access to the underlying type system. In keeping with the
Boost.Python philosophy, a Pyste interface description is neither
intrusive on the code being wrapped, nor expressed in some unfamiliar
language: instead it is a 100% pure Python script. If Pyste is
successful it will mark a move away from wrapping everything directly
in C++ for many of our users. It will also allow us the choice to
shift some of the metaprogram code from C++ to Python. We expect that
soon, not only our users but the Boost.Python developers themselves
will be "thinking hybrid" about their own code.
.. _`GCC_XML`: http://www.gccxml.org/HTML/Index.html
.. _`Pyste`: http://www.boost.org/libs/python/pyste
---------------
Serialization
---------------
*Serialization* is the process of converting objects in memory to a
form that can be stored on disk or sent over a network connection. The
serialized object (most often a plain string) can be retrieved and
converted back to the original object. A good serialization system will
automatically convert entire object hierarchies. Python's standard
``pickle`` module is just such a system. It leverages the language's strong
runtime introspection facilities for serializing practically arbitrary
user-defined objects. With a few simple and unintrusive provisions this
powerful machinery can be extended to also work for wrapped C++ objects.
Here is an example::
#include <string>
struct World
{
World(std::string a_msg) : msg(a_msg) {}
std::string greet() const { return msg; }
std::string msg;
};
#include <boost/python.hpp>
using namespace boost::python;
struct World_picklers : pickle_suite
{
static tuple
getinitargs(World const& w) { return make_tuple(w.greet()); }
};
BOOST_PYTHON_MODULE(hello)
{
class_<World>("World", init<std::string>())
.def("greet", &World::greet)
.def_pickle(World_picklers())
;
}
Now let's create a ``World`` object and put it to rest on disk::
>>> import hello
>>> import pickle
>>> a_world = hello.World("howdy")
>>> pickle.dump(a_world, open("my_world", "w"))
In a potentially *different script* on a potentially *different
computer* with a potentially *different operating system*::
>>> import pickle
>>> resurrected_world = pickle.load(open("my_world", "r"))
>>> resurrected_world.greet()
'howdy'
Of course the ``cPickle`` module can also be used for faster
processing.
Boost.Python's ``pickle_suite`` fully supports the ``pickle`` protocol
defined in the standard Python documentation. Like a __getinitargs__
function in Python, the pickle_suite's getinitargs() is responsible for
creating the argument tuple that will be use to reconstruct the pickled
object. The other elements of the Python pickling protocol,
__getstate__ and __setstate__ can be optionally provided via C++
getstate and setstate functions. C++'s static type system allows the
library to ensure at compile-time that nonsensical combinations of
functions (e.g. getstate without setstate) are not used.
Enabling serialization of more complex C++ objects requires a little
more work than is shown in the example above. Fortunately the
``object`` interface (see next section) greatly helps in keeping the
code manageable.
------------------
Object interface
------------------
Experienced 'C' language extension module authors will be familiar
with the ubiquitous ``PyObject*``, manual reference-counting, and the
need to remember which API calls return "new" (owned) references or
"borrowed" (raw) references. These constraints are not just
cumbersome but also a major source of errors, especially in the
presence of exceptions.
Boost.Python provides a class ``object`` which automates reference
counting and provides conversion to Python from C++ objects of
arbitrary type. This significantly reduces the learning effort for
prospective extension module writers.
Creating an ``object`` from any other type is extremely simple::
object s("hello, world"); // s manages a Python string
``object`` has templated interactions with all other types, with
automatic to-python conversions. It happens so naturally that it's
easily overlooked::
object ten_Os = 10 * s[4]; // -> "oooooooooo"
In the example above, ``4`` and ``10`` are converted to Python objects
before the indexing and multiplication operations are invoked.
The ``extract<T>`` class template can be used to convert Python objects
to C++ types::
double x = extract<double>(o);
If a conversion in either direction cannot be performed, an
appropriate exception is thrown at runtime.
The ``object`` type is accompanied by a set of derived types
that mirror the Python built-in types such as ``list``, ``dict``,
``tuple``, etc. as much as possible. This enables convenient
manipulation of these high-level types from C++::
dict d;
d["some"] = "thing";
d["lucky_number"] = 13;
list l = d.keys();
This almost looks and works like regular Python code, but it is pure
C++. Of course we can wrap C++ functions which accept or return
``object`` instances.
=================
Thinking hybrid
=================
Because of the practical and mental difficulties of combining
programming languages, it is common to settle a single language at the
outset of any development effort. For many applications, performance
considerations dictate the use of a compiled language for the core
algorithms. Unfortunately, due to the complexity of the static type
system, the price we pay for runtime performance is often a
significant increase in development time. Experience shows that
writing maintainable C++ code usually takes longer and requires *far*
more hard-earned working experience than developing comparable Python
code. Even when developers are comfortable working exclusively in
compiled languages, they often augment their systems by some type of
ad hoc scripting layer for the benefit of their users without ever
availing themselves of the same advantages.
Boost.Python enables us to *think hybrid*. Python can be used for
rapidly prototyping a new application; its ease of use and the large
pool of standard libraries give us a head start on the way to a
working system. If necessary, the working code can be used to
discover rate-limiting hotspots. To maximize performance these can
be reimplemented in C++, together with the Boost.Python bindings
needed to tie them back into the existing higher-level procedure.
Of course, this *top-down* approach is less attractive if it is clear
from the start that many algorithms will eventually have to be
implemented in C++. Fortunately Boost.Python also enables us to
pursue a *bottom-up* approach. We have used this approach very
successfully in the development of a toolbox for scientific
applications. The toolbox started out mainly as a library of C++
classes with Boost.Python bindings, and for a while the growth was
mainly concentrated on the C++ parts. However, as the toolbox is
becoming more complete, more and more newly added functionality can be
implemented in Python.
.. image:: python_cpp_mix.jpg
This figure shows the estimated ratio of newly added C++ and Python
code over time as new algorithms are implemented. We expect this
ratio to level out near 70% Python. Being able to solve new problems
mostly in Python rather than a more difficult statically typed
language is the return on our investment in Boost.Python. The ability
to access all of our code from Python allows a broader group of
developers to use it in the rapid development of new applications.
=====================
Development history
=====================
The first version of Boost.Python was developed in 2000 by Dave
Abrahams at Dragon Systems, where he was privileged to have Tim Peters
as a guide to "The Zen of Python". One of Dave's jobs was to develop
a Python-based natural language processing system. Since it was
eventually going to be targeting embedded hardware, it was always
assumed that the compute-intensive core would be rewritten in C++ to
optimize speed and memory footprint [#proto]_. The project also wanted to
test all of its C++ code using Python test scripts [#test]_. The only
tool we knew of for binding C++ and Python was SWIG_, and at the time
its handling of C++ was weak. It would be false to claim any deep
insight into the possible advantages of Boost.Python's approach at
this point. Dave's interest and expertise in fancy C++ template
tricks had just reached the point where he could do some real damage,
and Boost.Python emerged as it did because it filled a need and
because it seemed like a cool thing to try.
This early version was aimed at many of the same basic goals we've
described in this paper, differing most-noticeably by having a
slightly more cumbersome syntax and by lack of special support for
operator overloading, pickling, and component-based development.
These last three features were quickly added by Ullrich Koethe and
Ralf Grosse-Kunstleve [#feature]_, and other enthusiastic contributors arrived
on the scene to contribute enhancements like support for nested
modules and static member functions.
By early 2001 development had stabilized and few new features were
being added, however a disturbing new fact came to light: Ralf had
begun testing Boost.Python on pre-release versions of a compiler using
the EDG_ front-end, and the mechanism at the core of Boost.Python
responsible for handling conversions between Python and C++ types was
failing to compile. As it turned out, we had been exploiting a very
common bug in the implementation of all the C++ compilers we had
tested. We knew that as C++ compilers rapidly became more
standards-compliant, the library would begin failing on more
platforms. Unfortunately, because the mechanism was so central to the
functioning of the library, fixing the problem looked very difficult.
Fortunately, later that year Lawrence Berkeley and later Lawrence
Livermore National labs contracted with `Boost Consulting`_ for support
and development of Boost.Python, and there was a new opportunity to
address fundamental issues and ensure a future for the library. A
redesign effort began with the low level type conversion architecture,
building in standards-compliance and support for component-based
development (in contrast to version 1 where conversions had to be
explicitly imported and exported across module boundaries). A new
analysis of the relationship between the Python and C++ objects was
done, resulting in more intuitive handling for C++ lvalues and
rvalues.
The emergence of a powerful new type system in Python 2.2 made the
choice of whether to maintain compatibility with Python 1.5.2 easy:
the opportunity to throw away a great deal of elaborate code for
emulating classic Python classes alone was too good to pass up. In
addition, Python iterators and descriptors provided crucial and
elegant tools for representing similar C++ constructs. The
development of the generalized ``object`` interface allowed us to
further shield C++ programmers from the dangers and syntactic burdens
of the Python 'C' API. A great number of other features including C++
exception translation, improved support for overloaded functions, and
most significantly, CallPolicies for handling pointers and
references, were added during this period.
In October 2002, version 2 of Boost.Python was released. Development
since then has concentrated on improved support for C++ runtime
polymorphism and smart pointers. Peter Dimov's ingenious
``boost::shared_ptr`` design in particular has allowed us to give the
hybrid developer a consistent interface for moving objects back and
forth across the language barrier without loss of information. At
first, we were concerned that the sophistication and complexity of the
Boost.Python v2 implementation might discourage contributors, but the
emergence of Pyste_ and several other significant feature
contributions have laid those fears to rest. Daily questions on the
Python C++-sig and a backlog of desired improvements show that the
library is getting used. To us, the future looks bright.
.. _`EDG`: http://www.edg.com
=============
Conclusions
=============
Boost.Python achieves seamless interoperability between two rich and
complimentary language environments. Because it leverages template
metaprogramming to introspect about types and functions, the user
never has to learn a third syntax: the interface definitions are
written in concise and maintainable C++. Also, the wrapping system
doesn't have to parse C++ headers or represent the type system: the
compiler does that work for us.
Computationally intensive tasks play to the strengths of C++ and are
often impossible to implement efficiently in pure Python, while jobs
like serialization that are trivial in Python can be very difficult in
pure C++. Given the luxury of building a hybrid software system from
the ground up, we can approach design with new confidence and power.
===========
Citations
===========
.. [VELD1995] T. Veldhuizen, "Expression Templates," C++ Report,
Vol. 7 No. 5 June 1995, pp. 26-31.
http://osl.iu.edu/~tveldhui/papers/Expression-Templates/exprtmpl.html
===========
Footnotes
===========
.. [#proto] In retrospect, it seems that "thinking hybrid" from the
ground up might have been better for the NLP system: the
natural component boundaries defined by the pure python
prototype turned out to be inappropriate for getting the
desired performance and memory footprint out of the C++ core,
which eventually caused some redesign overhead on the Python
side when the core was moved to C++.
.. [#test] We also have some reservations about driving all C++
testing through a Python interface, unless that's the only way
it will be ultimately used. Any transition across language
boundaries with such different object models can inevitably
mask bugs.
.. [#feature] These features were expressed very differently in v1 of
Boost.Python
This file has been moved to http://www.boost-consulting.com/writing/bpl.txt.

View File

@@ -273,7 +273,7 @@ correctly:
==================
This section outlines some of the library's major features. Except as
neccessary to avoid confusion, details of library implementation are
necessary to avoid confusion, details of library implementation are
omitted.
-------------------------------------------
@@ -537,7 +537,7 @@ This has two effects:
called with an object wrapping a ``Derived`` instance. Wrapped
member functions of class ``T`` are treated as though they have an
implicit first argument of ``T&``, so these conversions are
neccessary to allow the base class methods to be called for derived
necessary to allow the base class methods to be called for derived
objects.
Of course it's possible to derive new Python classes from wrapped C++
@@ -650,7 +650,7 @@ Things to notice about the dispatcher class:
called on an object of type ``BaseWrap``, since it overrides ``f``.
Admittedly, this formula is tedious to repeat, especially on a project
with many polymorphic classes; that it is neccessary reflects
with many polymorphic classes; that it is necessary reflects
limitations in C++'s compile-time reflection capabilities. Several
efforts are underway to write front-ends for Boost.Python which can
generate these dispatchers (and other wrapping code) automatically.

View File

@@ -16,7 +16,7 @@
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -77,10 +77,10 @@
library, but if multiple Boost.Python extension modules are used
together, it will prevent sharing of types across extension modules, and
consume extra code space. To build <code>boost_python</code>, use <a
href="../../../tools/build/v1/build_system.htm">Boost.Build</a> in the usual way
from the <code>libs/python/build</code> subdirectory of your boost
installation (if you have already built boost from the top level this may
have no effect, since the work is already done).</p>
href="../../../tools/build/v1/build_system.htm">Boost.Build</a> in the
usual way from the <code>libs/python/build</code> subdirectory of your
boost installation (if you have already built boost from the top level
this may have no effect, since the work is already done).</p>
<h3><a name="configuration">Basic Configuration</a></h3>
You may need to configure the following variables to point Boost.Build at
@@ -253,61 +253,91 @@ bjam -sTOOLS=<i><a href=
</pre>
</blockquote>
This will update all of the Boost.Python v1 test and example targets. The
tests are relatively quiet by default. To get more-verbose output, you
tests are relatively verbose by default. To get less-verbose output, you
might try
<blockquote>
<pre>
bjam -sTOOLS=<i><a href=
"../../../more/getting_started.html#Tools">toolset</a></i> -sPYTHON_TEST_ARGS=-v test
"../../../more/getting_started.html#Tools">toolset</a></i> -sPYTHON_TEST_ARGS= test
</pre>
</blockquote>
which will print each test's Python code with the expected output as it
passes.
By default, <code>PYTHON_TEST_ARGS</code> is set to <code>-v</code>.
<h2><a name="building_ext">Building your Extension Module</a></h2>
Though there are other approaches, the smoothest and most reliable
way to build an extension module using Boost.Python is with
Boost.Build. If you have to use another build system, you should
use Boost.Build at least once with the
"<code><b>-n</b></code>" option so you can see the command-lines it uses,
and replicate them. You are likely to run into compilation or linking
problems otherwise.
Though there are other approaches, the smoothest and most reliable way to
build an extension module using Boost.Python is with Boost.Build. If you
have to use another build system, you should use Boost.Build at least
once with the "<code><b>-n</b></code>" option so you can see the
command-lines it uses, and replicate them. You are likely to run into
compilation or linking problems otherwise.
The <code><a href="../example">libs/python/example</a></code>
subdirectory of your boost installation contains a small example
which builds and tests two extensions. To build your own
extensions copy the example subproject and make the following two edits:
<p>The files required to build a Boost.Python extension module using bjam
are the "local" files <tt>Jamfile</tt>, <tt>Jamrules</tt>, and
<tt>boost_build.jam</tt>, and the <tt>boost/</tt>
and <tt>tools/build/v1/</tt> subdirectories of your Boost
tree. The latter directory contains the source code of the
Boost.Build system, which is used to generate the correct build
commands for your extension module. The '<tt>v1</tt>' refers to
Boost.Build version 1. Version 2 is pre-release and currently not
ready for general use.
<ol>
<li><code><a
href="../example/boost-build.jam"><b>boost-build.jam</b></a></code> -
edit the line which reads
<p>
The <tt>libs/python/example/</tt> project we're going to build is
set up to automatically rebuild the Boost.Python library in place
whenever it's out-of-date rather than just reusing an existing
library, so you'll also need the Boost.Python library sources in
<tt>boost/python/src/</tt>.
</p>
<blockquote>
<blockquote>
<b>Note:</b> Third-party package and distribution maintainers
for various operating systems sometimes split up Boost's
structure or omit parts of it, so if you didn't download an
official <a href=
"http://sourceforge.net/project/showfiles.php?group_id=7586">Boost
release</a> you might want to <a href=
"http://cvs.sourceforge.net/viewcvs.py/boost/boost/">browse our CVS
structure</a> to make sure you have everything you need, and in the
right places.
</blockquote>
<p>The <code><a href="../example">libs/python/example</a></code>
subdirectory of your boost installation contains a small example which
builds and tests two extensions. To build your own extensions copy the
example subproject and make the following two edits:</p>
<ol>
<li>
<code><a href=
"../example/boost-build.jam"><b>boost-build.jam</b></a></code> - edit
the line which reads
<blockquote>
<pre>
boost-build ../../../tools/build/v1 ;
</pre>
</blockquote>
</blockquote>
so that the path refers to the <code>tools/build/v1</code>
subdirectory of your Boost installation.
</li>
so that the path refers to the <code>tools/build/v1</code> subdirectory
of your Boost installation.
<li>
<code><a href="../example/Jamrules"><b>Jamrules</b></a></code> - edit
the line which reads
<li><code><a href="../example/Jamrules"><b>Jamrules</b></a></code> -
edit the line which reads
<blockquote>
<blockquote>
<pre>
path-global BOOST_ROOT : ../../.. ;
</pre>
</blockquote>
so that the path refers to the root directory of your Boost installation.
</ol>
</blockquote>
so that the path refers to the root directory of your Boost
installation.
</li>
</ol>
<p>
The instructions <a href="#testing">above</a> for testing Boost.Python
apply equally to your new extension modules in this subproject.
<p>The instructions <a href="#testing">above</a> for testing Boost.Python
apply equally to your new extension modules in this subproject.</p>
<h2><a name="variants">Build Variants</a></h2>
Three <a href=
@@ -407,18 +437,18 @@ so that the path refers to the root directory of your Boost installation.
<blockquote>
<em>The Visual Studio project files are graciously contributed and
maintained by <a href="mailto:brett.calcott@paradise.net.nz">Brett
maintained by <a href="mailto:brett.calcott@gmail.com">Brett
Calcott</a></em>.
</blockquote>
<hr>
<p>&copy; Copyright David Abrahams 2002. Permission to copy, use, modify,
sell and distribute this document is granted provided this copyright
notice appears in all copies. This document is provided ``as is'' without
express or implied warranty, and with no claim as to its suitability for
any purpose.</p>
<p>&copy; Copyright David Abrahams 2002-2004. Permission to copy,
use, modify, sell and distribute this document is granted provided
this copyright notice appears in all copies. This document is
provided ``as is'' without express or implied warranty, and with
no claim as to its suitability for any purpose.</p>
<p>Updated: 29 December, 2002 (David Abrahams)</p>
<p>Updated: 13 April 2004 (David Abrahams)</p>
</body>
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@@ -5,7 +5,7 @@
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"C++ Boost" src="../../../boost.png" border="0"></a></h3>
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@@ -24,10 +24,60 @@
<h2 align="center">Index</h2>
</td>
<td align="right">
<form method="get" action="http://www.google.com/custom">
<p>
<span id= "search-choice">
Search
<select name="hq" id="hq">
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<hr>
<h2>Synopsis</h2>
Welcome to version 2 of <b>Boost.Python</b>, a C++ library which enables
seamless interoperability between C++ and the <a href=
@@ -123,7 +173,7 @@
</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003. All Rights Reserved.</i></p>
Abrahams</a> 2002-2003.</i></p>
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@@ -9,7 +9,7 @@
</head>
<body>
<div class="document" id="boost-python-internals-logo">
<h1 class="title"><a class="reference" href="index.html">Boost.Python</a> Internals <a class="reference" href="../../../index.htm"><img alt="Boost" src="../../../c++boost.gif" /></a></h1>
<h1 class="title"><a class="reference" href="index.html">Boost.Python</a> Internals <a class="reference" href="../../../index.htm"><img alt="Boost" src="../../../boost.png" /></a></h1>
<div class="section" id="a-conversation-between-brett-calcott-and-david-abrahams">
<h1><a name="a-conversation-between-brett-calcott-and-david-abrahams">A conversation between Brett Calcott and David Abrahams</a></h1>
<table class="field-list" frame="void" rules="none">

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@@ -2,8 +2,9 @@
Boost.Python_ Internals |(logo)|__
===================================
.. |(logo)| image:: ../../../c++boost.gif
.. |(logo)| image:: ../../../boost.png
:alt: Boost
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__ ../../../index.htm

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@@ -1,328 +0,0 @@
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<title>A New Type Conversion Mechanism for Boost.Python</title>
</head>
<body bgcolor="#FFFFFF" text="#000000">
<p><img border="0" src="../../../c++boost.gif" width="277" height="86"
alt="boost logo"></p>
<h1>A New Type Conversion Mechanism for Boost.Python</h1>
<p>By <a href="../../../people/dave_abrahams.htm">David Abrahams</a>.
<h2>Introduction</h2>
This document describes a redesign of the mechanism for automatically
converting objects between C++ and Python. The current implementation
uses two functions for any type <tt>T</tt>:
<blockquote><pre>
U from_python(PyObject*, type&lt;T&gt;);
void to_python(V);
</pre></blockquote>
where U is convertible to T and T is convertible to V. These functions
are at the heart of C++/Python interoperability in Boost.Python, so
why would we want to change them? There are many reasons:
<h3>Bugs</h3>
<p>Firstly, the current mechanism relies on a common C++ compiler
bug. This is not just embarrassing: as compilers get to be more
conformant, the library stops working. The issue, in detail, is the
use of inline friend functions in templates to generate
conversions. It is a very powerful, and legal technique as long as
it's used correctly:
<blockquote><pre>
template &lt;class Derived&gt;
struct add_some_functions
{
friend <i>return-type</i> some_function1(..., Derived <i>cv-*-&amp;-opt</i>, ...);
friend <i>return-type</i> some_function2(..., Derived <i>cv-*-&amp;-opt</i>, ...);
};
template &lt;class T&gt;
struct some_template : add_some_functions&lt;some_template&lt;T&gt; &gt;
{
};
</pre></blockquote>
The <tt>add_some_functions</tt> template generates free functions
which operate on <tt>Derived</tt>, or on related types. Strictly
speaking the related types are not just cv-qualified <tt>Derived</tt>
values, pointers and/or references. Section 3.4.2 in the standard
describes exactly which types you must use as parameters to these
functions if you want the functions to be found
(there is also a less-technical description in section 11.5.1 of
C++PL3 <a href="#ref_1">[1]</a>). Suffice it to say that
with the current design, the <tt>from_python</tt> and
<tt>to_python</tt> functions are not supposed to be callable under any
conditions!
<h3>Compilation and Linking Time</h3>
The conversion functions generated for each wrapped class using the
above technique are not function templates, but regular functions. The
upshot is that they must <i>all</i> be generated regardless of whether
they are actually used. Generating all of those functions can slow
down module compilation, and resolving the references can slow down
linking.
<h3>Efficiency</h3>
The conversion functions are primarily used in (member) function
wrappers to convert the arguments and return values. Being functions,
converters have no interface which allows us to ask &quot;will the
conversion succeed?&quot; without calling the function. Since the
return value of the function must be the object to be passed as an
argument, Boost.Python currently uses C++ exception-handling to detect
an unsuccessful conversion. It's not a particularly good use of
exception-handling, since the failure is not handled very far from
where it occurred. More importantly, it means that C++ exceptions are
thrown during overload resolution as we seek an overload that matches
the arguments passed. Depending on the implementation, this approach
can result in significant slowdowns.
<p>It is also unclear that the current library generates a minimal
amount of code for any type conversion. Many of the conversion
functions are nontrivial, and partly because of compiler limitations,
they are declared <tt>inline</tt>. Also, we could have done a better
job separating the type-specific conversion code from the code which
is type-independent.
<h3>Cross-module Support</h3>
The current strategy requires every module to contain the definition
of conversions it uses. In general, a new module can never supply
conversion code which is used by another module. Ralf Grosse-Kunstleve
designed a clever system which imports conversions directly from one
library into another using some explicit declarations, but it has some
disadvantages also:
<ol>
<li>The system Ullrich Koethe designed for implicit conversion between
wrapped classes related through inheritance does not currently work if
the classes are defined in separate modules.
<li>The writer of the importing module is required to know the name of
the module supplying the imported conversions.
<li>There can be only one way to extract any given C++ type from a
Python object in a given module.
</ol>
The first item might be addressed by moving Boost.Python into a shared
library, but the other two cannot. Ralf turned the limitation in item
two into a feature: the required module is loaded implicitly when a
conversion it defines is invoked. We will probably want to provide
that functionality anyway, but it's not clear that we should require
the declaration of all such conversions. The final item is a more
serious limitation. If, for example, new numeric types are defined in
separate modules, and these types can all be converted to
<tt>double</tt>s, we have to choose just one conversion method.
<h3>Ease-of-use</h3>
One persistent source of confusion for users of Boost.Python has been
the fact that conversions for a class are not be visible at
compile-time until the declaration of that class has been seen. When
the user tries to expose a (member) function operating on or returning
an instance of the class in question, compilation fails...even though
the user goes on to expose the class in the same translation unit!
<p>
The new system lifts all compile-time checks for the existence of
particular type conversions and replaces them with runtime checks, in
true Pythonic style. While this might seem cavalier, the compile-time
checks are actually not much use in the current system if many classes
are wrapped in separate modules, since the checks are based only on
the user's declaration that the conversions exist.
<h2>The New Design</h2>
<h3>Motivation</h3>
The new design was heavily influenced by a desire to generate as
little code as possible in extension modules. Some of Boost.Python's
clients are enormous projects where link time is proportional to the
amount of object code, and there are many Python extension modules. As
such, we try to keep type-specific conversion code out of modules
other than the one the converters are defined in, and rely as much as
possible on centralized control through a shared library.
<h3>The Basics</h3>
The library contains a <tt>registry</tt> which maps runtime type
identifiers (actually an extension of <tt>std::type_info</tt> which
preserves references and constness) to entries containing type
converters. An <tt>entry</tt> can contain only one converter from C++ to Python
(<tt>wrapper</tt>), but many converters from Python to C++
(<tt>unwrapper</tt>s). <font color="#ff0000">What should happen if
multiple modules try to register wrappers for the same type?</font>. Wrappers
and unwrappers are known as <tt>body</tt> objects, and are accessed
by the user and the library (in its function-wrapping code) through
corresponding <tt>handle</tt> (<tt>wrap&lt;T&gt;</tt> and
<tt>unwrap&lt;T&gt;</tt>) objects. The <tt>handle</tt> objects are
extremely lightweight, and delegate <i>all</i> of their operations to
the corresponding <tt>body</tt>.
<p>
When a <tt>handle</tt> object is constructed, it accesses the
registry to find a corresponding <tt>body</tt> that can convert the
handle's constructor argument. Actually the registry record for any
type
<tt>T</tt>used in a module is looked up only once and stored in a
static <tt>registration&lt;T&gt;</tt> object for efficiency. For
example, if the handle is an <tt>unwrap&lt;Foo&amp;&gt;</tt> object,
the <tt>entry</tt> for <tt>Foo&amp;</tt> is looked up in the
<tt>registry</tt>, and each <tt>unwrapper</tt> it contains is queried
to determine if it can convert the
<tt>PyObject*</tt> with which the <tt>unwrap</tt> was constructed. If
a body object which can perform the conversion is found, a pointer to
it is stored in the handle. A body object may at any point store
additional data in the handle to speed up the conversion process.
<p>
Now that the handle has been constructed, the user can ask it whether
the conversion can be performed. All handles can be tested as though
they were convertible to <tt>bool</tt>; a <tt>true</tt> value
indicates success. If the user forges ahead and tries to do the
conversion without checking when no conversion is possible, an
exception will be thrown as usual. The conversion itself is performed
by the body object.
<h3>Handling complex conversions</h3>
<p>Some conversions may require a dynamic allocation. For example,
when a Python tuple is converted to a <tt>std::vector&lt;double&gt;
const&amp;</tt>, we need some storage into which to construct the
vector so that a reference to it can be formed. Furthermore, multiple
conversions of the same type may need to be &quot;active&quot;
simultaneously, so we can't keep a single copy of the storage
anywhere. We could keep the storage in the <tt>body</tt> object, and
have the body clone itself in case the storage is used, but in that
case the storage in the body which lives in the registry is never
used. If the storage was actually an object of the target type (the
safest way in C++), we'd have to find a way to construct one for the
body in the registry, since it may not have a default constructor.
<p>
The most obvious way out of this quagmire is to allocate the object using a
<i>new-expression</i>, and store a pointer to it in the handle. Since
the <tt>body</tt> object knows everything about the data it needs to
allocate (if any), it is also given responsibility for destroying that
data. When the <tt>handle</tt> is destroyed it asks the <tt>body</tt>
object to tear down any data it may have stored there. In many ways,
you can think of the <tt>body</tt> as a &quot;dynamically-determined
vtable&quot; for the handle.
<h3>Eliminating Redundancy</h3>
If you look at the current Boost.Python code, you'll see that there
are an enormous number of conversion functions generated for each
wrapped class. For a given class <tt>T</tt>, functions are generated
to extract the following types <tt>from_python</tt>:
<blockquote><pre>
T*
T const*
T const* const&amp;
T* const&amp;
T&amp;
T const&amp;
T
std::auto_ptr&lt;T&gt;&amp;
std::auto_ptr&lt;T&gt;
std::auto_ptr&lt;T&gt; const&amp;
boost::shared_ptr&lt;T&gt;&amp;
boost::shared_ptr&lt;T&gt;
boost::shared_ptr&lt;T&gt; const&amp;
</pre></blockquote>
Most of these are implemented in terms of just a few conversions, and
<t>if you're lucky</t>, they will be inlined and cause no extra
overhead. In the new system, however, a significant amount of data
will be associated with each type that needs to be converted. We
certainly don't want to register a separate unwrapper object for all
of the above types.
<p>Fortunately, much of the redundancy can be eliminated. For example,
if we generate an unwrapper for <tt>T&</tt>, we don't need an
unwrapper for <tt>T const&</tt> or <tt>T</tt>. Accordingly, the user's
request to wrap/unwrap a given type is translated at compile-time into
a request which helps to eliminate redundancy. The rules used to
<tt>unwrap</tt> a type are:
<ol>
<li> Treat built-in types specially: when unwrapping a value or
constant reference to one of these, use a value for the target
type. It will bind to a const reference if neccessary, and more
importantly, avoids having to dynamically allocate room for
an lvalue of types which can be cheaply copied.
<li>
Reduce everything else to a reference to an un-cv-qualified type
where possible. Since cv-qualification is lost on Python
anyway, there's no point in trying to convert to a
<tt>const&amp;</tt>. <font color="#ff0000">What about conversions
to values like the tuple-&gt;vector example above? It seems to me
that we don't want to make a <tt>vector&lt;double&gt;&amp;</tt>
(non-const) converter available for that case. We may need to
rethink this slightly.</font>
</ol>
<p>To handle the problem described above in item 2, we modify the
procedure slightly. To unwrap any non-scalar <tt>T</tt>, we seek an
unwrapper for <tt>add_reference&lt;T&gt;::type</tt>. Unwrappers for
<tt>T&nbsp;const&amp;</tt> always return <tt>T&amp;</tt>, and are
registered under both <tt>T&nbsp;&amp;</tt> and
<tt>T&nbsp;const&amp;</tt>.
<p>For compilers not supporting partial specialization, unwrappers for
<tt>T&nbsp;const&amp;</tt> must return <tt>T&nbsp;const&amp;</tt>
(since constness can't be stripped), but a separate unwrapper object
need to be registered for <tt>T&nbsp;&amp;</tt> and
<tt>T&nbsp;const&amp;</tt> anyway, for the same reasons.
<font color="#ff0000">We may want to make it possible to compile as
though partial specialization were unavailable even on compilers where
it is available, in case modules could be compiled by different
compilers with compatible ABIs (e.g. Intel C++ and MSVC6).</font>
<h3>Efficient Argument Conversion</h3>
Since type conversions are primarily used in function wrappers, an
optimization is provided for the case where a group of conversions are
used together. Each <tt>handle</tt> class has a corresponding
&quot;<tt>_more</tt>&quot; class which does the same job, but has a
trivial destructor. Instead of asking each &quot;<tt>_more</tt>&quot;
handle to destroy its own body, it is linked into an endogenous list
managed by the first (ordinary) handle. The <tt>wrap</tt> and
<tt>unwrap</tt> destructors are responsible for traversing that list
and asking each <tt>body</tt> class to tear down its
<tt>handle</tt>. This mechanism is also used to determine if all of
the argument/return-value conversions can succeed with a single
function call in the function wrapping code. <font color="#ff0000">We
might need to handle return values in a separate step for Python
callbacks, since the availablility of a conversion won't be known
until the result object is retrieved.</font>
<br>
<hr>
<h2>References</h2>
<p><a name="ref_1">[1]</a>B. Stroustrup, The C++ Programming Language
Special Edition Addison-Wesley, ISBN 0-201-70073-5.
<hr>
<p>Revised <!--webbot bot="Timestamp" s-type="EDITED" s-format="%d %B %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="31283" --></p>
<p>© Copyright David Abrahams, 2001</p>
</body>
</html>

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@@ -1,111 +0,0 @@
This hierarchy contains converter handle classes.
+-------------+
| noncopyable |
+-------------+
^
| A common base class used so that
+--------+--------+ conversions can be linked into a
| conversion_base | chain for efficient argument
+-----------------+ conversion
^
|
+---------+-----------+
| |
+-----------+----+ +------+-------+ only used for
| unwrap_more<T> | | wrap_more<T> | chaining, and don't manage any
+----------------+ +--------------+ resources.
^ ^
| |
+-----+-----+ +-------+-+ These converters are what users
| unwrap<T> | | wrap<T> | actually touch, but they do so
+-----------+ +---------+ through a type generator which
minimizes the number of converters
that must be generated, so they
Each unwrap<T>, unwrap_more<T>, wrap<T>, wrap_more<T> converter holds
a reference to an appropriate converter object
This hierarchy contains converter body classes
Exposes use/release which
are needed in case the converter
+-----------+ in the registry needs to be
| converter | cloned. That occurs when a
+-----------+ unwrap target type is not
^ contained within the Python object.
|
+------------------+-----+
| |
+--------+-------+ Exposes |
| unwrapper_base | convertible() |
+----------------+ |
^ |
| |
+--------+----+ +-----+-----+
| unwrapper<T>| | wrapper<T>|
+-------------+ +-----------+
Exposes T convert(PyObject*) Exposes PyObject* convert(T)
unwrap:
constructed with a PyObject*, whose reference count is
incremented.
find the registry entry for the target type
look in the collection of converters for one which claims to be
able to convert the PyObject to the target type.
stick a pointer to the unwrapper in the unwrap object
when unwrap is queried for convertibility, it checks to see
if it has a pointer to an unwrapper.
on conversion, the unwrapper is asked to allocate an
implementation if the unwrap object isn't already holding
one. The unwrap object "takes ownership" of the unwrapper's
implementation. No memory allocation will actually take place
unless this is a value conversion.
on destruction, the unwrapper is asked to free any implementation
held by the unwrap object. No memory deallocation actually
takes place unless this is a value conversion
on destruction, the reference count on the held PyObject is
decremented.
We need to make sure that by default, you can't instantiate
callback<> for reference and pointer return types: although the
unwrappers may exist, they may convert by-value, which would cause
the referent to be destroyed upon return.
wrap:
find the registry entry for the source type
see if there is a converter. If found, stick a pointer to it in
the wrap object.
when queried for convertibility, it checks to see if it has a
pointer to a converter.
on conversion, a reference to the target PyObject is held by the
converter. Generally, the PyObject will have been created by the
converter, but in certain cases it may be a pre-existing object,
whose reference count will have been incremented.
when a wrap<T> x is used to return from a C++ function,
x.release() is returned so that x no longer holds a reference to
the PyObject when destroyed.
Otherwise, on destruction, any PyObject still held has its
reference-count decremented.
When a converter is created by the user, the appropriate element must
be added to the registry; when it is destroyed, it must be removed
from the registry.

View File

@@ -16,7 +16,7 @@
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -29,6 +29,33 @@
<hr>
<dl class="page-index">
<dt>11 March 2005</dt>
<dd>
<ul>
<li>Added a hack that will fool PyDoc into working with Boost.Python, thanks to Nick Rasmussen</li>
</ul>
</dd>
<dt>19 November 2004 - 1.32 release</dt>
<dd>
<ul>
<li>Updated to use the Boost Software License.</li>
<li>A new, <a href="tutorial/doc/html/python/exposing.html#python.class_virtual_functions">better method of wrapping classes with virtual functions</a> has been implemented.</li>
<li>Support for upcoming GCC symbol export control features have been folded in, thanks to Niall Douglas.</li>
<li>Improved support for <code>std::auto_ptr</code>-like types.</li>
<li>The Visual C++ bug that makes top-level <i>cv-qualification</i> of function parameter types part of the function type has been worked around.</li>
<li>Components used by other libraries have been moved out of <code>python/detail</code> and into <code> boost/detail</code> to improve dependency relationships.</li>
<li>Miscellaneous bug fixes and compiler workarounds.</li>
</ul>
</dd>
<dt>8 Sept 2004</dt>
<dd>
Support for Python's Bool type, thanks to <a
mailto="dholth-at-fastmail.fm">Daniel Holth</a>.
</dd>
<dt>11 Sept 2003</dt>
<dd>
@@ -180,12 +207,12 @@ BOOST_PYTHON_MODULE(test)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
11 September 2003
19 November 2004
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003. All Rights Reserved.</i></p>
Abrahams</a> 2002-2003.</i></p>
</body>
</html>

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@@ -4,7 +4,7 @@
<head>
<meta name="generator" content=
"HTML Tidy for Cygwin (vers 1st April 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<meta http-equiv="Content-Type" content="text/html; charset="utf-8">
<link rel="stylesheet" type="text/css" href="boost.css">
<title>Boost.Python - Projects using Boost.Python</title>
@@ -16,7 +16,7 @@
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -42,7 +42,7 @@
<dl class="page-index">
<dt><b><a href=
"http://www.neuralynx.com/neuralab/index.htm">NeuraLab</a></b></dt>
"http://www.neuralynx.com">NeuraLab</a></b></dt>
<dd>Neuralab is a data analysis environment specifically tailored for
neural data from <a href="http://www.neuralynx.com">Neuralynx</a>
@@ -139,6 +139,59 @@
</dd>
</dl>
<h3>Games</h3>
<dl>
<dt><b><a href="http://www.firaxis.com">Civilization IV</a></b></dt>
</dl>
<blockquote>
“The fourth game in the PC strategy series that has
sold over five million copies, Sid Meier's Civilization IV is a bold
step forward for the franchise, with spectacular new 3D graphics and
all-new single and multiplayer content. Civilization IV will also set a
new standard for user-modification, allowing gamers to create their own
add-ons using Python and XML.
<p>Sid Meier's Civilization IV will be released for PC in late 2005.
For more information please visit <a href=
"http://www.firaxis.com">http://www.firaxis.com</a> or write <a href=
"mailto:kgilmore@firaxis.com">kgilmore@firaxis.com</a></p>
</blockquote>
<p>Boost.Python is used as the interface layer between the C++ game code
and Python. Python is used for many purposes in the game, including map
generation, interface screens, game events, tools, tutorials, etc. Most
high-level game operations have been exposed to Python in order to give
modders the power they need to customize the game.</p>
<blockquote>
-Mustafa Thamer, Civ4 Lead Programmer
</blockquote>
<dl class="page-index">
<dt><b><a href="http://vegastrike.sourceforge.net">Vega
Strike</a></b></dt>
<dd>
<a href="http://vegastrike.sourceforge.net">Vega Strike</a> is the 3D
Space Simulator that allows you to trade and bounty hunt in a vast
universe. Players face dangers, decisions, piracy, and aliens.
<p><a href="http://vegastrike.sourceforge.net">Vega Strike</a> has
decided to base its scripting on python, using boost as the layer
between the class hierarchy in python and the class hierarchy in C++.
The result is a very flexible scripting system that treats units as
native python classes when designing missions or writing AI's.</p>
<p>A large economic and planetary simulation is currently being run
in the background in python and the results are returned back into
C++ in the form of various factions' spaceships appearing near worlds
that they are simulated to be near in python if the player is in the
general neighborhood.</p>
</dd>
</dl>
<h3>Graphics</h3>
<dl class="page-index">
@@ -151,14 +204,6 @@
C++/OpenGL library for the real-time visualization.<br>
&nbsp;</dd>
<dt><a href=
"http://www.procoders.net/pythonmagick"><b>PythonMagick</b></a></dt>
<dd>PythonMagick binds the <a href=
"http://www.graphicsmagick.org">GraphicsMagick</a> image manipulation
library to Python.<br>
&nbsp;</dd>
<dt><b><a href=
"http://www.slac.stanford.edu/grp/ek/hippodraw/index.html">HippoDraw</a></b></dt>
@@ -182,6 +227,35 @@
Which was just too cool a piece of trivia to omit.<br>
&nbsp;
</dd>
<dt><a href="http://www.iplt.org"><b>IPLT</b></a></dt>
<dd>
<a href="mailto:ansgar.philippsen-at-unibas.ch">Ansgar Philippsen</a>
writes:
<blockquote>
IPLT is an image processing library and toolbox for the structural
biology electron microscopy community. I would call it a
budding/evolving project, since it is currently not in production
stage, but rather under heavy development. Python is used as the
main scripting/interaction level, but also for rapid prototyping,
since the underlying C++ class library is pretty much fully exposed
via boost.python (at least the high-level interface). The combined
power of C++ and Python for this project turned out to be just
awesome.
</blockquote>
<br>
&nbsp;
</dd>
<dt><a href=
"http://www.procoders.net/pythonmagick"><b>PythonMagick</b></a></dt>
<dd>PythonMagick binds the <a href=
"http://www.graphicsmagick.org">GraphicsMagick</a> image manipulation
library to Python.<br>
&nbsp;</dd>
</dl>
<h3>Scientific Computing</h3>
@@ -277,13 +351,13 @@
<p>Two projects have been developed so far with this technology:</p>
<p><b><a href="http://www.esss.com.br/dev_simba.phtml">Simba</a></b>
<p><b><a href="http://www.esss.com.br/index.php?pg=dev_projetos">Simba</a></b>
provides 3D visualization of geological formations gattered from the
simulation of the evolution of oil systems, allowing the user to
analyse various aspects of the simulation, like deformation, pressure
and fluids, along the time of the simulation.</p>
<p><b><a href="http://www.esss.com.br/dev_aero.phtml">Aero</a></b>
<p><b><a href="http://www.esss.com.br/index.php?pg=dev_projetos">Aero</a></b>
aims to construct a CFD with brazilian technology, which involves
various companies and universities. ESSS is responsible for various
of the application modules, including GUI and post-processing of
@@ -314,6 +388,24 @@
</dd>
</dl>
<h3>Systems Libraries</h3>
<dl>
<dt><a href="http://itamarst.org/software"><b>Fusion</b></a></dt>
<dd>
<p>Fusion is a library that supports implementing protocols in C++
for use with Twisted, allowing control over memory allocation
strategies, fast method calls internally, etc.. Fusion supports TCP,
UDP and multicast, and is implemented using the Boost.Python python
bindings.</p>
<p>Fusion is licensed under the MIT license, and available for
download from <a href=
"http://itamarst.org/software">http://itamarst.org/software</a>.</p>
</dd>
</dl>
<h3>Tools</h3>
<dl>
@@ -338,7 +430,7 @@
15 July, 2003</p>
<p><i>&copy; Copyright <a href="../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002-2003. All Rights Reserved.</i></p>
Abrahams</a> 2002-2003.</i></p>
</body>
</html>

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@@ -16,7 +16,7 @@
<tr>
<td valign="top" width="300">
<h3><a href="../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">

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@@ -0,0 +1,12 @@
project boost/libs/python/doc/tutorial/doc ;
import boostbook : boostbook ;
using quickbook ;
boostbook tutorial
:
tutorial.qbk
:
<xsl:param>boost.root=../../../../../..
<xsl:param>boost.libraries=../../../../../../libs/libraries.htm
;

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@@ -1,112 +0,0 @@
<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
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<p>
It was mentioned in passing in the previous section that
<tt>BOOST_PYTHON_FUNCTION_OVERLOADS</tt> and <tt>BOOST_PYTHON_FUNCTION_OVERLOADS</tt>
can also be used for overloaded functions and member functions with a
common sequence of initial arguments. Here is an example:</p>
<code><pre>
<span class=keyword>void </span><span class=identifier>foo</span><span class=special>()
{
/*...*/
}
</span><span class=keyword>void </span><span class=identifier>foo</span><span class=special>(</span><span class=keyword>bool </span><span class=identifier>a</span><span class=special>)
{
/*...*/
}
</span><span class=keyword>void </span><span class=identifier>foo</span><span class=special>(</span><span class=keyword>bool </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>b</span><span class=special>)
{
/*...*/
}
</span><span class=keyword>void </span><span class=identifier>foo</span><span class=special>(</span><span class=keyword>bool </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>b</span><span class=special>, </span><span class=keyword>char </span><span class=identifier>c</span><span class=special>)
{
/*...*/
}
</span></pre></code>
<p>
Like in the previous section, we can generate thin wrappers for these
overloaded functions in one-shot:</p>
<code><pre>
<span class=identifier>BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class=special>(</span><span class=identifier>foo_overloads</span><span class=special>, </span><span class=identifier>foo</span><span class=special>, </span><span class=number>0</span><span class=special>, </span><span class=number>3</span><span class=special>)
</span></pre></code>
<p>
Then...</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;foo&quot;</span><span class=special>, </span><span class=identifier>foo</span><span class=special>, </span><span class=identifier>foo_overloads</span><span class=special>());
</span></pre></code>
<p>
Notice though that we have a situation now where we have a minimum of zero
(0) arguments and a maximum of 3 arguments.</p>
<a name="manual_wrapping"></a><h2>Manual Wrapping</h2><p>
It is important to emphasize however that <b>the overloaded functions must
have a common sequence of initial arguments</b>. Otherwise, our scheme above
will not work. If this is not the case, we have to wrap our functions
<a href="overloading.html">
manually</a>.</p>
<p>
Actually, we can mix and match manual wrapping of overloaded functions and
automatic wrapping through <tt>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> and
its sister, <tt>BOOST_PYTHON_FUNCTION_OVERLOADS</tt>. Following up on our example
presented in the section <a href="overloading.html">
on overloading</a>, since the
first 4 overload functins have a common sequence of initial arguments, we
can use <tt>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> to automatically wrap the
first three of the <tt>def</tt>s and manually wrap just the last. Here's
how we'll do this:</p>
<code><pre>
<span class=identifier>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class=special>(</span><span class=identifier>xf_overloads</span><span class=special>, </span><span class=identifier>f</span><span class=special>, </span><span class=number>1</span><span class=special>, </span><span class=number>4</span><span class=special>)
</span></pre></code>
<p>
Create a member function pointers as above for both X::f overloads:</p>
<code><pre>
<span class=keyword>bool </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx1</span><span class=special>)(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>double</span><span class=special>, </span><span class=keyword>char</span><span class=special>) = &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span><span class=keyword>int </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx2</span><span class=special>)(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>int</span><span class=special>, </span><span class=keyword>int</span><span class=special>) = &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span></pre></code>
<p>
Then...</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx1</span><span class=special>, </span><span class=identifier>xf_overloads</span><span class=special>());
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx2</span><span class=special>)
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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@@ -1,77 +0,0 @@
<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Basic Interface</b></font>
</td>
</tr>
</table>
<br>
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<p>
Class <tt>object</tt> wraps <tt>PyObject*</tt>. All the intricacies of dealing with
<tt>PyObject</tt>s such as managing reference counting are handled by the
<tt>object</tt> class. C++ object interoperability is seamless. Boost.Python C++
<tt>object</tt>s can in fact be explicitly constructed from any C++ object.</p>
<p>
To illustrate, this Python code snippet:</p>
<code><pre>
<span class=identifier>def </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>x</span><span class=special>, </span><span class=identifier>y</span><span class=special>):
</span><span class=keyword>if </span><span class=special>(</span><span class=identifier>y </span><span class=special>== </span><span class=literal>'foo'</span><span class=special>):
</span><span class=identifier>x</span><span class=special>[</span><span class=number>3</span><span class=special>:</span><span class=number>7</span><span class=special>] = </span><span class=literal>'bar'
</span><span class=keyword>else</span><span class=special>:
</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>items </span><span class=special>+= </span><span class=identifier>y</span><span class=special>(</span><span class=number>3</span><span class=special>, </span><span class=identifier>x</span><span class=special>)
</span><span class=keyword>return </span><span class=identifier>x
</span><span class=identifier>def </span><span class=identifier>getfunc</span><span class=special>():
</span><span class=keyword>return </span><span class=identifier>f</span><span class=special>;
</span></pre></code>
<p>
Can be rewritten in C++ using Boost.Python facilities this way:</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>object </span><span class=identifier>x</span><span class=special>, </span><span class=identifier>object </span><span class=identifier>y</span><span class=special>) {
</span><span class=keyword>if </span><span class=special>(</span><span class=identifier>y </span><span class=special>== </span><span class=string>&quot;foo&quot;</span><span class=special>)
</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>slice</span><span class=special>(</span><span class=number>3</span><span class=special>,</span><span class=number>7</span><span class=special>) = </span><span class=string>&quot;bar&quot;</span><span class=special>;
</span><span class=keyword>else
</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;items&quot;</span><span class=special>) += </span><span class=identifier>y</span><span class=special>(</span><span class=number>3</span><span class=special>, </span><span class=identifier>x</span><span class=special>);
</span><span class=keyword>return </span><span class=identifier>x</span><span class=special>;
}
</span><span class=identifier>object </span><span class=identifier>getfunc</span><span class=special>() {
</span><span class=keyword>return </span><span class=identifier>object</span><span class=special>(</span><span class=identifier>f</span><span class=special>);
}
</span></pre></code>
<p>
Apart from cosmetic differences due to the fact that we are writing the
code in C++, the look and feel should be immediately apparent to the Python
coder.</p>
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<tr>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
</body>
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@@ -1,196 +0,0 @@
<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Building Hello World</title>
<link rel="stylesheet" href="theme/style.css" type="text/css">
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<td><img src="theme/c%2B%2Bboost.gif">
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Building Hello World</b></font>
</td>
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<br>
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<tr>
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<a name="from_start_to_finish"></a><h2>From Start To Finish</h2><p>
Now the first thing you'd want to do is to build the Hello World module and
try it for yourself in Python. In this section, we shall outline the steps
necessary to achieve that. We shall use the build tool that comes bundled
with every boost distribution: <b>bjam</b>.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/lens.gif"></img> <b>Building without bjam</b><br><br>
Besides bjam, there are of course other ways to get your module built.
What's written here should not be taken as &quot;the one and only way&quot;.
There are of course other build tools apart from <tt>bjam</tt>.
Take note however that the preferred build tool for Boost.Python is bjam.
There are so many ways to set up the build incorrectly. Experience shows
that 90% of the &quot;I can't build Boost.Python&quot; problems come from people
who had to use a different tool.
</td>
</tr>
</table>
<p>
We shall skip over the details. Our objective will be to simply create the
hello world module and run it in Python. For a complete reference to
building Boost.Python, check out: <a href="../../building.html">
building.html</a>.
After this brief <i>bjam</i> tutorial, we should have built two DLLs:</p>
<ul><li>boost_python.dll</li><li>hello.pyd</li></ul><p>
if you are on Windows, and</p>
<ul><li>libboost_python.so</li><li>hello.so</li></ul><p>
if you are on Unix.</p>
<p>
The tutorial example can be found in the directory:
<tt>libs/python/example/tutorial</tt>. There, you can find:</p>
<ul><li>hello.cpp</li><li>Jamfile</li></ul><p>
The <tt>hello.cpp</tt> file is our C++ hello world example. The <tt>Jamfile</tt> is a
minimalist <i>bjam</i> script that builds the DLLs for us.</p>
<p>
Before anything else, you should have the bjam executable in your boost
directory or somewhere in your path such that <tt>bjam</tt> can be executed in
the command line. Pre-built Boost.Jam executables are available for most
platforms. For example, a pre-built Microsoft Windows bjam executable can
be downloaded <a href="http://boost.sourceforge.net/jam-executables/bin.ntx86/bjam.zip">
here</a>.
The complete list of bjam pre-built
executables can be found <a href="../../../../../tools/build/index.html#Jam">
here</a>.</p>
<a name="lets_jam_"></a><h2>Lets Jam!</h2><p>
<img src="theme/jam.png"></img></p>
<p>
Here is our minimalist Jamfile:</p>
<code><pre>
subproject libs/python/example/tutorial ;
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
extension hello # Declare a Python extension called hello
: hello.cpp # source
&lt;dll&gt;../../build/boost_python # dependencies
;
</pre></code><p>
First, we need to specify our location in the boost project hierarchy.
It so happens that the tutorial example is located in <tt>/libs/python/example/tutorial</tt>.
Thus:</p>
<code><pre>
subproject libs/python/example/tutorial ;
</pre></code><p>
Then we will include the definitions needed by Python modules:</p>
<code><pre>
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
</pre></code><p>
Finally we declare our <tt>hello</tt> extension:</p>
<code><pre>
extension hello # Declare a Python extension called hello
: hello.cpp # source
&lt;dll&gt;../../build/boost_python # dependencies
;
</pre></code><a name="running_bjam"></a><h2>Running bjam</h2><p>
<i>bjam</i> is run using your operating system's command line interpreter.</p>
<blockquote><p>Start it up.</p></blockquote><p>
Make sure that the environment is set so that we can invoke the C++
compiler. With MSVC, that would mean running the <tt>Vcvars32.bat</tt> batch
file. For instance:</p>
<code><pre>
<span class=identifier>C</span><span class=special>:\</span><span class=identifier>Program </span><span class=identifier>Files</span><span class=special>\</span><span class=identifier>Microsoft </span><span class=identifier>Visual </span><span class=identifier>Studio</span><span class=special>\</span><span class=identifier>VC98</span><span class=special>\</span><span class=identifier>bin</span><span class=special>\</span><span class=identifier>Vcvars32</span><span class=special>.</span><span class=identifier>bat
</span></pre></code>
<p>
Some environment variables will have to be setup for proper building of our
Python modules. Example:</p>
<code><pre>
<span class=identifier>set </span><span class=identifier>PYTHON_ROOT</span><span class=special>=</span><span class=identifier>c</span><span class=special>:/</span><span class=identifier>dev</span><span class=special>/</span><span class=identifier>tools</span><span class=special>/</span><span class=identifier>python
</span><span class=identifier>set </span><span class=identifier>PYTHON_VERSION</span><span class=special>=</span><span class=number>2.2
</span></pre></code>
<p>
The above assumes that the Python installation is in <tt>c:/dev/tools/python</tt>
and that we are using Python version 2.2. You'll have to tweak this path
appropriately. <img src="theme/note.gif"></img> Be sure not to include a third number, e.g. <b>not</b> &quot;2.2.1&quot;,
even if that's the version you have.</p>
<p>
Now we are ready... Be sure to <tt>cd</tt> to <tt>libs/python/example/tutorial</tt>
where the tutorial <tt>&quot;hello.cpp&quot;</tt> and the <tt>&quot;Jamfile&quot;</tt> is situated.</p>
<p>
Finally:</p>
<code><pre>
<span class=identifier>bjam </span><span class=special>-</span><span class=identifier>sTOOLS</span><span class=special>=</span><span class=identifier>msvc
</span></pre></code>
<p>
We are again assuming that we are using Microsoft Visual C++ version 6. If
not, then you will have to specify the appropriate tool. See
<a href="../../../../../tools/build/index.html">
Building Boost Libraries</a> for
further details.</p>
<p>
It should be building now:</p>
<code><pre>
cd C:\dev\boost\libs\python\example\tutorial
bjam -sTOOLS=msvc
...patience...
...found 1703 targets...
...updating 40 targets...
</pre></code><p>
And so on... Finally:</p>
<code><pre>
vc-C++ ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\msvc\debug\
runtime-link-dynamic\hello.obj
hello.cpp
vc-Link ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\msvc\debug\
runtime-link-dynamic\hello.pyd ..\..\..\..\libs\python\example\tutorial\bin\
hello.pyd\msvc\debug\runtime-link-dynamic\hello.lib
Creating library ..\..\..\..\libs\python\example\tutorial\bin\hello.pyd\
msvc\debug\runtime-link-dynamic\hello.lib and object ..\..\..\..\libs\python\
example\tutorial\bin\hello.pyd\msvc\debug\runtime-link-dynamic\hello.exp
...updated 40 targets...
</pre></code><p>
If all is well, you should now have:</p>
<ul><li>boost_python.dll</li><li>hello.pyd</li></ul><p>
if you are on Windows, and</p>
<ul><li>libboost_python.so</li><li>hello.so</li></ul><p>
if you are on Unix.</p>
<p>
<tt>boost_python.dll</tt> can be found somewhere in <tt>libs\python\build\bin</tt>
while <tt>hello.pyd</tt> can be found somewhere in
<tt>libs\python\example\tutorial\bin</tt>. After a successful build, you can just
link in these DLLs with the Python interpreter. In Windows for example, you
can simply put these libraries inside the directory where the Python
executable is.</p>
<p>
You may now fire up Python and run our hello module:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>hello
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>print </span><span class=identifier>hello</span><span class=special>.</span><span class=identifier>greet</span><span class=special>()
</span><span class=identifier>hello</span><span class=special>, </span><span class=identifier>world
</span></pre></code>
<blockquote><p><b>There you go... Have fun!</b></p></blockquote><table border="0">
<tr>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Call Policies</title>
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</td>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Call Policies</b></font>
</td>
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<br>
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<p>
In C++, we often deal with arguments and return types such as pointers
and references. Such primitive types are rather, ummmm, low level and
they really don't tell us much. At the very least, we don't know the
owner of the pointer or the referenced object. No wonder languages
such as Java and Python never deal with such low level entities. In
C++, it's usually considered a good practice to use smart pointers
which exactly describe ownership semantics. Still, even good C++
interfaces use raw references and pointers sometimes, so Boost.Python
must deal with them. To do this, it may need your help. Consider the
following C++ function:</p>
<code><pre>
<span class=identifier>X</span><span class=special>&amp; </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>Y</span><span class=special>&amp; </span><span class=identifier>y</span><span class=special>, </span><span class=identifier>Z</span><span class=special>* </span><span class=identifier>z</span><span class=special>);
</span></pre></code>
<p>
How should the library wrap this function? A naive approach builds a
Python X object around result reference. This strategy might or might
not work out. Here's an example where it didn't</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>y</span><span class=special>, </span><span class=identifier>z</span><span class=special>) </span>##<span class=identifier>x </span><span class=identifier>refers </span><span class=identifier>to </span><span class=identifier>some </span><span class=identifier>C</span><span class=special>++ </span><span class=identifier>X
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>del </span><span class=identifier>y
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>some_method</span><span class=special>() </span>##<span class=identifier>CRASH</span><span class=special>!
</span></pre></code>
<p>
What's the problem?</p>
<p>
Well, what if f() was implemented as shown below:</p>
<code><pre>
<span class=identifier>X</span><span class=special>&amp; </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>Y</span><span class=special>&amp; </span><span class=identifier>y</span><span class=special>, </span><span class=identifier>Z</span><span class=special>* </span><span class=identifier>z</span><span class=special>)
{
</span><span class=identifier>y</span><span class=special>.</span><span class=identifier>z </span><span class=special>= </span><span class=identifier>z</span><span class=special>;
</span><span class=keyword>return </span><span class=identifier>y</span><span class=special>.</span><span class=identifier>x</span><span class=special>;
}
</span></pre></code>
<p>
The problem is that the lifetime of result X&amp; is tied to the lifetime
of y, because the f() returns a reference to a member of the y
object. This idiom is is not uncommon and perfectly acceptable in the
context of C++. However, Python users should not be able to crash the
system just by using our C++ interface. In this case deleting y will
invalidate the reference to X. We have a dangling reference.</p>
<p>
Here's what's happening:</p>
<ol><li><tt>f</tt> is called passing in a reference to <tt>y</tt> and a pointer to <tt>z</tt></li><li>A reference to <tt>y.x</tt> is returned</li><li><tt>y</tt> is deleted. <tt>x</tt> is a dangling reference</li><li><tt>x.some_method()</tt> is called</li><li><b>BOOM!</b></li></ol><p>
We could copy result into a new object:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>y</span><span class=special>, </span><span class=identifier>z</span><span class=special>).</span><span class=identifier>set</span><span class=special>(</span><span class=number>42</span><span class=special>) </span>##<span class=identifier>Result </span><span class=identifier>disappears
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>y</span><span class=special>.</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>get</span><span class=special>() </span>##<span class=identifier>No </span><span class=identifier>crash</span><span class=special>, </span><span class=identifier>but </span><span class=identifier>still </span><span class=identifier>bad
</span><span class=number>3.14
</span></pre></code>
<p>
This is not really our intent of our C++ interface. We've broken our
promise that the Python interface should reflect the C++ interface as
closely as possible.</p>
<p>
Our problems do not end there. Suppose Y is implemented as follows:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Y
</span><span class=special>{
</span><span class=identifier>X </span><span class=identifier>x</span><span class=special>; </span><span class=identifier>Z</span><span class=special>* </span><span class=identifier>z</span><span class=special>;
</span><span class=keyword>int </span><span class=identifier>z_value</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>z</span><span class=special>-&gt;</span><span class=identifier>value</span><span class=special>(); }
};
</span></pre></code>
<p>
Notice that the data member <tt>z</tt> is held by class Y using a raw
pointer. Now we have a potential dangling pointer problem inside Y:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>y</span><span class=special>, </span><span class=identifier>z</span><span class=special>) </span>##<span class=identifier>y </span><span class=identifier>refers </span><span class=identifier>to </span><span class=identifier>z
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>del </span><span class=identifier>z </span>##<span class=identifier>Kill </span><span class=identifier>the </span><span class=identifier>z </span><span class=identifier>object
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>y</span><span class=special>.</span><span class=identifier>z_value</span><span class=special>() </span>##<span class=identifier>CRASH</span><span class=special>!
</span></pre></code>
<p>
For reference, here's the implementation of <tt>f</tt> again:</p>
<code><pre>
<span class=identifier>X</span><span class=special>&amp; </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>Y</span><span class=special>&amp; </span><span class=identifier>y</span><span class=special>, </span><span class=identifier>Z</span><span class=special>* </span><span class=identifier>z</span><span class=special>)
{
</span><span class=identifier>y</span><span class=special>.</span><span class=identifier>z </span><span class=special>= </span><span class=identifier>z</span><span class=special>;
</span><span class=keyword>return </span><span class=identifier>y</span><span class=special>.</span><span class=identifier>x</span><span class=special>;
}
</span></pre></code>
<p>
Here's what's happening:</p>
<ol><li><tt>f</tt> is called passing in a reference to <tt>y</tt> and a pointer to <tt>z</tt></li><li>A pointer to <tt>z</tt> is held by <tt>y</tt></li><li>A reference to <tt>y.x</tt> is returned</li><li><tt>z</tt> is deleted. <tt>y.z</tt> is a dangling pointer</li><li><tt>y.z_value()</tt> is called</li><li><tt>z-&gt;value()</tt> is called</li><li><b>BOOM!</b></li></ol><a name="call_policies"></a><h2>Call Policies</h2><p>
Call Policies may be used in situations such as the example detailed above.
In our example, <tt>return_internal_reference</tt> and <tt>with_custodian_and_ward</tt>
are our friends:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f</span><span class=special>,
</span><span class=identifier>return_internal_reference</span><span class=special>&lt;</span><span class=number>1</span><span class=special>,
</span><span class=identifier>with_custodian_and_ward</span><span class=special>&lt;</span><span class=number>1</span><span class=special>, </span><span class=number>2</span><span class=special>&gt; &gt;());
</span></pre></code>
<p>
What are the <tt>1</tt> and <tt>2</tt> parameters, you ask?</p>
<code><pre>
<span class=identifier>return_internal_reference</span><span class=special>&lt;</span><span class=number>1
</span></pre></code>
<p>
Informs Boost.Python that the first argument, in our case <tt>Y&amp; y</tt>, is the
owner of the returned reference: <tt>X&amp;</tt>. The &quot;<tt>1</tt>&quot; simply specifies the
first argument. In short: &quot;return an internal reference <tt>X&amp;</tt> owned by the
1st argument <tt>Y&amp; y</tt>&quot;.</p>
<code><pre>
<span class=identifier>with_custodian_and_ward</span><span class=special>&lt;</span><span class=number>1</span><span class=special>, </span><span class=number>2</span><span class=special>&gt;
</span></pre></code>
<p>
Informs Boost.Python that the lifetime of the argument indicated by ward
(i.e. the 2nd argument: <tt>Z* z</tt>) is dependent on the lifetime of the
argument indicated by custodian (i.e. the 1st argument: <tt>Y&amp; y</tt>).</p>
<p>
It is also important to note that we have defined two policies above. Two
or more policies can be composed by chaining. Here's the general syntax:</p>
<code><pre>
<span class=identifier>policy1</span><span class=special>&lt;</span><span class=identifier>args</span><span class=special>...,
</span><span class=identifier>policy2</span><span class=special>&lt;</span><span class=identifier>args</span><span class=special>...,
</span><span class=identifier>policy3</span><span class=special>&lt;</span><span class=identifier>args</span><span class=special>...&gt; &gt; &gt;
</span></pre></code>
<p>
Here is the list of predefined call policies. A complete reference detailing
these can be found <a href="../../v2/reference.html#models_of_call_policies">
here</a>.</p>
<ul><li><b>with_custodian_and_ward</b><br> Ties lifetimes of the arguments</li><li><b>with_custodian_and_ward_postcall</b><br> Ties lifetimes of the arguments and results</li><li><b>return_internal_reference</b><br> Ties lifetime of one argument to that of result</li><li><b>return_value_policy&lt;T&gt; with T one of:</b><br></li><li><b>reference_existing_object</b><br>naïve (dangerous) approach</li><li><b>copy_const_reference</b><br>Boost.Python v1 approach</li><li><b>copy_non_const_reference</b><br></li><li><b>manage_new_object</b><br> Adopt a pointer and hold the instance</li></ul><table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/smiley.gif"></img> <b>Remember the Zen, Luke:</b><br><br>
&quot;Explicit is better than implicit&quot;<br>
&quot;In the face of ambiguity, refuse the temptation to guess&quot;<br> </td>
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</table>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<html>
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<title>Class Data Members</title>
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<br>
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<p>
Data members may also be exposed to Python so that they can be
accessed as attributes of the corresponding Python class. Each data
member that we wish to be exposed may be regarded as <b>read-only</b> or
<b>read-write</b>. Consider this class <tt>Var</tt>:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Var
</span><span class=special>{
</span><span class=identifier>Var</span><span class=special>(</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>name</span><span class=special>) : </span><span class=identifier>name</span><span class=special>(</span><span class=identifier>name</span><span class=special>), </span><span class=identifier>value</span><span class=special>() {}
</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=keyword>const </span><span class=identifier>name</span><span class=special>;
</span><span class=keyword>float </span><span class=identifier>value</span><span class=special>;
};
</span></pre></code>
<p>
Our C++ <tt>Var</tt> class and its data members can be exposed to Python:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Var</span><span class=special>&gt;(</span><span class=string>&quot;Var&quot;</span><span class=special>, </span><span class=identifier>init</span><span class=special>&lt;</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string</span><span class=special>&gt;())
.</span><span class=identifier>def_readonly</span><span class=special>(</span><span class=string>&quot;name&quot;</span><span class=special>, &amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>name</span><span class=special>)
.</span><span class=identifier>def_readwrite</span><span class=special>(</span><span class=string>&quot;value&quot;</span><span class=special>, &amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>value</span><span class=special>);
</span></pre></code>
<p>
Then, in Python, assuming we have placed our Var class inside the namespace
hello as we did before:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>hello</span><span class=special>.</span><span class=identifier>Var</span><span class=special>(</span><span class=literal>'pi'</span><span class=special>)
&gt;&gt;&gt; </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>value </span><span class=special>= </span><span class=number>3.14
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>print </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>name</span><span class=special>, </span><span class=literal>'is around'</span><span class=special>, </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>value
</span><span class=identifier>pi </span><span class=identifier>is </span><span class=identifier>around </span><span class=number>3.14
</span></pre></code>
<p>
Note that <tt>name</tt> is exposed as <b>read-only</b> while <tt>value</tt> is exposed
as <b>read-write</b>.</p>
<code><pre>
&gt;&gt;&gt; x.name = 'e' # can't change name
Traceback (most recent call last):
File &quot;&lt;stdin&gt;&quot;, line 1, in ?
AttributeError: can't set attribute
</pre></code><table border="0">
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<a name="python_operators"></a><h2>Python Operators</h2><p>
C is well known for the abundance of operators. C++ extends this to the
extremes by allowing operator overloading. Boost.Python takes advantage of
this and makes it easy to wrap C++ operator-powered classes.</p>
<p>
Consider a file position class <tt>FilePos</tt> and a set of operators that take
on FilePos instances:</p>
<code><pre>
<span class=keyword>class </span><span class=identifier>FilePos </span><span class=special>{ /*...*/ };
</span><span class=identifier>FilePos </span><span class=keyword>operator</span><span class=special>+(</span><span class=identifier>FilePos</span><span class=special>, </span><span class=keyword>int</span><span class=special>);
</span><span class=identifier>FilePos </span><span class=keyword>operator</span><span class=special>+(</span><span class=keyword>int</span><span class=special>, </span><span class=identifier>FilePos</span><span class=special>);
</span><span class=keyword>int </span><span class=keyword>operator</span><span class=special>-(</span><span class=identifier>FilePos</span><span class=special>, </span><span class=identifier>FilePos</span><span class=special>);
</span><span class=identifier>FilePos </span><span class=keyword>operator</span><span class=special>-(</span><span class=identifier>FilePos</span><span class=special>, </span><span class=keyword>int</span><span class=special>);
</span><span class=identifier>FilePos</span><span class=special>&amp; </span><span class=keyword>operator</span><span class=special>+=(</span><span class=identifier>FilePos</span><span class=special>&amp;, </span><span class=keyword>int</span><span class=special>);
</span><span class=identifier>FilePos</span><span class=special>&amp; </span><span class=keyword>operator</span><span class=special>-=(</span><span class=identifier>FilePos</span><span class=special>&amp;, </span><span class=keyword>int</span><span class=special>);
</span><span class=keyword>bool </span><span class=keyword>operator</span><span class=special>&lt;(</span><span class=identifier>FilePos</span><span class=special>, </span><span class=identifier>FilePos</span><span class=special>);
</span></pre></code>
<p>
The class and the various operators can be mapped to Python rather easily
and intuitively:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>FilePos</span><span class=special>&gt;(</span><span class=string>&quot;FilePos&quot;</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>+ </span><span class=keyword>int</span><span class=special>()) // </span><span class=identifier>__add__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=keyword>int</span><span class=special>() + </span><span class=identifier>self</span><span class=special>) // </span><span class=identifier>__radd__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>- </span><span class=identifier>self</span><span class=special>) // </span><span class=identifier>__sub__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>- </span><span class=keyword>int</span><span class=special>()) // </span><span class=identifier>__sub__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>+= </span><span class=keyword>int</span><span class=special>()) // </span><span class=identifier>__iadd__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>-= </span><span class=identifier>other</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;())
.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>self </span><span class=special>&lt; </span><span class=identifier>self</span><span class=special>); // </span><span class=identifier>__lt__
</span></pre></code>
<p>
The code snippet above is very clear and needs almost no explanation at
all. It is virtually the same as the operators' signatures. Just take
note that <tt>self</tt> refers to FilePos object. Also, not every class <tt>T</tt> that
you might need to interact with in an operator expression is (cheaply)
default-constructible. You can use <tt>other&lt;T&gt;()</tt> in place of an actual
<tt>T</tt> instance when writing &quot;self expressions&quot;.</p>
<a name="special_methods"></a><h2>Special Methods</h2><p>
Python has a few more <i>Special Methods</i>. Boost.Python supports all of the
standard special method names supported by real Python class instances. A
similar set of intuitive interfaces can also be used to wrap C++ functions
that correspond to these Python <i>special functions</i>. Example:</p>
<code><pre>
<span class=keyword>class </span><span class=identifier>Rational
</span><span class=special>{ </span><span class=keyword>operator </span><span class=keyword>double</span><span class=special>() </span><span class=keyword>const</span><span class=special>; };
</span><span class=identifier>Rational </span><span class=identifier>pow</span><span class=special>(</span><span class=identifier>Rational</span><span class=special>, </span><span class=identifier>Rational</span><span class=special>);
</span><span class=identifier>Rational </span><span class=identifier>abs</span><span class=special>(</span><span class=identifier>Rational</span><span class=special>);
</span><span class=identifier>ostream</span><span class=special>&amp; </span><span class=keyword>operator</span><span class=special>&lt;&lt;(</span><span class=identifier>ostream</span><span class=special>&amp;,</span><span class=identifier>Rational</span><span class=special>);
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Rational</span><span class=special>&gt;()
.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>float_</span><span class=special>(</span><span class=identifier>self</span><span class=special>)) // </span><span class=identifier>__float__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>pow</span><span class=special>(</span><span class=identifier>self</span><span class=special>, </span><span class=identifier>other</span><span class=special>&lt;</span><span class=identifier>Rational</span><span class=special>&gt;)) // </span><span class=identifier>__pow__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>abs</span><span class=special>(</span><span class=identifier>self</span><span class=special>)) // </span><span class=identifier>__abs__
</span><span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>str</span><span class=special>(</span><span class=identifier>self</span><span class=special>)) // </span><span class=identifier>__str__
</span><span class=special>;
</span></pre></code>
<p>
Need we say more?</p>
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<td class="note_box">
<img src="theme/lens.gif"></img> What is the business of <tt>operator&lt;&lt;</tt> <tt>.def(str(self))</tt>?
Well, the method <tt>str</tt> requires the <tt>operator&lt;&lt;</tt> to do its work (i.e.
<tt>operator&lt;&lt;</tt> is used by the method defined by def(str(self)). </td>
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<p>
In C++, classes with public data members are usually frowned
upon. Well designed classes that take advantage of encapsulation hide
the class' data members. The only way to access the class' data is
through access (getter/setter) functions. Access functions expose class
properties. Here's an example:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Num
</span><span class=special>{
</span><span class=identifier>Num</span><span class=special>();
</span><span class=keyword>float </span><span class=identifier>get</span><span class=special>() </span><span class=keyword>const</span><span class=special>;
</span><span class=keyword>void </span><span class=identifier>set</span><span class=special>(</span><span class=keyword>float </span><span class=identifier>value</span><span class=special>);
...
};
</span></pre></code>
<p>
However, in Python attribute access is fine; it doesn't neccessarily break
encapsulation to let users handle attributes directly, because the
attributes can just be a different syntax for a method call. Wrapping our
<tt>Num</tt> class using Boost.Python:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Num</span><span class=special>&gt;(</span><span class=string>&quot;Num&quot;</span><span class=special>)
.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;rovalue&quot;</span><span class=special>, &amp;</span><span class=identifier>Num</span><span class=special>::</span><span class=identifier>get</span><span class=special>)
.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;value&quot;</span><span class=special>, &amp;</span><span class=identifier>Num</span><span class=special>::</span><span class=identifier>get</span><span class=special>, &amp;</span><span class=identifier>Num</span><span class=special>::</span><span class=identifier>set</span><span class=special>);
</span></pre></code>
<p>
And at last, in Python:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>Num</span><span class=special>()
&gt;&gt;&gt; </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>value </span><span class=special>= </span><span class=number>3.14
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>value</span><span class=special>, </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>rovalue
</span><span class=special>(</span><span class=number>3.14</span><span class=special>, </span><span class=number>3.14</span><span class=special>)
&gt;&gt;&gt; </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>rovalue </span><span class=special>= </span><span class=number>2.17 </span>##<span class=identifier>error</span><span class=special>!
</span></pre></code>
<p>
Take note that the class property <tt>rovalue</tt> is exposed as <b>read-only</b>
since the <tt>rovalue</tt> setter member function is not passed in:</p>
<code><pre>
<span class=special>.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;rovalue&quot;</span><span class=special>, &amp;</span><span class=identifier>Num</span><span class=special>::</span><span class=identifier>get</span><span class=special>)
</span></pre></code>
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<p>
In this section, we shall learn how to make functions behave
polymorphically through virtual functions. Continuing our example, let us
add a virtual function to our <tt>Base</tt> class:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Base
</span><span class=special>{
</span><span class=keyword>virtual </span><span class=keyword>int </span><span class=identifier>f</span><span class=special>() = </span><span class=number>0</span><span class=special>;
};
</span></pre></code>
<p>
Since <tt>f</tt> is a pure virtual function, <tt>Base</tt> is now an abstract
class. Given an instance of our class, the free function <tt>call_f</tt>
calls some implementation of this virtual function in a concrete
derived class:</p>
<code><pre>
<span class=keyword>int </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>Base</span><span class=special>&amp; </span><span class=identifier>b</span><span class=special>) { </span><span class=keyword>return </span><span class=identifier>b</span><span class=special>.</span><span class=identifier>f</span><span class=special>(); }
</span></pre></code>
<p>
To allow this function to be implemented in a Python derived class, we
need to create a class wrapper:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>BaseWrap </span><span class=special>: </span><span class=identifier>Base
</span><span class=special>{
</span><span class=identifier>BaseWrap</span><span class=special>(</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self_</span><span class=special>)
: </span><span class=identifier>self</span><span class=special>(</span><span class=identifier>self_</span><span class=special>) {}
</span><span class=keyword>int </span><span class=identifier>f</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>call_method</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>self</span><span class=special>, </span><span class=string>&quot;f&quot;</span><span class=special>); }
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
};
</span></pre></code>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/lens.gif"></img> <b>member function and methods</b><br><br> Python, like
many object oriented languages uses the term <b>methods</b>. Methods
correspond roughly to C++'s <b>member functions</b> </td>
</tr>
</table>
<p>
Our class wrapper <tt>BaseWrap</tt> is derived from <tt>Base</tt>. Its overridden
virtual member function <tt>f</tt> in effect calls the corresponding method
of the Python object <tt>self</tt>, which is a pointer back to the Python
<tt>Base</tt> object holding our <tt>BaseWrap</tt> instance.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/note.gif"></img> <b>Why do we need BaseWrap?</b><br><br>
<i>You may ask</i>, &quot;Why do we need the <tt>BaseWrap</tt> derived class? This could
have been designed so that everything gets done right inside of
Base.&quot;<br><br>
One of the goals of Boost.Python is to be minimally intrusive on an
existing C++ design. In principle, it should be possible to expose the
interface for a 3rd party library without changing it. To unintrusively
hook into the virtual functions so that a Python override may be called, we
must use a derived class.<br><br>
Note however that you don't need to do this to get methods overridden
in Python to behave virtually when called <i>from</i> <b>Python</b>. The only
time you need to do the <tt>BaseWrap</tt> dance is when you have a virtual
function that's going to be overridden in Python and called
polymorphically <i>from</i> <b>C++</b>. </td>
</tr>
</table>
<p>
Wrapping <tt>Base</tt> and the free function <tt>call_f</tt>:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>, </span><span class=identifier>BaseWrap</span><span class=special>, </span><span class=identifier>boost</span><span class=special>::</span><span class=identifier>noncopyable</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>, </span><span class=identifier>no_init</span><span class=special>)
;
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;call_f&quot;</span><span class=special>, </span><span class=identifier>call_f</span><span class=special>);
</span></pre></code>
<p>
Notice that we parameterized the <tt>class_</tt> template with <tt>BaseWrap</tt> as the
second parameter. What is <tt>noncopyable</tt>? Without it, the library will try
to create code for converting Base return values of wrapped functions to
Python. To do that, it needs Base's copy constructor... which isn't
available, since Base is an abstract class.</p>
<p>
In Python, let us try to instantiate our <tt>Base</tt> class:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>base </span><span class=special>= </span><span class=identifier>Base</span><span class=special>()
</span><span class=identifier>RuntimeError</span><span class=special>: </span><span class=identifier>This </span><span class=keyword>class </span><span class=identifier>cannot </span><span class=identifier>be </span><span class=identifier>instantiated </span><span class=identifier>from </span><span class=identifier>Python
</span></pre></code>
<p>
Why is it an error? <tt>Base</tt> is an abstract class. As such it is advisable
to define the Python wrapper with <tt>no_init</tt> as we have done above. Doing
so will disallow abstract base classes such as <tt>Base</tt> to be instantiated.</p>
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<p>
Our previous example didn't have any explicit constructors.
Since <tt>World</tt> is declared as a plain struct, it has an implicit default
constructor. Boost.Python exposes the default constructor by default,
which is why we were able to write</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>planet </span><span class=special>= </span><span class=identifier>hello</span><span class=special>.</span><span class=identifier>World</span><span class=special>()
</span></pre></code>
<p>
We may wish to wrap a class with a non-default constructor. Let us
build on our previous example:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>World
</span><span class=special>{
</span><span class=identifier>World</span><span class=special>(</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>msg</span><span class=special>): </span><span class=identifier>msg</span><span class=special>(</span><span class=identifier>msg</span><span class=special>) {} // </span><span class=identifier>added </span><span class=identifier>constructor
</span><span class=keyword>void </span><span class=identifier>set</span><span class=special>(</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>msg</span><span class=special>) { </span><span class=keyword>this</span><span class=special>-&gt;</span><span class=identifier>msg </span><span class=special>= </span><span class=identifier>msg</span><span class=special>; }
</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>greet</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>msg</span><span class=special>; }
</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>msg</span><span class=special>;
};
</span></pre></code>
<p>
This time <tt>World</tt> has no default constructor; our previous
wrapping code would fail to compile when the library tried to expose
it. We have to tell <tt>class_&lt;World&gt;</tt> about the constructor we want to
expose instead.</p>
<code><pre>
<span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=keyword>using </span><span class=keyword>namespace </span><span class=identifier>boost</span><span class=special>::</span><span class=identifier>python</span><span class=special>;
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>hello</span><span class=special>)
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>World</span><span class=special>&gt;(</span><span class=string>&quot;World&quot;</span><span class=special>, </span><span class=identifier>init</span><span class=special>&lt;</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string</span><span class=special>&gt;())
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>greet</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;set&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>set</span><span class=special>)
;
}
</span></pre></code>
<p>
<tt>init&lt;std::string&gt;()</tt> exposes the constructor taking in a
<tt>std::string</tt> (in Python, constructors are spelled
&quot;<tt>&quot;__init__&quot;</tt>&quot;).</p>
<p>
We can expose additional constructors by passing more <tt>init&lt;...&gt;</tt>s to
the <tt>def()</tt> member function. Say for example we have another World
constructor taking in two doubles:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>World</span><span class=special>&gt;(</span><span class=string>&quot;World&quot;</span><span class=special>, </span><span class=identifier>init</span><span class=special>&lt;</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string</span><span class=special>&gt;())
.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>init</span><span class=special>&lt;</span><span class=keyword>double</span><span class=special>, </span><span class=keyword>double</span><span class=special>&gt;())
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>greet</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;set&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>set</span><span class=special>)
;
</span></pre></code>
<p>
On the other hand, if we do not wish to expose any constructors at
all, we may use <tt>no_init</tt> instead:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Abstract</span><span class=special>&gt;(</span><span class=string>&quot;Abstract&quot;</span><span class=special>, </span><span class=identifier>no_init</span><span class=special>)
</span></pre></code>
<p>
This actually adds an <tt>__init__</tt> method which always raises a
Python RuntimeError exception.</p>
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<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Creating Packages</b></font>
</td>
</tr>
</table>
<br>
<table border="0">
<tr>
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<p>
A Python package is a collection of modules that provide to the user a certain
functionality. If you're not familiar on how to create packages, a good
introduction to them is provided in the
<a href="http://www.python.org/doc/current/tut/node8.html">
Python Tutorial</a>.</p>
<p>
But we are wrapping C++ code, using Boost.Python. How can we provide a nice
package interface to our users? To better explain some concepts, let's work
with an example.</p>
<p>
We have a C++ library that works with sounds: reading and writing various
formats, applying filters to the sound data, etc. It is named (conveniently)
<tt>sounds</tt>. Our library already has a neat C++ namespace hierarchy, like so: </p>
<code><pre>
<span class=identifier>sounds</span><span class=special>::</span><span class=identifier>core
</span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>io
</span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>filters
</span></pre></code>
<p>
We would like to present this same hierarchy to the Python user, allowing him
to write code like this:</p>
<code><pre>
<span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters
</span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters</span><span class=special>.</span><span class=identifier>echo</span><span class=special>(...) </span>##<span class=identifier>echo </span><span class=identifier>is </span><span class=identifier>a </span><span class=identifier>C</span><span class=special>++ </span><span class=identifier>function
</span></pre></code>
<p>
The first step is to write the wrapping code. We have to export each module
separately with Boost.Python, like this:</p>
<code><pre>
<span class=comment>/* file core.cpp */
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>core</span><span class=special>)
{
/* </span><span class=keyword>export </span><span class=identifier>everything </span><span class=identifier>in </span><span class=identifier>the </span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>core </span><span class=keyword>namespace </span><span class=special>*/
...
}
/* </span><span class=identifier>file </span><span class=identifier>io</span><span class=special>.</span><span class=identifier>cpp </span><span class=special>*/
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>io</span><span class=special>)
{
/* </span><span class=keyword>export </span><span class=identifier>everything </span><span class=identifier>in </span><span class=identifier>the </span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>io </span><span class=keyword>namespace </span><span class=special>*/
...
}
/* </span><span class=identifier>file </span><span class=identifier>filters</span><span class=special>.</span><span class=identifier>cpp </span><span class=special>*/
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>filters</span><span class=special>)
{
/* </span><span class=keyword>export </span><span class=identifier>everything </span><span class=identifier>in </span><span class=identifier>the </span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>filters </span><span class=keyword>namespace </span><span class=special>*/
...
}
</span></pre></code>
<p>
Compiling these files will generate the following Python extensions:
<tt>core.pyd</tt>, <tt>io.pyd</tt> and <tt>filters.pyd</tt>.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/note.gif"></img> The extension <tt>.pyd</tt> is used for python extension modules, which
are just shared libraries. Using the default for your system, like <tt>.so</tt> for
Unix and <tt>.dll</tt> for Windows, works just as well. </td>
</tr>
</table>
<p>
Now, we create this directory structure for our Python package:</p>
<code><pre>
sounds/
__init__.py
core.pyd
filters.pyd
io.pyd
</pre></code><p>
The file <tt>__init__.py</tt> is what tells Python that the directory <tt>sounds/</tt> is
actually a Python package. It can be a empty file, but can also perform some
magic, that will be shown later. </p>
<p>
Now our package is ready. All the user has to do is put <tt>sounds</tt> into his
<a href="http://www.python.org/doc/current/tut/node8.html#SECTION008110000000000000000">
PYTHONPATH</a> and fire up the interpreter:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>io
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>sound </span><span class=special>= </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>io</span><span class=special>.</span><span class=identifier>open</span><span class=special>(</span><span class=literal>'file.mp3'</span><span class=special>)
&gt;&gt;&gt; </span><span class=identifier>new_sound </span><span class=special>= </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters</span><span class=special>.</span><span class=identifier>echo</span><span class=special>(</span><span class=identifier>sound</span><span class=special>, </span><span class=number>1.0</span><span class=special>)
</span></pre></code>
<p>
Nice heh? </p>
<p>
This is the simplest way to create hierarchies of packages, but it is not very
flexible. What if we want to add a <i>pure</i> Python function to the filters
package, for instance, one that applies 3 filters in a sound object at once?
Sure, you can do this in C++ and export it, but why not do so in Python? You
don't have to recompile the extension modules, plus it will be easier to write
it.</p>
<p>
If we want this flexibility, we will have to complicate our package hierarchy a
little. First, we will have to change the name of the extension modules:</p>
<code><pre>
<span class=comment>/* file core.cpp */
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>_core</span><span class=special>)
{
...
/* </span><span class=keyword>export </span><span class=identifier>everything </span><span class=identifier>in </span><span class=identifier>the </span><span class=identifier>sounds</span><span class=special>::</span><span class=identifier>core </span><span class=keyword>namespace </span><span class=special>*/
}
</span></pre></code>
<p>
Note that we added an underscore to the module name. The filename will have to
be changed to <tt>_core.pyd</tt> as well, and we do the same to the other extension modules.
Now, we change our package hierarchy like so:</p>
<code><pre>
sounds/
__init__.py
core/
__init__.py
_core.pyd
filters/
__init__.py
_filters.pyd
io/
__init__.py
_io.pyd
</pre></code><p>
Note that we created a directory for each extension module, and added a
__init__.py to each one. But if we leave it that way, the user will have to
access the functions in the core module with this syntax: </p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>core</span><span class=special>.</span><span class=identifier>_core
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>core</span><span class=special>.</span><span class=identifier>_core</span><span class=special>.</span><span class=identifier>foo</span><span class=special>(...)
</span></pre></code>
<p>
which is not what we want. But here enters the <tt>__init__.py</tt> magic: everything
that is brought to the <tt>__init__.py</tt> namespace can be accessed directly by the
user. So, all we have to do is bring the entire namespace from <tt>_core.pyd</tt>
to <tt>core/__init__.py</tt>. So add this line of code to <tt>sounds/core/__init__.py</tt>:</p>
<code><pre>
<span class=identifier>from </span><span class=identifier>_core </span><span class=identifier>import </span><span class=special>*
</span></pre></code>
<p>
We do the same for the other packages. Now the user accesses the functions and
classes in the extension modules like before:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters</span><span class=special>.</span><span class=identifier>echo</span><span class=special>(...)
</span></pre></code>
<p>
with the additional benefit that we can easily add pure Python functions to
any module, in a way that the user can't tell the difference between a C++
function and a Python function. Let's add a <i>pure</i> Python function,
<tt>echo_noise</tt>, to the <tt>filters</tt> package. This function applies both the
<tt>echo</tt> and <tt>noise</tt> filters in sequence in the given <tt>sound</tt> object. We
create a file named <tt>sounds/filters/echo_noise.py</tt> and code our function:</p>
<code><pre>
<span class=identifier>import </span><span class=identifier>_filters
</span><span class=identifier>def </span><span class=identifier>echo_noise</span><span class=special>(</span><span class=identifier>sound</span><span class=special>):
</span><span class=identifier>s </span><span class=special>= </span><span class=identifier>_filters</span><span class=special>.</span><span class=identifier>echo</span><span class=special>(</span><span class=identifier>sound</span><span class=special>)
</span><span class=identifier>s </span><span class=special>= </span><span class=identifier>_filters</span><span class=special>.</span><span class=identifier>noise</span><span class=special>(</span><span class=identifier>sound</span><span class=special>)
</span><span class=keyword>return </span><span class=identifier>s
</span></pre></code>
<p>
Next, we add this line to <tt>sounds/filters/__init__.py</tt>:</p>
<code><pre>
<span class=identifier>from </span><span class=identifier>echo_noise </span><span class=identifier>import </span><span class=identifier>echo_noise
</span></pre></code>
<p>
And that's it. The user now accesses this function like any other function
from the <tt>filters</tt> package:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>sounds</span><span class=special>.</span><span class=identifier>filters</span><span class=special>.</span><span class=identifier>echo_noise</span><span class=special>(...)
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Default Arguments</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Default Arguments</b></font>
</td>
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</table>
<br>
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<p>
Boost.Python wraps (member) function pointers. Unfortunately, C++ function
pointers carry no default argument info. Take a function <tt>f</tt> with default
arguments:</p>
<code><pre>
<span class=keyword>int </span><span class=identifier>f</span><span class=special>(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>double </span><span class=special>= </span><span class=number>3.14</span><span class=special>, </span><span class=keyword>char </span><span class=keyword>const</span><span class=special>* = </span><span class=string>&quot;hello&quot;</span><span class=special>);
</span></pre></code>
<p>
But the type of a pointer to the function <tt>f</tt> has no information
about its default arguments:</p>
<code><pre>
<span class=keyword>int</span><span class=special>(*</span><span class=identifier>g</span><span class=special>)(</span><span class=keyword>int</span><span class=special>,</span><span class=keyword>double</span><span class=special>,</span><span class=keyword>char </span><span class=keyword>const</span><span class=special>*) = </span><span class=identifier>f</span><span class=special>; // </span><span class=identifier>defaults </span><span class=identifier>lost</span><span class=special>!
</span></pre></code>
<p>
When we pass this function pointer to the <tt>def</tt> function, there is no way
to retrieve the default arguments:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f</span><span class=special>); // </span><span class=identifier>defaults </span><span class=identifier>lost</span><span class=special>!
</span></pre></code>
<p>
Because of this, when wrapping C++ code, we had to resort to manual
wrapping as outlined in the <a href="overloading.html">
previous section</a>, or
writing thin wrappers:</p>
<code><pre>
<span class=comment>// write &quot;thin wrappers&quot;
</span><span class=keyword>int </span><span class=identifier>f1</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>x</span><span class=special>) { </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>x</span><span class=special>); }
</span><span class=keyword>int </span><span class=identifier>f2</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>x</span><span class=special>, </span><span class=keyword>double </span><span class=identifier>y</span><span class=special>) { </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>x</span><span class=special>,</span><span class=identifier>y</span><span class=special>); }
/*...*/
// </span><span class=identifier>in </span><span class=identifier>module </span><span class=identifier>init
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f</span><span class=special>); // </span><span class=identifier>all </span><span class=identifier>arguments
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f2</span><span class=special>); // </span><span class=identifier>two </span><span class=identifier>arguments
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f1</span><span class=special>); // </span><span class=identifier>one </span><span class=identifier>argument
</span></pre></code>
<p>
When you want to wrap functions (or member functions) that either:</p>
<ul><li>have default arguments, or</li><li>are overloaded with a common sequence of initial arguments</li></ul><a name="boost_python_function_overloads"></a><h2>BOOST_PYTHON_FUNCTION_OVERLOADS</h2><p>
Boost.Python now has a way to make it easier. For instance, given a function:</p>
<code><pre>
<span class=keyword>int </span><span class=identifier>foo</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>char </span><span class=identifier>b </span><span class=special>= </span><span class=number>1</span><span class=special>, </span><span class=keyword>unsigned </span><span class=identifier>c </span><span class=special>= </span><span class=number>2</span><span class=special>, </span><span class=keyword>double </span><span class=identifier>d </span><span class=special>= </span><span class=number>3</span><span class=special>)
{
/*...*/
}
</span></pre></code>
<p>
The macro invocation:</p>
<code><pre>
<span class=identifier>BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class=special>(</span><span class=identifier>foo_overloads</span><span class=special>, </span><span class=identifier>foo</span><span class=special>, </span><span class=number>1</span><span class=special>, </span><span class=number>4</span><span class=special>)
</span></pre></code>
<p>
will automatically create the thin wrappers for us. This macro will create
a class <tt>foo_overloads</tt> that can be passed on to <tt>def(...)</tt>. The third
and fourth macro argument are the minimum arguments and maximum arguments,
respectively. In our <tt>foo</tt> function the minimum number of arguments is 1
and the maximum number of arguments is 4. The <tt>def(...)</tt> function will
automatically add all the foo variants for us:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;foo&quot;</span><span class=special>, </span><span class=identifier>foo</span><span class=special>, </span><span class=identifier>foo_overloads</span><span class=special>());
</span></pre></code>
<a name="boost_python_member_function_overloads"></a><h2>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</h2><p>
Objects here, objects there, objects here there everywhere. More frequently
than anything else, we need to expose member functions of our classes to
Python. Then again, we have the same inconveniences as before when default
arguments or overloads with a common sequence of initial arguments come
into play. Another macro is provided to make this a breeze.</p>
<p>
Like <tt>BOOST_PYTHON_FUNCTION_OVERLOADS</tt>,
<tt>BOOST_PYTHON_FUNCTION_OVERLOADS</tt> may be used to automatically create
the thin wrappers for wrapping member functions. Let's have an example:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>george
</span><span class=special>{
</span><span class=keyword>void
</span><span class=identifier>wack_em</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>b </span><span class=special>= </span><span class=number>0</span><span class=special>, </span><span class=keyword>char </span><span class=identifier>c </span><span class=special>= </span><span class=literal>'x'</span><span class=special>)
{
/*...*/
}
};
</span></pre></code>
<p>
The macro invocation:</p>
<code><pre>
<span class=identifier>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class=special>(</span><span class=identifier>george_overloads</span><span class=special>, </span><span class=identifier>wack_em</span><span class=special>, </span><span class=number>1</span><span class=special>, </span><span class=number>3</span><span class=special>)
</span></pre></code>
<p>
will generate a set of thin wrappers for george's <tt>wack_em</tt> member function
accepting a minimum of 1 and a maximum of 3 arguments (i.e. the third and
fourth macro argument). The thin wrappers are all enclosed in a class named
<tt>george_overloads</tt> that can then be used as an argument to <tt>def(...)</tt>:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;wack_em&quot;</span><span class=special>, &amp;</span><span class=identifier>george</span><span class=special>::</span><span class=identifier>wack_em</span><span class=special>, </span><span class=identifier>george_overloads</span><span class=special>());
</span></pre></code>
<p>
See the <a href="../../v2/overloads.html#BOOST_PYTHON_FUNCTION_OVERLOADS-spec">
overloads reference</a>
for details.</p>
<a name="init_and_optional"></a><h2>init and optional</h2><p>
A similar facility is provided for class constructors, again, with
default arguments or a sequence of overloads. Remember <tt>init&lt;...&gt;</tt>? For example,
given a class X with a constructor:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>X
</span><span class=special>{
</span><span class=identifier>X</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>char </span><span class=identifier>b </span><span class=special>= </span><span class=literal>'D'</span><span class=special>, </span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>c </span><span class=special>= </span><span class=string>&quot;constructor&quot;</span><span class=special>, </span><span class=keyword>double </span><span class=identifier>d </span><span class=special>= </span><span class=number>0.0</span><span class=special>);
/*...*/
}
</span></pre></code>
<p>
You can easily add this constructor to Boost.Python in one shot:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=identifier>init</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>, </span><span class=identifier>optional</span><span class=special>&lt;</span><span class=keyword>char</span><span class=special>, </span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string</span><span class=special>, </span><span class=keyword>double</span><span class=special>&gt; &gt;())
</span></pre></code>
<p>
Notice the use of <tt>init&lt;...&gt;</tt> and <tt>optional&lt;...&gt;</tt> to signify the default
(optional arguments).</p>
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<font size="2">Permission to copy, use, modify, sell and distribute this document
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<p>
Boost.Python comes with a set of derived <tt>object</tt> types corresponding to
that of Python's:</p>
<ul><li>list</li><li>dict</li><li>tuple</li><li>str</li><li>long_</li><li>enum</li></ul><p>
These derived <tt>object</tt> types act like real Python types. For instance:</p>
<code><pre>
<span class=identifier>str</span><span class=special>(</span><span class=number>1</span><span class=special>) ==&gt; </span><span class=string>&quot;1&quot;
</span></pre></code>
<p>
Wherever appropriate, a particular derived <tt>object</tt> has corresponding
Python type's methods. For instance, <tt>dict</tt> has a <tt>keys()</tt> method:</p>
<code><pre>
<span class=identifier>d</span><span class=special>.</span><span class=identifier>keys</span><span class=special>()
</span></pre></code>
<p>
<tt>make_tuple</tt> is provided for declaring <i>tuple literals</i>. Example:</p>
<code><pre>
<span class=identifier>make_tuple</span><span class=special>(</span><span class=number>123</span><span class=special>, </span><span class=literal>'D'</span><span class=special>, </span><span class=string>&quot;Hello, World&quot;</span><span class=special>, </span><span class=number>0.0</span><span class=special>);
</span></pre></code>
<p>
In C++, when Boost.Python <tt>object</tt>s are used as arguments to functions,
subtype matching is required. For example, when a function <tt>f</tt>, as
declared below, is wrapped, it will only accept instances of Python's
<tt>str</tt> type and subtypes.</p>
<code><pre>
<span class=keyword>void </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>str </span><span class=identifier>name</span><span class=special>)
{
</span><span class=identifier>object </span><span class=identifier>n2 </span><span class=special>= </span><span class=identifier>name</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;upper&quot;</span><span class=special>)(); // </span><span class=identifier>NAME </span><span class=special>= </span><span class=identifier>name</span><span class=special>.</span><span class=identifier>upper</span><span class=special>()
</span><span class=identifier>str </span><span class=identifier>NAME </span><span class=special>= </span><span class=identifier>name</span><span class=special>.</span><span class=identifier>upper</span><span class=special>(); // </span><span class=identifier>better
</span><span class=identifier>object </span><span class=identifier>msg </span><span class=special>= </span><span class=string>&quot;%s is bigger than %s&quot; </span><span class=special>% </span><span class=identifier>make_tuple</span><span class=special>(</span><span class=identifier>NAME</span><span class=special>,</span><span class=identifier>name</span><span class=special>);
}
</span></pre></code>
<p>
In finer detail:</p>
<code><pre>
<span class=identifier>str </span><span class=identifier>NAME </span><span class=special>= </span><span class=identifier>name</span><span class=special>.</span><span class=identifier>upper</span><span class=special>();
</span></pre></code>
<p>
Illustrates that we provide versions of the str type's methods as C++
member functions.</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>msg </span><span class=special>= </span><span class=string>&quot;%s is bigger than %s&quot; </span><span class=special>% </span><span class=identifier>make_tuple</span><span class=special>(</span><span class=identifier>NAME</span><span class=special>,</span><span class=identifier>name</span><span class=special>);
</span></pre></code>
<p>
Demonstrates that you can write the C++ equivalent of <tt>&quot;format&quot; % x,y,z</tt>
in Python, which is useful since there's no easy way to do that in std C++.</p>
<p>
<img src="theme/alert.gif"></img> <b>Beware</b> the common pitfall of forgetting that the constructors
of most of Python's mutable types make copies, just as in Python.</p>
<p>
Python:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>d </span><span class=special>= </span><span class=identifier>dict</span><span class=special>(</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__</span><span class=special>) </span>##<span class=identifier>copies </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>d</span><span class=special>[</span><span class=literal>'whatever'</span><span class=special>] </span>##<span class=identifier>modifies </span><span class=identifier>the </span><span class=identifier>copy
</span></pre></code>
<p>
C++:</p>
<code><pre>
<span class=identifier>dict </span><span class=identifier>d</span><span class=special>(</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;__dict__&quot;</span><span class=special>)); </span>##<span class=identifier>copies </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__
</span><span class=identifier>d</span><span class=special>[</span><span class=literal>'whatever'</span><span class=special>] = </span><span class=number>3</span><span class=special>; </span>##<span class=identifier>modifies </span><span class=identifier>the </span><span class=identifier>copy
</span></pre></code>
<a name="class__lt_t_gt__as_objects"></a><h2>class_&lt;T&gt; as objects</h2><p>
Due to the dynamic nature of Boost.Python objects, any <tt>class_&lt;T&gt;</tt> may
also be one of these types! The following code snippet wraps the class
(type) object.</p>
<p>
We can use this to create wrapped instances. Example:</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>vec345 </span><span class=special>= (
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Vec2</span><span class=special>&gt;(</span><span class=string>&quot;Vec2&quot;</span><span class=special>, </span><span class=identifier>init</span><span class=special>&lt;</span><span class=keyword>double</span><span class=special>, </span><span class=keyword>double</span><span class=special>&gt;())
.</span><span class=identifier>def_readonly</span><span class=special>(</span><span class=string>&quot;length&quot;</span><span class=special>, &amp;</span><span class=identifier>Point</span><span class=special>::</span><span class=identifier>length</span><span class=special>)
.</span><span class=identifier>def_readonly</span><span class=special>(</span><span class=string>&quot;angle&quot;</span><span class=special>, &amp;</span><span class=identifier>Point</span><span class=special>::</span><span class=identifier>angle</span><span class=special>)
)(</span><span class=number>3.0</span><span class=special>, </span><span class=number>4.0</span><span class=special>);
</span><span class=identifier>assert</span><span class=special>(</span><span class=identifier>vec345</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;length&quot;</span><span class=special>) == </span><span class=number>5.0</span><span class=special>);
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<p>
Continuing, we can derive from our base class Base in Python and override
the virtual function in Python. Before we can do that, we have to set up
our <tt>class_</tt> wrapper as:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>, </span><span class=identifier>BaseWrap</span><span class=special>, </span><span class=identifier>boost</span><span class=special>::</span><span class=identifier>noncopyable</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>)
;
</span></pre></code>
<p>
Otherwise, we have to suppress the Base class' <tt>no_init</tt> by adding an
<tt>__init__()</tt> method to all our derived classes. <tt>no_init</tt> actually adds
an <tt>__init__</tt> method that raises a Python RuntimeError exception.</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=keyword>class </span><span class=identifier>Derived</span><span class=special>(</span><span class=identifier>Base</span><span class=special>):
... </span><span class=identifier>def </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>self</span><span class=special>):
... </span><span class=keyword>return </span><span class=number>42
</span><span class=special>...
</span></pre></code>
<p>
Cool eh? A Python class deriving from a C++ class!</p>
<p>
Let's now make an instance of our Python class <tt>Derived</tt>:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>derived </span><span class=special>= </span><span class=identifier>Derived</span><span class=special>()
</span></pre></code>
<p>
Calling <tt>derived.f()</tt>:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>derived</span><span class=special>.</span><span class=identifier>f</span><span class=special>()
</span><span class=number>42
</span></pre></code>
<p>
Will yield the expected result. Finally, calling calling the free function
<tt>call_f</tt> with <tt>derived</tt> as argument:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>derived</span><span class=special>)
</span><span class=number>42
</span></pre></code>
<p>
Will also yield the expected result.</p>
<p>
Here's what's happening:</p>
<ol><li><tt>call_f(derived)</tt> is called in Python</li><li>This corresponds to <tt>def(&quot;call_f&quot;, call_f);</tt>. Boost.Python dispatches this call.</li><li><tt>int call_f(Base&amp; b) { return b.f(); }</tt> accepts the call.</li><li>The overridden virtual function <tt>f</tt> of <tt>BaseWrap</tt> is called.</li><li><tt>call_method&lt;int&gt;(self, &quot;f&quot;);</tt> dispatches the call back to Python.</li><li><tt>def f(self): return 42</tt> is finally called.</li></ol><table border="0">
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<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Embedding</b></font>
</td>
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</table>
<br>
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<p>
By now you should know how to use Boost.Python to call your C++ code from
Python. However, sometimes you may need to do the reverse: call Python code
from the C++-side. This requires you to <i>embed</i> the Python interpreter
into your C++ program.</p>
<p>
Currently, Boost.Python does not directly support everything you'll need
when embedding. Therefore you'll need to use the
<a href="http://www.python.org/doc/current/api/api.html">
Python/C API</a> to fill in
the gaps. However, Boost.Python already makes embedding a lot easier and,
in a future version, it may become unnecessary to touch the Python/C API at
all. So stay tuned... <img src="theme/smiley.gif"></img></p>
<a name="building_embedded_programs"></a><h2>Building embedded programs</h2><p>
To be able to use embedding in your programs, they have to be linked to
both Boost.Python's and Python's static link library.</p>
<p>
Boost.Python's static link library comes in two variants. Both are located
in Boost's <tt>/libs/python/build/bin-stage</tt> subdirectory. On Windows, the
variants are called <tt>boost_python.lib</tt> (for release builds) and
<tt>boost_python_debug.lib</tt> (for debugging). If you can't find the libraries,
you probably haven't built Boost.Python yet. See <a href="../../building.html">
Building and Testing</a> on how to do this.</p>
<p>
Python's static link library can be found in the <tt>/libs</tt> subdirectory of
your Python directory. On Windows it is called pythonXY.lib where X.Y is
your major Python version number.</p>
<p>
Additionally, Python's <tt>/include</tt> subdirectory has to be added to your
include path.</p>
<p>
In a Jamfile, all the above boils down to:</p>
<code><pre>
projectroot c:\projects\embedded_program ; # location of the program
# bring in the rules for python
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
exe embedded_program # name of the executable
: #sources
embedded_program.cpp
: # requirements
&lt;find-library&gt;boost_python &lt;library-path&gt;c:\boost\libs\python
$(PYTHON_PROPERTIES)
&lt;library-path&gt;$(PYTHON_LIB_PATH)
&lt;find-library&gt;$(PYTHON_EMBEDDED_LIBRARY) ;
</pre></code><a name="getting_started"></a><h2>Getting started</h2><p>
Being able to build is nice, but there is nothing to build yet. Embedding
the Python interpreter into one of your C++ programs requires these 4
steps:</p>
<ol><li>#include <tt>&lt;boost/python.hpp&gt;</tt><br><br></li><li>Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-652">
Py_Initialize</a>() to start the interpreter and create the <tt>__main__</tt> module.<br><br></li><li>Call other Python C API routines to use the interpreter.<br><br></li><li>Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-656">
Py_Finalize</a>() to stop the interpreter and release its resources.</li></ol><p>
(Of course, there can be other C++ code between all of these steps.)</p>
<blockquote><p><i><b>Now that we can embed the interpreter in our programs, lets see how to put it to use...</b></i></p></blockquote><table border="0">
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<font size="2">Permission to copy, use, modify, sell and distribute this document
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<td width="30"><a href="extracting_c___objects.html"><img src="theme/l_arr.gif" border="0"></a></td>
<td width="20"><a href="embedding.html"><img src="theme/r_arr.gif" border="0"></a></td>
</tr>
</table>
<p>
Boost.Python has a nifty facility to capture and wrap C++ enums. While
Python has no <tt>enum</tt> type, we'll often want to expose our C++ enums to
Python as an <tt>int</tt>. Boost.Python's enum facility makes this easy while
taking care of the proper conversions from Python's dynamic typing to C++'s
strong static typing (in C++, ints cannot be implicitly converted to
enums). To illustrate, given a C++ enum:</p>
<code><pre>
<span class=keyword>enum </span><span class=identifier>choice </span><span class=special>{ </span><span class=identifier>red</span><span class=special>, </span><span class=identifier>blue </span><span class=special>};
</span></pre></code>
<p>
the construct:</p>
<code><pre>
<span class=identifier>enum_</span><span class=special>&lt;</span><span class=identifier>choice</span><span class=special>&gt;(</span><span class=string>&quot;choice&quot;</span><span class=special>)
.</span><span class=identifier>value</span><span class=special>(</span><span class=string>&quot;red&quot;</span><span class=special>, </span><span class=identifier>red</span><span class=special>)
.</span><span class=identifier>value</span><span class=special>(</span><span class=string>&quot;blue&quot;</span><span class=special>, </span><span class=identifier>blue</span><span class=special>)
;
</span></pre></code>
<p>
can be used to expose to Python. The new enum type is created in the
current <tt>scope()</tt>, which is usually the current module. The snippet above
creates a Python class derived from Python's <tt>int</tt> type which is
associated with the C++ type passed as its first parameter.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/lens.gif"></img> <b>what is a scope?</b><br><br> The scope is a class that has an
associated global Python object which controls the Python namespace in
which new extension classes and wrapped functions will be defined as
attributes. Details can be found <a href="../../v2/scope.html">
here</a>. </td>
</tr>
</table>
<p>
You can access those values in Python as</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>my_module</span><span class=special>.</span><span class=identifier>choice</span><span class=special>.</span><span class=identifier>red
</span><span class=identifier>my_module</span><span class=special>.</span><span class=identifier>choice</span><span class=special>.</span><span class=identifier>red
</span></pre></code>
<p>
where my_module is the module where the enum is declared. You can also
create a new scope around a class:</p>
<code><pre>
<span class=identifier>scope </span><span class=identifier>in_X </span><span class=special>= </span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>X</span><span class=special>&gt;(</span><span class=string>&quot;X&quot;</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>( ... )
.</span><span class=identifier>def</span><span class=special>( ... )
;
// </span><span class=identifier>Expose </span><span class=identifier>X</span><span class=special>::</span><span class=identifier>nested </span><span class=identifier>as </span><span class=identifier>X</span><span class=special>.</span><span class=identifier>nested
</span><span class=identifier>enum_</span><span class=special>&lt;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>nested</span><span class=special>&gt;(</span><span class=string>&quot;nested&quot;</span><span class=special>)
.</span><span class=identifier>value</span><span class=special>(</span><span class=string>&quot;red&quot;</span><span class=special>, </span><span class=identifier>red</span><span class=special>)
.</span><span class=identifier>value</span><span class=special>(</span><span class=string>&quot;blue&quot;</span><span class=special>, </span><span class=identifier>blue</span><span class=special>)
;
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Exception Translation</title>
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<td width="85%">
<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Exception Translation</b></font>
</td>
</tr>
</table>
<br>
<table border="0">
<tr>
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<p>
All C++ exceptions must be caught at the boundary with Python code. This
boundary is the point where C++ meets Python. Boost.Python provides a
default exception handler that translates selected standard exceptions,
then gives up:</p>
<code><pre>
<span class=identifier>raise </span><span class=identifier>RuntimeError</span><span class=special>, </span><span class=literal>'unidentifiable C++ Exception'
</span></pre></code>
<p>
Users may provide custom translation. Here's an example:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>PodBayDoorException</span><span class=special>;
</span><span class=keyword>void </span><span class=identifier>translator</span><span class=special>(</span><span class=identifier>PodBayDoorException </span><span class=keyword>const</span><span class=special>&amp; </span><span class=identifier>x</span><span class=special>) {
</span><span class=identifier>PyErr_SetString</span><span class=special>(</span><span class=identifier>PyExc_UserWarning</span><span class=special>, </span><span class=string>&quot;I'm sorry Dave...&quot;</span><span class=special>);
}
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>kubrick</span><span class=special>) {
</span><span class=identifier>register_exception_translator</span><span class=special>&lt;
</span><span class=identifier>PodBayDoorException</span><span class=special>&gt;(</span><span class=identifier>translator</span><span class=special>);
...
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<html>
<head>
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<title>Exposing Classes</title>
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<td><img src="theme/c%2B%2Bboost.gif">
</td>
<td width="85%">
<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Exposing Classes</b></font>
</td>
</tr>
</table>
<br>
<table border="0">
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<p>
Now let's expose a C++ class to Python.</p>
<p>
Consider a C++ class/struct that we want to expose to Python:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>World
</span><span class=special>{
</span><span class=keyword>void </span><span class=identifier>set</span><span class=special>(</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>msg</span><span class=special>) { </span><span class=keyword>this</span><span class=special>-&gt;</span><span class=identifier>msg </span><span class=special>= </span><span class=identifier>msg</span><span class=special>; }
</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>greet</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>msg</span><span class=special>; }
</span><span class=identifier>std</span><span class=special>::</span><span class=identifier>string </span><span class=identifier>msg</span><span class=special>;
};
</span></pre></code>
<p>
We can expose this to Python by writing a corresponding Boost.Python
C++ Wrapper:</p>
<code><pre>
<span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=keyword>using </span><span class=keyword>namespace </span><span class=identifier>boost</span><span class=special>::</span><span class=identifier>python</span><span class=special>;
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>hello</span><span class=special>)
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>World</span><span class=special>&gt;(</span><span class=string>&quot;World&quot;</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>greet</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;set&quot;</span><span class=special>, &amp;</span><span class=identifier>World</span><span class=special>::</span><span class=identifier>set</span><span class=special>)
;
}
</span></pre></code>
<p>
Here, we wrote a C++ class wrapper that exposes the member functions
<tt>greet</tt> and <tt>set</tt>. Now, after building our module as a shared library, we
may use our class <tt>World</tt> in Python. Here's a sample Python session:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>hello
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>planet </span><span class=special>= </span><span class=identifier>hello</span><span class=special>.</span><span class=identifier>World</span><span class=special>()
&gt;&gt;&gt; </span><span class=identifier>planet</span><span class=special>.</span><span class=identifier>set</span><span class=special>(</span><span class=literal>'howdy'</span><span class=special>)
&gt;&gt;&gt; </span><span class=identifier>planet</span><span class=special>.</span><span class=identifier>greet</span><span class=special>()
</span><span class=literal>'howdy'
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Extending Wrapped Objects in Python</b></font>
</td>
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<br>
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<p>
Thanks to Python's flexibility, you can easily add new methods to a class,
even after it was already created:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=keyword>class </span><span class=identifier>C</span><span class=special>(</span><span class=identifier>object</span><span class=special>): </span><span class=identifier>pass
</span><span class=special>&gt;&gt;&gt;
&gt;&gt;&gt; </span>##<span class=identifier>a </span><span class=identifier>regular </span><span class=identifier>function
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>def </span><span class=identifier>C_str</span><span class=special>(</span><span class=identifier>self</span><span class=special>): </span><span class=keyword>return </span><span class=literal>'A C instance!'
</span><span class=special>&gt;&gt;&gt;
&gt;&gt;&gt; </span>##<span class=identifier>now </span><span class=identifier>we </span><span class=identifier>turn </span><span class=identifier>it </span><span class=identifier>in </span><span class=identifier>a </span><span class=identifier>member </span><span class=identifier>function
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>C</span><span class=special>.</span><span class=identifier>__str__ </span><span class=special>= </span><span class=identifier>C_str
</span><span class=special>&gt;&gt;&gt;
&gt;&gt;&gt; </span><span class=identifier>c </span><span class=special>= </span><span class=identifier>C</span><span class=special>()
&gt;&gt;&gt; </span><span class=identifier>print </span><span class=identifier>c
</span><span class=identifier>A </span><span class=identifier>C </span><span class=identifier>instance</span><span class=special>!
&gt;&gt;&gt; </span><span class=identifier>C_str</span><span class=special>(</span><span class=identifier>c</span><span class=special>)
</span><span class=identifier>A </span><span class=identifier>C </span><span class=identifier>instance</span><span class=special>!
</span></pre></code>
<p>
Yes, Python rox. <img src="theme/smiley.gif"></img></p>
<p>
We can do the same with classes that were wrapped with Boost.Python. Suppose
we have a class <tt>point</tt> in C++:</p>
<code><pre>
<span class=keyword>class </span><span class=identifier>point </span><span class=special>{...};
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>_geom</span><span class=special>)
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>point</span><span class=special>&gt;(</span><span class=string>&quot;point&quot;</span><span class=special>)...;
}
</span></pre></code>
<p>
If we are using the technique from the previous session, <a href="creating_packages.html">
Creating Packages</a>, we can code directly into <tt>geom/__init__.py</tt>:</p>
<code><pre>
<span class=identifier>from </span><span class=identifier>_geom </span><span class=identifier>import </span><span class=special>*
</span>##<span class=identifier>a </span><span class=identifier>regular </span><span class=identifier>function
</span><span class=identifier>def </span><span class=identifier>point_str</span><span class=special>(</span><span class=identifier>self</span><span class=special>):
</span><span class=keyword>return </span><span class=identifier>str</span><span class=special>((</span><span class=identifier>self</span><span class=special>.</span><span class=identifier>x</span><span class=special>, </span><span class=identifier>self</span><span class=special>.</span><span class=identifier>y</span><span class=special>))
</span>##<span class=identifier>now </span><span class=identifier>we </span><span class=identifier>turn </span><span class=identifier>it </span><span class=identifier>into </span><span class=identifier>a </span><span class=identifier>member </span><span class=identifier>function
</span><span class=identifier>point</span><span class=special>.</span><span class=identifier>__str__ </span><span class=special>= </span><span class=identifier>point_str
</span></pre></code>
<p>
<b>All</b> point instances created from C++ will also have this member function!
This technique has several advantages:</p>
<ul><li>Cut down compile times to zero for these additional functions</li><li>Reduce the memory footprint to virtually zero</li><li>Minimize the need to recompile</li><li>Rapid prototyping (you can move the code to C++ if required without changing the interface)</li></ul><p>
You can even add a little syntactic sugar with the use of metaclasses. Let's
create a special metaclass that &quot;injects&quot; methods in other classes.</p>
<code><pre>
##<span class=identifier>The </span><span class=identifier>one </span><span class=identifier>Boost</span><span class=special>.</span><span class=identifier>Python </span><span class=identifier>uses </span><span class=keyword>for </span><span class=identifier>all </span><span class=identifier>wrapped </span><span class=identifier>classes</span><span class=special>.
</span>##<span class=identifier>You </span><span class=identifier>can </span><span class=identifier>use </span><span class=identifier>here </span><span class=identifier>any </span><span class=keyword>class </span><span class=identifier>exported </span><span class=identifier>by </span><span class=identifier>Boost </span><span class=identifier>instead </span><span class=identifier>of </span><span class=string>&quot;point&quot;
</span><span class=identifier>BoostPythonMetaclass </span><span class=special>= </span><span class=identifier>point</span><span class=special>.</span><span class=identifier>__class__
</span><span class=keyword>class </span><span class=identifier>injector</span><span class=special>(</span><span class=identifier>object</span><span class=special>):
</span><span class=keyword>class </span><span class=identifier>__metaclass__</span><span class=special>(</span><span class=identifier>BoostPythonMetaclass</span><span class=special>):
</span><span class=identifier>def </span><span class=identifier>__init__</span><span class=special>(</span><span class=identifier>self</span><span class=special>, </span><span class=identifier>name</span><span class=special>, </span><span class=identifier>bases</span><span class=special>, </span><span class=identifier>dict</span><span class=special>):
</span><span class=keyword>for </span><span class=identifier>b </span><span class=identifier>in </span><span class=identifier>bases</span><span class=special>:
</span><span class=keyword>if </span><span class=identifier>type</span><span class=special>(</span><span class=identifier>b</span><span class=special>) </span><span class=keyword>not </span><span class=identifier>in </span><span class=special>(</span><span class=identifier>self</span><span class=special>, </span><span class=identifier>type</span><span class=special>):
</span><span class=keyword>for </span><span class=identifier>k</span><span class=special>,</span><span class=identifier>v </span><span class=identifier>in </span><span class=identifier>dict</span><span class=special>.</span><span class=identifier>items</span><span class=special>():
</span><span class=identifier>setattr</span><span class=special>(</span><span class=identifier>b</span><span class=special>,</span><span class=identifier>k</span><span class=special>,</span><span class=identifier>v</span><span class=special>)
</span><span class=keyword>return </span><span class=identifier>type</span><span class=special>.</span><span class=identifier>__init__</span><span class=special>(</span><span class=identifier>self</span><span class=special>, </span><span class=identifier>name</span><span class=special>, </span><span class=identifier>bases</span><span class=special>, </span><span class=identifier>dict</span><span class=special>)
</span>##<span class=identifier>inject </span><span class=identifier>some </span><span class=identifier>methods </span><span class=identifier>in </span><span class=identifier>the </span><span class=identifier>point </span><span class=identifier>foo
</span><span class=keyword>class </span><span class=identifier>more_point</span><span class=special>(</span><span class=identifier>injector</span><span class=special>, </span><span class=identifier>point</span><span class=special>):
</span><span class=identifier>def </span><span class=identifier>__repr__</span><span class=special>(</span><span class=identifier>self</span><span class=special>):
</span><span class=keyword>return </span><span class=literal>'Point(x=%s, y=%s)' </span><span class=special>% (</span><span class=identifier>self</span><span class=special>.</span><span class=identifier>x</span><span class=special>, </span><span class=identifier>self</span><span class=special>.</span><span class=identifier>y</span><span class=special>)
</span><span class=identifier>def </span><span class=identifier>foo</span><span class=special>(</span><span class=identifier>self</span><span class=special>):
</span><span class=identifier>print </span><span class=literal>'foo!'
</span></pre></code>
<p>
Now let's see how it got:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>print </span><span class=identifier>point</span><span class=special>()
</span><span class=identifier>Point</span><span class=special>(</span><span class=identifier>x</span><span class=special>=</span><span class=number>10</span><span class=special>, </span><span class=identifier>y</span><span class=special>=</span><span class=number>10</span><span class=special>)
&gt;&gt;&gt; </span><span class=identifier>point</span><span class=special>().</span><span class=identifier>foo</span><span class=special>()
</span><span class=identifier>foo</span><span class=special>!
</span></pre></code>
<p>
Another useful idea is to replace constructors with factory functions:</p>
<code><pre>
<span class=identifier>_point </span><span class=special>= </span><span class=identifier>point
</span><span class=identifier>def </span><span class=identifier>point</span><span class=special>(</span><span class=identifier>x</span><span class=special>=</span><span class=number>0</span><span class=special>, </span><span class=identifier>y</span><span class=special>=</span><span class=number>0</span><span class=special>):
</span><span class=keyword>return </span><span class=identifier>_point</span><span class=special>(</span><span class=identifier>x</span><span class=special>, </span><span class=identifier>y</span><span class=special>)
</span></pre></code>
<p>
In this simple case there is not much gained, but for constructurs with
many overloads and/or arguments this is often a great simplification, again
with virtually zero memory footprint and zero compile-time overhead for
the keyword support.</p>
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<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<title>Extracting C++ objects</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Extracting C++ objects</b></font>
</td>
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<p>
At some point, we will need to get C++ values out of object instances. This
can be achieved with the <tt>extract&lt;T&gt;</tt> function. Consider the following:</p>
<code><pre>
<span class=keyword>double </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>o</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;length&quot;</span><span class=special>); // </span><span class=identifier>compile </span><span class=identifier>error
</span></pre></code>
<p>
In the code above, we got a compiler error because Boost.Python
<tt>object</tt> can't be implicitly converted to <tt>double</tt>s. Instead, what
we wanted to do above can be achieved by writing:</p>
<code><pre>
<span class=keyword>double </span><span class=identifier>l </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=keyword>double</span><span class=special>&gt;(</span><span class=identifier>o</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;length&quot;</span><span class=special>));
</span><span class=identifier>Vec2</span><span class=special>&amp; </span><span class=identifier>v </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=identifier>Vec2</span><span class=special>&amp;&gt;(</span><span class=identifier>o</span><span class=special>);
</span><span class=identifier>assert</span><span class=special>(</span><span class=identifier>l </span><span class=special>== </span><span class=identifier>v</span><span class=special>.</span><span class=identifier>length</span><span class=special>());
</span></pre></code>
<p>
The first line attempts to extract the &quot;length&quot; attribute of the
Boost.Python <tt>object</tt> <tt>o</tt>. The second line attempts to <i>extract</i> the
<tt>Vec2</tt> object from held by the Boost.Python <tt>object</tt> <tt>o</tt>.</p>
<p>
Take note that we said &quot;attempt to&quot; above. What if the Boost.Python
<tt>object</tt> <tt>o</tt> does not really hold a <tt>Vec2</tt> type? This is certainly
a possibility considering the dynamic nature of Python <tt>object</tt>s. To
be on the safe side, if the C++ type can't be extracted, an
appropriate exception is thrown. To avoid an exception, we need to
test for extractibility:</p>
<code><pre>
<span class=identifier>extract</span><span class=special>&lt;</span><span class=identifier>Vec2</span><span class=special>&amp;&gt; </span><span class=identifier>x</span><span class=special>(</span><span class=identifier>o</span><span class=special>);
</span><span class=keyword>if </span><span class=special>(</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>check</span><span class=special>()) {
</span><span class=identifier>Vec2</span><span class=special>&amp; </span><span class=identifier>v </span><span class=special>= </span><span class=identifier>x</span><span class=special>(); ...
</span></pre></code>
<p>
<img src="theme/bulb.gif"></img> The astute reader might have noticed that the <tt>extract&lt;T&gt;</tt>
facility in fact solves the mutable copying problem:</p>
<code><pre>
<span class=identifier>dict </span><span class=identifier>d </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=identifier>dict</span><span class=special>&gt;(</span><span class=identifier>x</span><span class=special>.</span><span class=identifier>attr</span><span class=special>(</span><span class=string>&quot;__dict__&quot;</span><span class=special>));
</span><span class=identifier>d</span><span class=special>[</span><span class=literal>'whatever'</span><span class=special>] = </span><span class=number>3</span><span class=special>; </span>##<span class=identifier>modifies </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__dict__ </span><span class=special>!
</span></pre></code>
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Functions</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Functions</b></font>
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<br>
<table border="0">
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<p>
In this chapter, we'll look at Boost.Python powered functions in closer
detail. We shall see some facilities to make exposing C++ functions to
Python safe from potential pifalls such as dangling pointers and
references. We shall also see facilities that will make it even easier for
us to expose C++ functions that take advantage of C++ features such as
overloading and default arguments.</p>
<blockquote><p><i>Read on...</i></p></blockquote><p>
But before you do, you might want to fire up Python 2.2 or later and type
<tt>&gt;&gt;&gt; import this</tt>.</p>
<code><pre>
&gt;&gt;&gt; import this
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
</pre></code><table border="0">
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<title>General Techniques</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>General Techniques</b></font>
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<p>
Here are presented some useful techniques that you can use while wrapping code with Boost.Python.</p>
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<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
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<div><h2 class="title">
<a name="python"></a>Chapter 1. python 1.0</h2></div>
<div><div class="author"><h3 class="author">
<span class="firstname">Joel</span> <span class="surname">de Guzman</span>
</h3></div></div>
<div><div class="author"><h3 class="author">
<span class="firstname">David</span> <span class="surname">Abrahams</span>
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<div><p class="copyright">Copyright © 2002-2005 Joel de Guzman, David Abrahams</p></div>
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Distributed under the Boost Software License, Version 1.0.
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http://www.boost.org/LICENSE_1_0.txt
</a>)
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<p><b>Table of Contents</b></p>
<dl>
<dt><span class="section"><a href="index.html#python.quickstart">QuickStart</a></span></dt>
<dt><span class="section"><a href="python/hello.html"> Building Hello World</a></span></dt>
<dt><span class="section"><a href="python/exposing.html"> Exposing Classes</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/exposing.html#python.constructors">Constructors</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_data_members">Class Data Members</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_properties">Class Properties</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.inheritance">Inheritance</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_virtual_functions">Class Virtual Functions</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.virtual_functions_with_default_implementations">Virtual Functions with Default Implementations</a></span></dt>
<dt><span class="section"><a href="python/exposing.html#python.class_operators_special_functions">Class Operators/Special Functions</a></span></dt>
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<dt><span class="section"><a href="python/functions.html">Functions</a></span></dt>
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<dt><span class="section"><a href="python/functions.html#python.call_policies">Call Policies</a></span></dt>
<dt><span class="section"><a href="python/functions.html#python.overloading">Overloading</a></span></dt>
<dt><span class="section"><a href="python/functions.html#python.default_arguments">Default Arguments</a></span></dt>
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<dt><span class="section"><a href="python/object.html"> Object Interface</a></span></dt>
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<dt><span class="section"><a href="python/object.html#python.basic_interface">Basic Interface</a></span></dt>
<dt><span class="section"><a href="python/object.html#python.derived_object_types">Derived Object types</a></span></dt>
<dt><span class="section"><a href="python/object.html#python.extracting_c___objects">Extracting C++ objects</a></span></dt>
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<dd><dl><dt><span class="section"><a href="python/embedding.html#python.using_the_interpreter">Using the interpreter</a></span></dt></dl></dd>
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<dt><span class="section"><a href="python/exception.html"> Exception Translation</a></span></dt>
<dt><span class="section"><a href="python/techniques.html"> General Techniques</a></span></dt>
<dd><dl>
<dt><span class="section"><a href="python/techniques.html#python.creating_packages">Creating Packages</a></span></dt>
<dt><span class="section"><a href="python/techniques.html#python.extending_wrapped_objects_in_python">Extending Wrapped Objects in Python</a></span></dt>
<dt><span class="section"><a href="python/techniques.html#python.reducing_compiling_time">Reducing Compiling Time</a></span></dt>
</dl></dd>
</dl>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.quickstart"></a>QuickStart</h2></div></div></div>
<p>
The Boost Python Library is a framework for interfacing Python and
C++. It allows you to quickly and seamlessly expose C++ classes
functions and objects to Python, and vice-versa, using no special
tools -- just your C++ compiler. It is designed to wrap C++ interfaces
non-intrusively, so that you should not have to change the C++ code at
all in order to wrap it, making Boost.Python ideal for exposing
3rd-party libraries to Python. The library's use of advanced
metaprogramming techniques simplifies its syntax for users, so that
wrapping code takes on the look of a kind of declarative interface
definition language (IDL).</p>
<a name="quickstart.hello_world"></a><h2>
<a name="id372086"></a>Hello World</h2>
<p>
Following C/C++ tradition, let's start with the "hello, world". A C++
Function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*</span><span class="identifier"> greet</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
return</span><span class="string"> "hello, world"</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
can be exposed to Python by writing a Boost.Python wrapper:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="identifier"> greet</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
That's it. We're done. We can now build this as a shared library. The
resulting DLL is now visible to Python. Here's a sample Python session:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="identifier">
hello</span><span class="special">,</span><span class="identifier"> world</span></tt></pre>
<p></p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em><span class="bold"><b>Next stop... Building your Hello World module from start to finish...</b></span></em></span></p></blockquote></div>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"><small><p>Last revised: July 12, 2005 at 07:50:43 GMT</p></small></td>
<td align="right"><small></small></td>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.embedding"></a>Embedding</h2></div></div></div>
<div class="toc"><dl><dt><span class="section"><a href="embedding.html#python.using_the_interpreter">Using the interpreter</a></span></dt></dl></div>
<p>
By now you should know how to use Boost.Python to call your C++ code from
Python. However, sometimes you may need to do the reverse: call Python code
from the C++-side. This requires you to <span class="emphasis"><em>embed</em></span> the Python interpreter
into your C++ program.</p>
<p>
Currently, Boost.Python does not directly support everything you'll need
when embedding. Therefore you'll need to use the
<a href="http://www.python.org/doc/current/api/api.html" target="_top">Python/C API</a> to fill in
the gaps. However, Boost.Python already makes embedding a lot easier and,
in a future version, it may become unnecessary to touch the Python/C API at
all. So stay tuned... <span class="inlinemediaobject"><img src="../images/smiley.png"></span></p>
<a name="embedding.building_embedded_programs"></a><h2>
<a name="id456196"></a>Building embedded programs</h2>
<p>
To be able to use embedding in your programs, they have to be linked to
both Boost.Python's and Python's static link library.</p>
<p>
Boost.Python's static link library comes in two variants. Both are located
in Boost's <tt class="literal">/libs/python/build/bin-stage</tt> subdirectory. On Windows, the
variants are called <tt class="literal">boost_python.lib</tt> (for release builds) and
<tt class="literal">boost_python_debug.lib</tt> (for debugging). If you can't find the libraries,
you probably haven't built Boost.Python yet. See
<a href="../../../../building.html" target="_top">Building and Testing</a> on how to do this.</p>
<p>
Python's static link library can be found in the <tt class="literal">/libs</tt> subdirectory of
your Python directory. On Windows it is called pythonXY.lib where X.Y is
your major Python version number.</p>
<p>
Additionally, Python's <tt class="literal">/include</tt> subdirectory has to be added to your
include path.</p>
<p>
In a Jamfile, all the above boils down to:</p>
<pre class="programlisting"><tt class="literal">projectroot c:\projects\embedded_program ; # location of the program
# bring in the rules for python
SEARCH on python.jam = $(BOOST_BUILD_PATH) ;
include python.jam ;
exe embedded_program # name of the executable
: #sources
embedded_program.cpp
: # requirements
&lt;find-library&gt;boost_python &lt;library-path&gt;c:\boost\libs\python
$(PYTHON_PROPERTIES)
&lt;library-path&gt;$(PYTHON_LIB_PATH)
&lt;find-library&gt;$(PYTHON_EMBEDDED_LIBRARY) ;
</tt></pre>
<a name="embedding.getting_started"></a><h2>
<a name="id456277"></a>Getting started</h2>
<p>
Being able to build is nice, but there is nothing to build yet. Embedding
the Python interpreter into one of your C++ programs requires these 4
steps:</p>
<div class="orderedlist"><ol type="1">
<li>
#include <tt class="literal">&lt;boost/python.hpp&gt;</tt><br><br>
</li>
<li>
Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-652" target="_top">Py_Initialize</a>() to start the interpreter and create the <tt class="literal"><span class="underline">_main</span>_</tt> module.<br><br>
</li>
<li>
Call other Python C API routines to use the interpreter.<br><br>
</li>
<li>
Call <a href="http://www.python.org/doc/current/api/initialization.html#l2h-656" target="_top">Py_Finalize</a>() to stop the interpreter and release its resources.
</li>
</ol></div>
<p>
(Of course, there can be other C++ code between all of these steps.)</p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em><span class="bold"><b>Now that we can embed the interpreter in our programs, lets see how to put it to use...</b></span></em></span></p></blockquote></div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.using_the_interpreter"></a>Using the interpreter</h3></div></div></div>
<p>
As you probably already know, objects in Python are reference-counted.
Naturally, the <tt class="literal">PyObject</tt>s of the Python/C API are also reference-counted.
There is a difference however. While the reference-counting is fully
automatic in Python, the Python/C API requires you to do it
<a href="http://www.python.org/doc/current/api/refcounts.html" target="_top">by hand</a>. This is
messy and especially hard to get right in the presence of C++ exceptions.
Fortunately Boost.Python provides the <a href="../../../../v2/handle.html" target="_top">handle</a> and
<a href="../../../../v2/object.html" target="_top">object</a> class templates to automate the process.</p>
<a name="using_the_interpreter.reference_counting_handles_and_objects"></a><h2>
<a name="id456409"></a>Reference-counting handles and objects</h2>
<p>
There are two ways in which a function in the Python/C API can return a
<tt class="literal">PyObject*</tt>: as a <span class="emphasis"><em>borrowed reference</em></span> or as a <span class="emphasis"><em>new reference</em></span>. Which of
these a function uses, is listed in that function's documentation. The two
require slightely different approaches to reference-counting but both can
be 'handled' by Boost.Python.</p>
<p>
For a function returning a <span class="emphasis"><em>borrowed reference</em></span> we'll have to tell the
<tt class="literal">handle</tt> that the <tt class="literal">PyObject*</tt> is borrowed with the aptly named
<a href="../../../../v2/handle.html#borrowed-spec" target="_top">borrowed</a> function. Two functions
returning borrowed references are <a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a> and <a href="http://www.python.org/doc/current/api/moduleObjects.html#l2h-594" target="_top">PyModule_GetDict</a>.
The former returns a reference to an already imported module, the latter
retrieves a module's namespace dictionary. Let's use them to retrieve the
namespace of the <tt class="literal"><span class="underline">_main</span>_</tt> module:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span></tt></pre>
<p>
For a function returning a <span class="emphasis"><em>new reference</em></span> we can just create a <tt class="literal">handle</tt>
out of the raw <tt class="literal">PyObject*</tt> without wrapping it in a call to borrowed. One
such function that returns a new reference is <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> which we'll
discuss in the next section.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Handle is a class <span class="emphasis"><em>template</em></span>, so why haven't we been using any template parameters?</b></span><br><br><tt class="literal">handle</tt> has a single template parameter specifying the type of the managed object. This type is <tt class="literal">PyObject</tt> 99% of the time, so the parameter was defaulted to <tt class="literal">PyObject</tt> for convenience. Therefore we can use the shorthand <tt class="literal">handle&lt;&gt;</tt> instead of the longer, but equivalent, <tt class="literal">handle&lt;PyObject&gt;</tt>.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.running_python_code"></a><h2>
<a name="id456714"></a>Running Python code</h2>
<p>
To run Python code from C++ there is a family of functions in the API
starting with the PyRun prefix. You can find the full list of these
functions <a href="http://www.python.org/doc/current/api/veryhigh.html" target="_top">here</a>. They
all work similarly so we will look at only one of them, namely:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">PyObject</span><span class="special">*</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="keyword">char</span><span class="special"> *</span><span class="identifier">str</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> start</span><span class="special">,</span><span class="identifier"> PyObject</span><span class="special"> *</span><span class="identifier">globals</span><span class="special">,</span><span class="identifier"> PyObject</span><span class="special"> *</span><span class="identifier">locals</span><span class="special">)</span></tt></pre>
<p><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> takes the code to execute as a null-terminated (C-style)
string in its <tt class="literal">str</tt> parameter. The function returns a new reference to a
Python object. Which object is returned depends on the <tt class="literal">start</tt> paramater.</p>
<p>
The <tt class="literal">start</tt> parameter is the start symbol from the Python grammar to use
for interpreting the code. The possible values are:</p>
<div class="informaltable">
<h4>
<a name="id456876"></a><span class="table-title">Start symbols</span>
</h4>
<table class="table">
<colgroup>
<col>
<col>
</colgroup>
<thead><tr>
<th><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a></th>
<th>for interpreting isolated expressions</th>
</tr></thead>
<tbody>
<tr>
<td><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a></td>
<td>for interpreting sequences of statements</td>
</tr>
<tr>
<td><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60" target="_top">Py_single_input</a></td>
<td>for interpreting a single statement</td>
</tr>
</tbody>
</table>
</div>
<p>
When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a>, the input string must contain a single expression
and its result is returned. When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a>, the string can
contain an abitrary number of statements and None is returned.
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60" target="_top">Py_single_input</a> works in the same way as <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a> but only accepts a
single statement.</p>
<p>
Lastly, the <tt class="literal">globals</tt> and <tt class="literal">locals</tt> parameters are Python dictionaries
containing the globals and locals of the context in which to run the code.
For most intents and purposes you can use the namespace dictionary of the
<tt class="literal"><span class="underline">_main</span>_</tt> module for both parameters.</p>
<p>
We have already seen how to get the <tt class="literal"><span class="underline">_main</span>_</tt> module's namespace so let's
run some Python code in it:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span><span class="identifier">
handle</span><span class="special">&lt;&gt;</span><span class="identifier"> ignored</span><span class="special">((</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"hello = file('hello.txt', 'w')\n"</span><span class="string">
"hello.write('Hello world!')\n"</span><span class="string">
"hello.close()"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">())</span><span class="special">
));</span></tt></pre>
<p>
Because the Python/C API doesn't know anything about <tt class="literal">object</tt>s, we used
the object's <tt class="literal">ptr</tt> member function to retrieve the <tt class="literal">PyObject*</tt>.</p>
<p>
This should create a file called 'hello.txt' in the current directory
containing a phrase that is well-known in programming circles.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Note</b></span> that we wrap the return value of <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> in a
(nameless) <tt class="literal">handle</tt> even though we are not interested in it. If we didn't
do this, the the returned object would be kept alive unnecessarily. Unless
you want to be a Dr. Frankenstein, always wrap <tt class="literal">PyObject*</tt>s in <tt class="literal">handle</tt>s.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.beyond_handles"></a><h2>
<a name="id457324"></a>Beyond handles</h2>
<p>
It's nice that <tt class="literal">handle</tt> manages the reference counting details for us, but
other than that it doesn't do much. Often we'd like to have a more useful
class to manipulate Python objects. But we have already seen such a class
above, and in the <a href="object.html" target="_top">previous section</a>: the aptly
named <tt class="literal">object</tt> class and it's derivatives. We've already seen that they
can be constructed from a <tt class="literal">handle</tt>. The following examples should further
illustrate this fact:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> main_module</span><span class="special">((</span><span class="identifier">
handle</span><span class="special">&lt;&gt;(</span><span class="identifier">borrowed</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/importing.html#l2h-125" target="_top">PyImport_AddModule</a><span class="special">(</span><span class="string">"__main__"</span><span class="special">)))));</span><span class="identifier">
object</span><span class="identifier"> main_namespace</span><span class="special"> =</span><span class="identifier"> main_module</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">);</span><span class="identifier">
handle</span><span class="special">&lt;&gt;</span><span class="identifier"> ignored</span><span class="special">((</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"result = 5 ** 2"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59" target="_top">Py_file_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">())</span><span class="special">
));</span><span class="keyword">
int</span><span class="identifier"> five_squared</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">main_namespace</span><span class="special">[</span><span class="string">"result"</span><span class="special">]);</span></tt></pre>
<p>
Here we create a dictionary object for the <tt class="literal"><span class="underline">_main</span>_</tt> module's namespace.
Then we assign 5 squared to the result variable and read this variable from
the dictionary. Another way to achieve the same result is to let
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a> return the result directly with <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">handle</span><span class="special">&lt;&gt;(</span>
    <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">"5 ** 2"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))</span><span class="special">
));</span><span class="keyword">
int</span><span class="identifier"> five_squared</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">result</span><span class="special">);</span></tt></pre>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Note</b></span> that <tt class="literal">object</tt>'s member function to return the wrapped
<tt class="literal">PyObject*</tt> is called <tt class="literal">ptr</tt> instead of <tt class="literal">get</tt>. This makes sense if you
take into account the different functions that <tt class="literal">object</tt> and <tt class="literal">handle</tt>
perform.
</td></tr></tbody>
</table></div>
<a name="using_the_interpreter.exception_handling"></a><h2>
<a name="id457906"></a>Exception handling</h2>
<p>
If an exception occurs in the execution of some Python code, the <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a>
function returns a null pointer. Constructing a <tt class="literal">handle</tt> out of this null
pointer throws <a href="../../../../v2/errors.html#error_already_set-spec" target="_top">error_already_set</a>,
so basically, the Python exception is automatically translated into a
C++ exception when using <tt class="literal">handle</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">try</span><span class="special">
{</span><span class="identifier">
object</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">handle</span><span class="special">&lt;&gt;(</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"5/0"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))</span><span class="special">
));</span><span class="comment">
// execution will never get here:
</span><span class="keyword"> int</span><span class="identifier"> five_divided_by_zero</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="identifier">result</span><span class="special">);</span><span class="special">
}</span><span class="keyword">
catch</span><span class="special">(</span><span class="identifier">error_already_set</span><span class="special">)</span><span class="special">
{</span><span class="comment">
// handle the exception in some way
</span><span class="special">}</span></tt></pre>
<p>
The <tt class="literal">error_already_set</tt> exception class doesn't carry any information in itself.
To find out more about the Python exception that occurred, you need to use the
<a href="http://www.python.org/doc/api/exceptionHandling.html" target="_top">exception handling functions</a>
of the Python/C API in your catch-statement. This can be as simple as calling
<a href="http://www.python.org/doc/api/exceptionHandling.html#l2h-70" target="_top">PyErr_Print()</a> to
print the exception's traceback to the console, or comparing the type of the
exception with those of the <a href="http://www.python.org/doc/api/standardExceptions.html" target="_top">standard exceptions</a>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">catch</span><span class="special">(</span><span class="identifier">error_already_set</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">PyErr_ExceptionMatches</span><span class="special">(</span><span class="identifier">PyExc_ZeroDivisionError</span><span class="special">))</span><span class="special">
{</span><span class="comment">
// handle ZeroDivisionError specially
</span><span class="special"> }</span><span class="keyword">
else</span><span class="special">
{</span><span class="comment">
// print all other errors to stderr
</span><span class="identifier"> PyErr_Print</span><span class="special">();</span><span class="special">
}</span><span class="special">
}</span></tt></pre>
<p>
(To retrieve even more information from the exception you can use some of the other
exception handling functions listed <a href="http://www.python.org/doc/api/exceptionHandling.html" target="_top">here</a>.)</p>
<p>
If you'd rather not have <tt class="literal">handle</tt> throw a C++ exception when it is constructed, you
can use the <a href="../../../../v2/handle.html#allow_null-spec" target="_top">allow_null</a> function in the same
way you'd use borrowed:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">handle</span><span class="special">&lt;&gt;</span><span class="identifier"> result</span><span class="special">((</span><span class="identifier">allow_null</span><span class="special">(</span><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55" target="_top">PyRun_String</a><span class="special">(</span><span class="string">
"5/0"</span><span class="special">
,</span> <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58" target="_top">Py_eval_input</a><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()</span><span class="special">
,</span><span class="identifier"> main_namespace</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">()))));</span><span class="keyword">
if</span><span class="special"> (!</span><span class="identifier">result</span><span class="special">)</span><span class="comment">
// Python exception occurred
</span><span class="keyword">else</span><span class="comment">
// everything went okay, it's safe to use the result
</span></tt></pre>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
</tr></table>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
<title> Exception Translation</title>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.exception"></a> Exception Translation</h2></div></div></div>
<p>
All C++ exceptions must be caught at the boundary with Python code. This
boundary is the point where C++ meets Python. Boost.Python provides a
default exception handler that translates selected standard exceptions,
then gives up:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">raise</span><span class="identifier"> RuntimeError</span><span class="special">,</span><span class="char"> 'unidentifiable C++ Exception'</span></tt></pre>
<p>
Users may provide custom translation. Here's an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> PodBayDoorException</span><span class="special">;</span><span class="keyword">
void</span><span class="identifier"> translator</span><span class="special">(</span><span class="identifier">PodBayDoorException</span><span class="keyword"> const</span><span class="special">&amp;</span><span class="identifier"> x</span><span class="special">)</span><span class="special"> {</span><span class="identifier">
PyErr_SetString</span><span class="special">(</span><span class="identifier">PyExc_UserWarning</span><span class="special">,</span><span class="string"> "I'm sorry Dave..."</span><span class="special">);</span><span class="special">
}</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">kubrick</span><span class="special">)</span><span class="special"> {</span><span class="identifier">
register_exception_translator</span><span class="special">&lt;</span><span class="identifier">
PodBayDoorException</span><span class="special">&gt;(</span><span class="identifier">translator</span><span class="special">);</span><span class="special">
...</span></tt></pre>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
</tr></table>
<hr>
<div class="spirit-nav">
<a accesskey="p" href="iterators.html"><img src="../images/prev.png" alt="Prev"></a><a accesskey="u" href="../index.html"><img src="../images/up.png" alt="Up"></a><a accesskey="h" href="../index.html"><img src="../images/home.png" alt="Home"></a><a accesskey="n" href="techniques.html"><img src="../images/next.png" alt="Next"></a>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1">
<title> Exposing Classes</title>
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<meta name="generator" content="DocBook XSL Stylesheets V1.66.1">
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<link rel="prev" href="hello.html" title=" Building Hello World">
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<td align="center"><a href="../../../../../../../index.htm">Home</a></td>
<td align="center"><a href="../../../../../../../libs/libraries.htm">Libraries</a></td>
<td align="center"><a href="../../../../../../../people/people.htm">People</a></td>
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</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.exposing"></a> Exposing Classes</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="exposing.html#python.constructors">Constructors</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_data_members">Class Data Members</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_properties">Class Properties</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.inheritance">Inheritance</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_virtual_functions">Class Virtual Functions</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.virtual_functions_with_default_implementations">Virtual Functions with Default Implementations</a></span></dt>
<dt><span class="section"><a href="exposing.html#python.class_operators_special_functions">Class Operators/Special Functions</a></span></dt>
</dl></div>
<p>
Now let's expose a C++ class to Python.</p>
<p>
Consider a C++ class/struct that we want to expose to Python:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> World</span><span class="special">
{</span><span class="keyword">
void</span><span class="identifier"> set</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">)</span><span class="special"> {</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">msg</span><span class="special"> =</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> greet</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
We can expose this to Python by writing a corresponding Boost.Python
C++ Wrapper:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span><span class="special">
}</span></tt></pre>
<p>
Here, we wrote a C++ class wrapper that exposes the member functions
<tt class="literal">greet</tt> and <tt class="literal">set</tt>. Now, after building our module as a shared library, we
may use our class <tt class="literal">World</tt> in Python. Here's a sample Python session:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">World</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special">.</span><span class="identifier">set</span><span class="special">(</span><span class="string">'howdy'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="string">
'howdy'</span></tt></pre>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.constructors"></a>Constructors</h3></div></div></div>
<p>
Our previous example didn't have any explicit constructors.
Since <tt class="literal">World</tt> is declared as a plain struct, it has an implicit default
constructor. Boost.Python exposes the default constructor by default,
which is why we were able to write</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> planet</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">World</span><span class="special">()</span></tt></pre>
<p>
We may wish to wrap a class with a non-default constructor. Let us
build on our previous example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> World</span><span class="special">
{</span><span class="identifier">
World</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">):</span><span class="identifier"> msg</span><span class="special">(</span><span class="identifier">msg</span><span class="special">)</span><span class="special"> {}</span><span class="comment"> // added constructor
</span><span class="keyword"> void</span><span class="identifier"> set</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">)</span><span class="special"> {</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">msg</span><span class="special"> =</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> greet</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> msg</span><span class="special">;</span><span class="special"> }</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> msg</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
This time <tt class="literal">World</tt> has no default constructor; our previous
wrapping code would fail to compile when the library tried to expose
it. We have to tell <tt class="literal">class_&lt;World&gt;</tt> about the constructor we want to
expose instead.</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
using</span><span class="keyword"> namespace</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">python</span><span class="special">;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">hello</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span><span class="special">
}</span></tt></pre>
<p><tt class="literal">init&lt;std::string&gt;()</tt> exposes the constructor taking in a
<tt class="literal">std::string</tt> (in Python, constructors are spelled
"<tt class="literal">"<span class="underline">_init</span>_"</tt>").</p>
<p>
We can expose additional constructors by passing more <tt class="literal">init&lt;...&gt;</tt>s to
the <tt class="literal">def()</tt> member function. Say for example we have another World
constructor taking in two doubles:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">World</span><span class="special">&gt;(</span><span class="string">"World"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">init</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"greet"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">greet</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"set"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">World</span><span class="special">::</span><span class="identifier">set</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
On the other hand, if we do not wish to expose any constructors at
all, we may use <tt class="literal">no_init</tt> instead:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Abstract</span><span class="special">&gt;(</span><span class="string">"Abstract"</span><span class="special">,</span><span class="identifier"> no_init</span><span class="special">)</span></tt></pre>
<p>
This actually adds an <tt class="literal"><span class="underline">_init</span>_</tt> method which always raises a
Python RuntimeError exception.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_data_members"></a>Class Data Members</h3></div></div></div>
<p>
Data members may also be exposed to Python so that they can be
accessed as attributes of the corresponding Python class. Each data
member that we wish to be exposed may be regarded as <span class="bold"><b>read-only</b></span> or
<span class="bold"><b>read-write</b></span>. Consider this class <tt class="literal">Var</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Var</span><span class="special">
{</span><span class="identifier">
Var</span><span class="special">(</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> name</span><span class="special">)</span><span class="special"> :</span><span class="identifier"> name</span><span class="special">(</span><span class="identifier">name</span><span class="special">),</span><span class="identifier"> value</span><span class="special">()</span><span class="special"> {}</span><span class="identifier">
std</span><span class="special">::</span><span class="identifier">string</span><span class="keyword"> const</span><span class="identifier"> name</span><span class="special">;</span><span class="keyword">
float</span><span class="identifier"> value</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
Our C++ <tt class="literal">Var</tt> class and its data members can be exposed to Python:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Var</span><span class="special">&gt;(</span><span class="string">"Var"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="identifier">std</span><span class="special">::</span><span class="identifier">string</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"name"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Var</span><span class="special">::</span><span class="identifier">name</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def_readwrite</span><span class="special">(</span><span class="string">"value"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Var</span><span class="special">::</span><span class="identifier">value</span><span class="special">);</span></tt></pre>
<p>
Then, in Python, assuming we have placed our Var class inside the namespace
hello as we did before:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">Var</span><span class="special">(</span><span class="string">'pi'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">name</span><span class="special">,</span><span class="string"> 'is around'</span><span class="special">,</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="identifier">
pi</span><span class="keyword"> is</span><span class="identifier"> around</span><span class="number"> 3.14</span></tt></pre>
<p>
Note that <tt class="literal">name</tt> is exposed as <span class="bold"><b>read-only</b></span> while <tt class="literal">value</tt> is exposed
as <span class="bold"><b>read-write</b></span>.</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">name</span><span class="special"> =</span><span class="string"> 'e'</span><span class="comment"> # can't change name
</span><span class="identifier">Traceback</span><span class="special"> (</span><span class="identifier">most</span><span class="identifier"> recent</span><span class="identifier"> call</span><span class="identifier"> last</span><span class="special">):</span><span class="identifier">
File</span><span class="string"> "&lt;stdin&gt;"</span><span class="special">,</span><span class="identifier"> line</span><span class="number"> 1</span><span class="special">,</span><span class="keyword"> in</span>#<span class="identifier">
AttributeError</span><span class="special">:</span><span class="identifier"> can</span>#<span class="identifier">t</span><span class="identifier"> set</span><span class="identifier"> attribute</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_properties"></a>Class Properties</h3></div></div></div>
<p>
In C++, classes with public data members are usually frowned
upon. Well designed classes that take advantage of encapsulation hide
the class' data members. The only way to access the class' data is
through access (getter/setter) functions. Access functions expose class
properties. Here's an example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Num</span><span class="special">
{</span><span class="identifier">
Num</span><span class="special">();</span><span class="keyword">
float</span><span class="identifier"> get</span><span class="special">()</span><span class="keyword"> const</span><span class="special">;</span><span class="keyword">
void</span><span class="identifier"> set</span><span class="special">(</span><span class="keyword">float</span><span class="identifier"> value</span><span class="special">);</span><span class="special">
...</span><span class="special">
};</span></tt></pre>
<p>
However, in Python attribute access is fine; it doesn't neccessarily break
encapsulation to let users handle attributes directly, because the
attributes can just be a different syntax for a method call. Wrapping our
<tt class="literal">Num</tt> class using Boost.Python:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Num</span><span class="special">&gt;(</span><span class="string">"Num"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"rovalue"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">)</span><span class="special">
.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"value"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">set</span><span class="special">);</span></tt></pre>
<p>
And at last, in Python:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> Num</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">value</span><span class="special">,</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">rovalue</span><span class="special">
(</span><span class="number">3.14</span><span class="special">,</span><span class="number"> 3.14</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">rovalue</span><span class="special"> =</span><span class="number"> 2.17</span><span class="comment"> # error!
</span></tt></pre>
<p>
Take note that the class property <tt class="literal">rovalue</tt> is exposed as <span class="bold"><b>read-only</b></span>
since the <tt class="literal">rovalue</tt> setter member function is not passed in:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">add_property</span><span class="special">(</span><span class="string">"rovalue"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Num</span><span class="special">::</span><span class="identifier">get</span><span class="special">)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.inheritance"></a>Inheritance</h3></div></div></div>
<p>
In the previous examples, we dealt with classes that are not polymorphic.
This is not often the case. Much of the time, we will be wrapping
polymorphic classes and class hierarchies related by inheritance. We will
often have to write Boost.Python wrappers for classes that are derived from
abstract base classes.</p>
<p>
Consider this trivial inheritance structure:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special"> {</span><span class="keyword"> virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">();</span><span class="special"> };</span><span class="keyword">
struct</span><span class="identifier"> Derived</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special"> {};</span></tt></pre>
<p>
And a set of C++ functions operating on <tt class="literal">Base</tt> and <tt class="literal">Derived</tt> object
instances:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> b</span><span class="special">(</span><span class="identifier">Base</span><span class="special">*);</span><span class="keyword">
void</span><span class="identifier"> d</span><span class="special">(</span><span class="identifier">Derived</span><span class="special">*);</span><span class="identifier">
Base</span><span class="special">*</span><span class="identifier"> factory</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="keyword"> new</span><span class="identifier"> Derived</span><span class="special">;</span><span class="special"> }</span></tt></pre>
<p>
We've seen how we can wrap the base class <tt class="literal">Base</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="comment">
/*...*/</span><span class="special">
;</span></tt></pre>
<p>
Now we can inform Boost.Python of the inheritance relationship between
<tt class="literal">Derived</tt> and its base class <tt class="literal">Base</tt>. Thus:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">Derived</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special"> &gt;(</span><span class="string">"Derived"</span><span class="special">)</span><span class="comment">
/*...*/</span><span class="special">
;</span></tt></pre>
<p>
Doing so, we get some things for free:</p>
<div class="orderedlist"><ol type="1">
<li>
Derived automatically inherits all of Base's Python methods
(wrapped C++ member functions)
</li>
<li>
<span class="bold"><b>If</b></span> Base is polymorphic, <tt class="literal">Derived</tt> objects which have been passed to
Python via a pointer or reference to <tt class="literal">Base</tt> can be passed where a pointer
or reference to <tt class="literal">Derived</tt> is expected.
</li>
</ol></div>
<p>
Now, we shall expose the C++ free functions <tt class="literal">b</tt> and <tt class="literal">d</tt> and <tt class="literal">factory</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"b"</span><span class="special">,</span><span class="identifier"> b</span><span class="special">);</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"d"</span><span class="special">,</span><span class="identifier"> d</span><span class="special">);</span><span class="identifier">
def</span><span class="special">(</span><span class="string">"factory"</span><span class="special">,</span><span class="identifier"> factory</span><span class="special">);</span></tt></pre>
<p>
Note that free function <tt class="literal">factory</tt> is being used to generate new
instances of class <tt class="literal">Derived</tt>. In such cases, we use
<tt class="literal">return_value_policy&lt;manage_new_object&gt;</tt> to instruct Python to adopt
the pointer to <tt class="literal">Base</tt> and hold the instance in a new Python <tt class="literal">Base</tt>
object until the the Python object is destroyed. We shall see more of
Boost.Python <a href="functions.html#python.call_policies" title="Call Policies">call policies</a> later.</p>
<pre class="programlisting"><tt class="literal"><span class="comment">// Tell Python to take ownership of factory's result
</span><span class="identifier">def</span><span class="special">(</span><span class="string">"factory"</span><span class="special">,</span><span class="identifier"> factory</span><span class="special">,</span><span class="identifier">
return_value_policy</span><span class="special">&lt;</span><span class="identifier">manage_new_object</span><span class="special">&gt;());</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_virtual_functions"></a>Class Virtual Functions</h3></div></div></div>
<p>
In this section, we shall learn how to make functions behave polymorphically
through virtual functions. Continuing our example, let us add a virtual function
to our <tt class="literal">Base</tt> class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">()</span><span class="special"> {}</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> =</span><span class="number"> 0</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
One of the goals of Boost.Python is to be minimally intrusive on an existing C++
design. In principle, it should be possible to expose the interface for a 3rd
party library without changing it. It is not ideal to add anything to our class
<tt class="computeroutput"><span class="identifier">Base</span></tt>. Yet, when you have a virtual function that's going to be overridden in
Python and called polymorphically <span class="bold"><b>from C++</b></span>, we'll need to add some
scaffoldings to make things work properly. What we'll do is write a class
wrapper that derives from <tt class="computeroutput"><span class="identifier">Base</span></tt> that will unintrusively hook into the virtual
functions so that a Python override may be called:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> BaseWrap</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special">,</span><span class="identifier"> wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special">
{</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">)();</span><span class="special">
}</span><span class="special">
};</span></tt></pre>
<p>
Notice too that in addition to inheriting from <tt class="computeroutput"><span class="identifier">Base</span></tt>, we also multiply-
inherited <tt class="computeroutput"><span class="identifier">wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span></tt> (See <a href="../../../../v2/wrapper.html" target="_top">Wrapper</a>). The
<tt class="computeroutput"><span class="identifier">wrapper</span></tt> template makes the job of wrapping classes that are meant to
overridden in Python, easier.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>MSVC6/7 Workaround</b></span><br><br>
If you are using Microsoft Visual C++ 6 or 7, you have to write <tt class="computeroutput"><span class="identifier">f</span></tt> as:<br><br><tt class="computeroutput"><span class="keyword">return</span><span class="identifier"> call</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;(</span><span class="keyword">this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">).</span><span class="identifier">ptr</span><span class="special">());</span></tt>.</td></tr></tbody>
</table></div>
<p>
BaseWrap's overridden virtual member function <tt class="computeroutput"><span class="identifier">f</span></tt> in effect calls the
corresponding method of the Python object through <tt class="computeroutput"><span class="identifier">get_override</span></tt>.</p>
<p>
Finally, exposing <tt class="computeroutput"><span class="identifier">Base</span></tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">BaseWrap</span><span class="special">,</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">noncopyable</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> pure_virtual</span><span class="special">(&amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">))</span><span class="special">
;</span></tt></pre>
<p><tt class="computeroutput"><span class="identifier">pure_virtual</span></tt> signals Boost.Python that the function <tt class="computeroutput"><span class="identifier">f</span></tt> is a pure virtual
function.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>member function and methods</b></span><br><br>
Python, like
many object oriented languages uses the term <span class="bold"><b>methods</b></span>. Methods
correspond roughly to C++'s <span class="bold"><b>member functions</b></span>
</td></tr></tbody>
</table></div>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.virtual_functions_with_default_implementations"></a>Virtual Functions with Default Implementations</h3></div></div></div>
<p>
We've seen in the previous section how classes with pure virtual functions are
wrapped using Boost.Python's <a href="../../../../v2/wrapper.html" target="_top">class wrapper</a>
facilities. If we wish to wrap <span class="bold"><b>non</b></span>-pure-virtual functions instead, the
mechanism is a bit different.</p>
<p>
Recall that in the <a href="exposing.html#python.class_virtual_functions" title="Class Virtual Functions">previous section</a>, we
wrapped a class with a pure virtual function that we then implemented in C++, or
Python classes derived from it. Our base class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> =</span><span class="number"> 0</span><span class="special">;</span><span class="special">
};</span></tt></pre>
<p>
had a pure virtual function <tt class="literal">f</tt>. If, however, its member function <tt class="literal">f</tt> was
not declared as pure virtual:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Base</span><span class="special">
{</span><span class="keyword">
virtual</span><span class="special"> ~</span><span class="identifier">Base</span><span class="special">()</span><span class="special"> {}</span><span class="keyword">
virtual</span><span class="keyword"> int</span><span class="identifier"> f</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="number"> 0</span><span class="special">;</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
We wrap it this way:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> BaseWrap</span><span class="special"> :</span><span class="identifier"> Base</span><span class="special">,</span><span class="identifier"> wrapper</span><span class="special">&lt;</span><span class="identifier">Base</span><span class="special">&gt;</span><span class="special">
{</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">()</span><span class="special">
{</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">override</span><span class="identifier"> f</span><span class="special"> =</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">get_override</span><span class="special">(</span><span class="string">"f"</span><span class="special">))</span><span class="keyword">
return</span><span class="identifier"> f</span><span class="special">();</span><span class="comment"> // *note*
</span><span class="keyword"> return</span><span class="identifier"> Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">();</span><span class="special">
}</span><span class="keyword">
int</span><span class="identifier"> default_f</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="keyword"> this</span><span class="special">-&gt;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">();</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
Notice how we implemented <tt class="computeroutput"><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">f</span></tt>. Now, we have to check if there is an
override for <tt class="computeroutput"><span class="identifier">f</span></tt>. If none, then we call <tt class="computeroutput"><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">()</span></tt>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>MSVC6/7 Workaround</b></span><br><br>
If you are using Microsoft Visual C++ 6 or 7, you have to rewrite the line
with the <tt class="computeroutput"><span class="special">*</span><span class="identifier">note</span><span class="special">*</span></tt> as:<br><br><tt class="computeroutput"><span class="keyword">return</span><span class="identifier"> call</span><span class="special">&lt;</span><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*&gt;(</span><span class="identifier">f</span><span class="special">.</span><span class="identifier">ptr</span><span class="special">());</span></tt>.</td></tr></tbody>
</table></div>
<p>
Finally, exposing:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">BaseWrap</span><span class="special">,</span><span class="identifier"> boost</span><span class="special">::</span><span class="identifier">noncopyable</span><span class="special">&gt;(</span><span class="string">"Base"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">default_f</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
Take note that we expose both <tt class="computeroutput"><span class="special">&amp;</span><span class="identifier">Base</span><span class="special">::</span><span class="identifier">f</span></tt> and <tt class="computeroutput"><span class="special">&amp;</span><span class="identifier">BaseWrap</span><span class="special">::</span><span class="identifier">default_f</span></tt>.
Boost.Python needs to keep track of 1) the dispatch function <tt class="literal">f</tt> and 2) the
forwarding function to its default implementation <tt class="literal">default_f</tt>. There's a
special <tt class="literal">def</tt> function for this purpose.</p>
<p>
In Python, the results would be as expected:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> base</span><span class="special"> =</span><span class="identifier"> Base</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> class</span><span class="identifier"> Derived</span><span class="special">(</span><span class="identifier">Base</span><span class="special">):</span><span class="special">
...</span><span class="keyword"> def</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="special">
...</span><span class="keyword"> return</span><span class="number"> 42</span><span class="special">
...</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> derived</span><span class="special"> =</span><span class="identifier"> Derived</span><span class="special">()</span></tt></pre>
<p>
Calling <tt class="literal">base.f()</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> base</span><span class="special">.</span><span class="identifier">f</span><span class="special">()</span><span class="number">
0</span></tt></pre>
<p>
Calling <tt class="literal">derived.f()</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> derived</span><span class="special">.</span><span class="identifier">f</span><span class="special">()</span><span class="number">
42</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.class_operators_special_functions"></a>Class Operators/Special Functions</h3></div></div></div>
<a name="class_operators_special_functions.python_operators"></a><h2>
<a name="id447543"></a>Python Operators</h2>
<p>
C is well known for the abundance of operators. C++ extends this to the
extremes by allowing operator overloading. Boost.Python takes advantage of
this and makes it easy to wrap C++ operator-powered classes.</p>
<p>
Consider a file position class <tt class="literal">FilePos</tt> and a set of operators that take
on FilePos instances:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> FilePos</span><span class="special"> {</span><span class="comment"> /*...*/</span><span class="special"> };</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">+(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">+(</span><span class="keyword">int</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span><span class="keyword">
int</span><span class="keyword"> operator</span><span class="special">-(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="keyword"> operator</span><span class="special">-(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">+=(</span><span class="identifier">FilePos</span><span class="special">&amp;,</span><span class="keyword"> int</span><span class="special">);</span><span class="identifier">
FilePos</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">-=(</span><span class="identifier">FilePos</span><span class="special">&amp;,</span><span class="keyword"> int</span><span class="special">);</span><span class="keyword">
bool</span><span class="keyword"> operator</span><span class="special">&lt;(</span><span class="identifier">FilePos</span><span class="special">,</span><span class="identifier"> FilePos</span><span class="special">);</span></tt></pre>
<p>
The class and the various operators can be mapped to Python rather easily
and intuitively:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">FilePos</span><span class="special">&gt;(</span><span class="string">"FilePos"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> +</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __add__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="keyword">int</span><span class="special">()</span><span class="special"> +</span><span class="identifier"> self</span><span class="special">)</span><span class="comment"> // __radd__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -</span><span class="identifier"> self</span><span class="special">)</span><span class="comment"> // __sub__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __sub__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> +=</span><span class="keyword"> int</span><span class="special">())</span><span class="comment"> // __iadd__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> -=</span><span class="identifier"> other</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">self</span><span class="special"> &lt;</span><span class="identifier"> self</span><span class="special">);</span><span class="comment"> // __lt__
</span></tt></pre>
<p>
The code snippet above is very clear and needs almost no explanation at
all. It is virtually the same as the operators' signatures. Just take
note that <tt class="literal">self</tt> refers to FilePos object. Also, not every class <tt class="literal">T</tt> that
you might need to interact with in an operator expression is (cheaply)
default-constructible. You can use <tt class="literal">other&lt;T&gt;()</tt> in place of an actual
<tt class="literal">T</tt> instance when writing "self expressions".</p>
<a name="class_operators_special_functions.special_methods"></a><h2>
<a name="id448230"></a>Special Methods</h2>
<p>
Python has a few more <span class="emphasis"><em>Special Methods</em></span>. Boost.Python supports all of the
standard special method names supported by real Python class instances. A
similar set of intuitive interfaces can also be used to wrap C++ functions
that correspond to these Python <span class="emphasis"><em>special functions</em></span>. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> Rational</span><span class="special">
{</span><span class="keyword"> public</span><span class="special">:</span><span class="keyword"> operator</span><span class="keyword"> double</span><span class="special">()</span><span class="keyword"> const</span><span class="special">;</span><span class="special"> };</span><span class="identifier">
Rational</span><span class="identifier"> pow</span><span class="special">(</span><span class="identifier">Rational</span><span class="special">,</span><span class="identifier"> Rational</span><span class="special">);</span><span class="identifier">
Rational</span><span class="identifier"> abs</span><span class="special">(</span><span class="identifier">Rational</span><span class="special">);</span><span class="identifier">
ostream</span><span class="special">&amp;</span><span class="keyword"> operator</span><span class="special">&lt;&lt;(</span><span class="identifier">ostream</span><span class="special">&amp;,</span><span class="identifier">Rational</span><span class="special">);</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">Rational</span><span class="special">&gt;(</span><span class="string">"Rational"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">float_</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __float__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">pow</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> other</span><span class="special">&lt;</span><span class="identifier">Rational</span><span class="special">&gt;))</span><span class="comment"> // __pow__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">abs</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __abs__
</span><span class="special"> .</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">str</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span><span class="comment"> // __str__
</span><span class="special"> ;</span></tt></pre>
<p>
Need we say more?</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> What is the business of <tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt>?
Well, the method <tt class="computeroutput"><span class="identifier">str</span></tt> requires the <tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt> to do its work (i.e.
<tt class="computeroutput"><span class="keyword">operator</span><span class="special">&lt;&lt;</span></tt> is used by the method defined by <tt class="computeroutput"><span class="identifier">def</span><span class="special">(</span><span class="identifier">str</span><span class="special">(</span><span class="identifier">self</span><span class="special">))</span></tt>.</td></tr></tbody>
</table></div>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.functions"></a>Functions</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="functions.html#python.call_policies">Call Policies</a></span></dt>
<dt><span class="section"><a href="functions.html#python.overloading">Overloading</a></span></dt>
<dt><span class="section"><a href="functions.html#python.default_arguments">Default Arguments</a></span></dt>
<dt><span class="section"><a href="functions.html#python.auto_overloading">Auto-Overloading</a></span></dt>
</dl></div>
<p>
In this chapter, we'll look at Boost.Python powered functions in closer
detail. We shall see some facilities to make exposing C++ functions to
Python safe from potential pifalls such as dangling pointers and
references. We shall also see facilities that will make it even easier for
us to expose C++ functions that take advantage of C++ features such as
overloading and default arguments.</p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="emphasis"><em>Read on...</em></span></p></blockquote></div>
<p>
But before you do, you might want to fire up Python 2.2 or later and type
<tt class="literal">&gt;&gt;&gt; import this</tt>.</p>
<pre class="programlisting"><tt class="literal">&gt;&gt;&gt; import this
The Zen of Python, by Tim Peters
Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than <span class="bold"><b>right</b></span> now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
</tt></pre>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.call_policies"></a>Call Policies</h3></div></div></div>
<p>
In C++, we often deal with arguments and return types such as pointers
and references. Such primitive types are rather, ummmm, low level and
they really don't tell us much. At the very least, we don't know the
owner of the pointer or the referenced object. No wonder languages
such as Java and Python never deal with such low level entities. In
C++, it's usually considered a good practice to use smart pointers
which exactly describe ownership semantics. Still, even good C++
interfaces use raw references and pointers sometimes, so Boost.Python
must deal with them. To do this, it may need your help. Consider the
following C++ function:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">);</span></tt></pre>
<p>
How should the library wrap this function? A naive approach builds a
Python X object around result reference. This strategy might or might
not work out. Here's an example where it didn't</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">)</span> #<span class="identifier"> x</span><span class="identifier"> refers</span><span class="identifier"> to</span><span class="identifier"> some</span><span class="identifier"> C</span><span class="special">++</span><span class="identifier"> X</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> del</span><span class="identifier"> y</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">some_method</span><span class="special">()</span> #<span class="identifier"> CRASH</span><span class="special">!</span></tt></pre>
<p>
What's the problem?</p>
<p>
Well, what if f() was implemented as shown below:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
y</span><span class="special">.</span><span class="identifier">z</span><span class="special"> =</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
return</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
The problem is that the lifetime of result X&amp; is tied to the lifetime
of y, because the f() returns a reference to a member of the y
object. This idiom is is not uncommon and perfectly acceptable in the
context of C++. However, Python users should not be able to crash the
system just by using our C++ interface. In this case deleting y will
invalidate the reference to X. We have a dangling reference.</p>
<p>
Here's what's happening:</p>
<div class="orderedlist"><ol type="1">
<li>
<tt class="literal">f</tt> is called passing in a reference to <tt class="literal">y</tt> and a pointer to <tt class="literal">z</tt>
</li>
<li>
A reference to <tt class="literal">y.x</tt> is returned
</li>
<li>
<tt class="literal">y</tt> is deleted. <tt class="literal">x</tt> is a dangling reference
</li>
<li>
<tt class="literal">x.some_method()</tt> is called
</li>
<li><span class="bold"><b>BOOM!</b></span></li>
</ol></div>
<p>
We could copy result into a new object:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">).</span><span class="identifier">set</span><span class="special">(</span><span class="number">42</span><span class="special">)</span><span class="comment"> # Result disappears
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">get</span><span class="special">()</span><span class="comment"> # No crash, but still bad
</span><span class="number">3.14</span></tt></pre>
<p>
This is not really our intent of our C++ interface. We've broken our
promise that the Python interface should reflect the C++ interface as
closely as possible.</p>
<p>
Our problems do not end there. Suppose Y is implemented as follows:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> Y</span><span class="special">
{</span><span class="identifier">
X</span><span class="identifier"> x</span><span class="special">;</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
int</span><span class="identifier"> z_value</span><span class="special">()</span><span class="special"> {</span><span class="keyword"> return</span><span class="identifier"> z</span><span class="special">-&gt;</span><span class="identifier">value</span><span class="special">();</span><span class="special"> }</span><span class="special">
};</span></tt></pre>
<p>
Notice that the data member <tt class="literal">z</tt> is held by class Y using a raw
pointer. Now we have a potential dangling pointer problem inside Y:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">y</span><span class="special">,</span><span class="identifier"> z</span><span class="special">)</span> #<span class="identifier"> y</span><span class="identifier"> refers</span><span class="identifier"> to</span><span class="identifier"> z</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> del</span><span class="identifier"> z</span>       #<span class="identifier"> Kill</span><span class="identifier"> the</span><span class="identifier"> z</span><span class="identifier"> object</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">z_value</span><span class="special">()</span> #<span class="identifier"> CRASH</span><span class="special">!</span></tt></pre>
<p>
For reference, here's the implementation of <tt class="literal">f</tt> again:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">X</span><span class="special">&amp;</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">Y</span><span class="special">&amp;</span><span class="identifier"> y</span><span class="special">,</span><span class="identifier"> Z</span><span class="special">*</span><span class="identifier"> z</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
y</span><span class="special">.</span><span class="identifier">z</span><span class="special"> =</span><span class="identifier"> z</span><span class="special">;</span><span class="keyword">
return</span><span class="identifier"> y</span><span class="special">.</span><span class="identifier">x</span><span class="special">;</span><span class="special">
}</span></tt></pre>
<p>
Here's what's happening:</p>
<div class="orderedlist"><ol type="1">
<li>
<tt class="literal">f</tt> is called passing in a reference to <tt class="literal">y</tt> and a pointer to <tt class="literal">z</tt>
</li>
<li>
A pointer to <tt class="literal">z</tt> is held by <tt class="literal">y</tt>
</li>
<li>
A reference to <tt class="literal">y.x</tt> is returned
</li>
<li>
<tt class="literal">z</tt> is deleted. <tt class="literal">y.z</tt> is a dangling pointer
</li>
<li>
<tt class="literal">y.z_value()</tt> is called
</li>
<li>
<tt class="literal">z-&gt;value()</tt> is called
</li>
<li><span class="bold"><b>BOOM!</b></span></li>
</ol></div>
<a name="call_policies.call_policies"></a><h2>
<a name="id449896"></a>Call Policies</h2>
<p>
Call Policies may be used in situations such as the example detailed above.
In our example, <tt class="literal">return_internal_reference</tt> and <tt class="literal">with_custodian_and_ward</tt>
are our friends:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">,</span><span class="identifier">
return_internal_reference</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="identifier">
with_custodian_and_ward</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="number"> 2</span><span class="special">&gt;</span><span class="special"> &gt;());</span></tt></pre>
<p>
What are the <tt class="literal">1</tt> and <tt class="literal">2</tt> parameters, you ask?</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">return_internal_reference</span><span class="special">&lt;</span><span class="number">1</span></tt></pre>
<p>
Informs Boost.Python that the first argument, in our case <tt class="literal">Y&amp; y</tt>, is the
owner of the returned reference: <tt class="literal">X&amp;</tt>. The "<tt class="literal">1</tt>" simply specifies the
first argument. In short: "return an internal reference <tt class="literal">X&amp;</tt> owned by the
1st argument <tt class="literal">Y&amp; y</tt>".</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">with_custodian_and_ward</span><span class="special">&lt;</span><span class="number">1</span><span class="special">,</span><span class="number"> 2</span><span class="special">&gt;</span></tt></pre>
<p>
Informs Boost.Python that the lifetime of the argument indicated by ward
(i.e. the 2nd argument: <tt class="literal">Z* z</tt>) is dependent on the lifetime of the
argument indicated by custodian (i.e. the 1st argument: <tt class="literal">Y&amp; y</tt>).</p>
<p>
It is also important to note that we have defined two policies above. Two
or more policies can be composed by chaining. Here's the general syntax:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">policy1</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...,</span><span class="identifier">
policy2</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...,</span><span class="identifier">
policy3</span><span class="special">&lt;</span><span class="identifier">args</span><span class="special">...&gt;</span><span class="special"> &gt;</span><span class="special"> &gt;</span></tt></pre>
<p>
Here is the list of predefined call policies. A complete reference detailing
these can be found <a href="../../../../v2/reference.html#models_of_call_policies" target="_top">here</a>.</p>
<div class="itemizedlist"><ul type="disc">
<li>
<span class="bold"><b>with_custodian_and_ward</b></span><br>
Ties lifetimes of the arguments
</li>
<li>
<span class="bold"><b>with_custodian_and_ward_postcall</b></span><br>
Ties lifetimes of the arguments and results
</li>
<li>
<span class="bold"><b>return_internal_reference</b></span><br>
Ties lifetime of one argument to that of result
</li>
<li>
<span class="bold"><b>return_value_policy&lt;T&gt; with T one of:</b></span><br>
</li>
<li>
<span class="bold"><b>reference_existing_object</b></span><br>
naive (dangerous) approach
</li>
<li>
<span class="bold"><b>copy_const_reference</b></span><br>
Boost.Python v1 approach
</li>
<li>
<span class="bold"><b>copy_non_const_reference</b></span><br>
</li>
<li>
<span class="bold"><b>manage_new_object</b></span><br>
Adopt a pointer and hold the instance
</li>
</ul></div>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/smiley.png"></span><span class="bold"><b>Remember the Zen, Luke:</b></span><br><br>
"Explicit is better than implicit"<br>
"In the face of ambiguity, refuse the temptation to guess"<br>
</td></tr></tbody>
</table></div>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.overloading"></a>Overloading</h3></div></div></div>
<p>
The following illustrates a scheme for manually wrapping an overloaded
member functions. Of course, the same technique can be applied to wrapping
overloaded non-member functions.</p>
<p>
We have here our C++ class:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> X</span><span class="special">
{</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> b</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
bool</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="keyword"> true</span><span class="special">;</span><span class="special">
}</span><span class="keyword">
int</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="keyword">
return</span><span class="identifier"> a</span><span class="special"> +</span><span class="identifier"> b</span><span class="special"> +</span><span class="identifier"> c</span><span class="special">;</span><span class="special">
};</span><span class="special">
};</span></tt></pre>
<p>
Class X has 4 overloaded functions. We shall start by introducing some
member function pointer variables:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx1</span><span class="special">)(</span><span class="keyword">int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx2</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx3</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">,</span><span class="keyword"> char</span><span class="special">)=</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
int</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx4</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span></tt></pre>
<p>
With these in hand, we can proceed to define and wrap this for Python:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx1</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx2</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx3</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx4</span><span class="special">)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.default_arguments"></a>Default Arguments</h3></div></div></div>
<p>
Boost.Python wraps (member) function pointers. Unfortunately, C++ function
pointers carry no default argument info. Take a function <tt class="literal">f</tt> with default
arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="identifier"> f</span><span class="special">(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special"> =</span><span class="number"> 3.14</span><span class="special">,</span><span class="keyword"> char</span><span class="keyword"> const</span><span class="special">*</span><span class="special"> =</span><span class="string"> "hello"</span><span class="special">);</span></tt></pre>
<p>
But the type of a pointer to the function <tt class="literal">f</tt> has no information
about its default arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="special">(*</span><span class="identifier">g</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword">double</span><span class="special">,</span><span class="keyword">char</span><span class="keyword"> const</span><span class="special">*)</span><span class="special"> =</span><span class="identifier"> f</span><span class="special">;</span><span class="comment"> // defaults lost!
</span></tt></pre>
<p>
When we pass this function pointer to the <tt class="literal">def</tt> function, there is no way
to retrieve the default arguments:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">);</span><span class="comment"> // defaults lost!
</span></tt></pre>
<p>
Because of this, when wrapping C++ code, we had to resort to manual
wrapping as outlined in the <a href="functions.html#python.overloading" title="Overloading">previous section</a>, or
writing thin wrappers:</p>
<pre class="programlisting"><tt class="literal"><span class="comment">// write "thin wrappers"
</span><span class="keyword">int</span><span class="identifier"> f1</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> x</span><span class="special">)</span><span class="special"> {</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">);</span><span class="special"> }</span><span class="keyword">
int</span><span class="identifier"> f2</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> x</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> y</span><span class="special">)</span><span class="special"> {</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier">y</span><span class="special">);</span><span class="special"> }</span><span class="comment">
/*...*/
// in module init
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f</span><span class="special">);</span><span class="comment"> // all arguments
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f2</span><span class="special">);</span><span class="comment"> // two arguments
</span><span class="identifier"> def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> f1</span><span class="special">);</span><span class="comment"> // one argument
</span></tt></pre>
<p>
When you want to wrap functions (or member functions) that either:</p>
<div class="itemizedlist"><ul type="disc">
<li>
have default arguments, or
</li>
<li>
are overloaded with a common sequence of initial arguments
</li>
</ul></div>
<a name="default_arguments.boost_python_function_overloads"></a><h2>
<a name="id451716"></a>BOOST_PYTHON_FUNCTION_OVERLOADS</h2>
<p>
Boost.Python now has a way to make it easier. For instance, given a function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">int</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> b</span><span class="special"> =</span><span class="number"> 1</span><span class="special">,</span><span class="keyword"> unsigned</span><span class="identifier"> c</span><span class="special"> =</span><span class="number"> 2</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> d</span><span class="special"> =</span><span class="number"> 3</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
The macro invocation:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">foo_overloads</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 4</span><span class="special">)</span></tt></pre>
<p>
will automatically create the thin wrappers for us. This macro will create
a class <tt class="literal">foo_overloads</tt> that can be passed on to <tt class="literal">def(...)</tt>. The third
and fourth macro argument are the minimum arguments and maximum arguments,
respectively. In our <tt class="literal">foo</tt> function the minimum number of arguments is 1
and the maximum number of arguments is 4. The <tt class="literal">def(...)</tt> function will
automatically add all the foo variants for us:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">def</span><span class="special">(</span><span class="string">"foo"</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="identifier"> foo_overloads</span><span class="special">());</span></tt></pre>
<a name="default_arguments.boost_python_member_function_overloads"></a><h2>
<a name="id451995"></a>BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</h2>
<p>
Objects here, objects there, objects here there everywhere. More frequently
than anything else, we need to expose member functions of our classes to
Python. Then again, we have the same inconveniences as before when default
arguments or overloads with a common sequence of initial arguments come
into play. Another macro is provided to make this a breeze.</p>
<p>
Like <tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt>,
<tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> may be used to automatically create
the thin wrappers for wrapping member functions. Let's have an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> george</span><span class="special">
{</span><span class="keyword">
void</span><span class="identifier">
wack_em</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special"> =</span><span class="number"> 0</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special"> =</span><span class="char"> 'x'</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="special">
};</span></tt></pre>
<p>
The macro invocation:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">george_overloads</span><span class="special">,</span><span class="identifier"> wack_em</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 3</span><span class="special">)</span></tt></pre>
<p>
will generate a set of thin wrappers for george's <tt class="literal">wack_em</tt> member function
accepting a minimum of 1 and a maximum of 3 arguments (i.e. the third and
fourth macro argument). The thin wrappers are all enclosed in a class named
<tt class="literal">george_overloads</tt> that can then be used as an argument to <tt class="literal">def(...)</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"wack_em"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">george</span><span class="special">::</span><span class="identifier">wack_em</span><span class="special">,</span><span class="identifier"> george_overloads</span><span class="special">());</span></tt></pre>
<p>
See the <a href="../../../../v2/overloads.html#BOOST_PYTHON_FUNCTION_OVERLOADS-spec" target="_top">overloads reference</a>
for details.</p>
<a name="default_arguments.init_and_optional"></a><h2>
<a name="id452323"></a>init and optional</h2>
<p>
A similar facility is provided for class constructors, again, with
default arguments or a sequence of overloads. Remember <tt class="literal">init&lt;...&gt;</tt>? For example,
given a class X with a constructor:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">struct</span><span class="identifier"> X</span><span class="special">
{</span><span class="identifier">
X</span><span class="special">(</span><span class="keyword">int</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> b</span><span class="special"> =</span><span class="char"> 'D'</span><span class="special">,</span><span class="identifier"> std</span><span class="special">::</span><span class="identifier">string</span><span class="identifier"> c</span><span class="special"> =</span><span class="string"> "constructor"</span><span class="special">,</span><span class="keyword"> double</span><span class="identifier"> d</span><span class="special"> =</span><span class="number"> 0.0</span><span class="special">);</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
You can easily add this constructor to Boost.Python in one shot:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="identifier">init</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">,</span><span class="identifier"> optional</span><span class="special">&lt;</span><span class="keyword">char</span><span class="special">,</span><span class="identifier"> std</span><span class="special">::</span><span class="identifier">string</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;</span><span class="special"> &gt;())</span></tt></pre>
<p>
Notice the use of <tt class="literal">init&lt;...&gt;</tt> and <tt class="literal">optional&lt;...&gt;</tt> to signify the default
(optional arguments).</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.auto_overloading"></a>Auto-Overloading</h3></div></div></div>
<p>
It was mentioned in passing in the previous section that
<tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt> and <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt>
can also be used for overloaded functions and member functions with a
common sequence of initial arguments. Here is an example:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> foo</span><span class="special">()</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span><span class="keyword">
void</span><span class="identifier"> foo</span><span class="special">(</span><span class="keyword">bool</span><span class="identifier"> a</span><span class="special">,</span><span class="keyword"> int</span><span class="identifier"> b</span><span class="special">,</span><span class="keyword"> char</span><span class="identifier"> c</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/*...*/</span><span class="special">
}</span></tt></pre>
<p>
Like in the previous section, we can generate thin wrappers for these
overloaded functions in one-shot:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">foo_overloads</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="number"> 0</span><span class="special">,</span><span class="number"> 3</span><span class="special">)</span></tt></pre>
<p>
Then...</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"foo"</span><span class="special">,</span><span class="identifier"> foo</span><span class="special">,</span><span class="identifier"> foo_overloads</span><span class="special">());</span></tt></pre>
<p>
Notice though that we have a situation now where we have a minimum of zero
(0) arguments and a maximum of 3 arguments.</p>
<a name="auto_overloading.manual_wrapping"></a><h2>
<a name="id452969"></a>Manual Wrapping</h2>
<p>
It is important to emphasize however that <span class="bold"><b>the overloaded functions must
have a common sequence of initial arguments</b></span>. Otherwise, our scheme above
will not work. If this is not the case, we have to wrap our functions
<a href="functions.html#python.overloading" title="Overloading">manually</a>.</p>
<p>
Actually, we can mix and match manual wrapping of overloaded functions and
automatic wrapping through <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> and
its sister, <tt class="literal">BOOST_PYTHON_FUNCTION_OVERLOADS</tt>. Following up on our example
presented in the section <a href="functions.html#python.overloading" title="Overloading">on overloading</a>, since the
first 4 overload functins have a common sequence of initial arguments, we
can use <tt class="literal">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</tt> to automatically wrap the
first three of the <tt class="literal">def</tt>s and manually wrap just the last. Here's
how we'll do this:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">BOOST_PYTHON_MEMBER_FUNCTION_OVERLOADS</span><span class="special">(</span><span class="identifier">xf_overloads</span><span class="special">,</span><span class="identifier"> f</span><span class="special">,</span><span class="number"> 1</span><span class="special">,</span><span class="number"> 4</span><span class="special">)</span></tt></pre>
<p>
Create a member function pointers as above for both X::f overloads:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">bool</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx1</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> double</span><span class="special">,</span><span class="keyword"> char</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span><span class="keyword">
int</span><span class="special"> (</span><span class="identifier">X</span><span class="special">::*</span><span class="identifier">fx2</span><span class="special">)(</span><span class="keyword">int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">,</span><span class="keyword"> int</span><span class="special">)</span><span class="special"> =</span><span class="special"> &amp;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">f</span><span class="special">;</span></tt></pre>
<p>
Then...</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx1</span><span class="special">,</span><span class="identifier"> xf_overloads</span><span class="special">());</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"f"</span><span class="special">,</span><span class="identifier"> fx2</span><span class="special">)</span></tt></pre>
</div>
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<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.hello"></a> Building Hello World</h2></div></div></div>
<a name="hello.from_start_to_finish"></a><h2>
<a name="id374047"></a>From Start To Finish</h2>
<p>
Now the first thing you'd want to do is to build the Hello World module and
try it for yourself in Python. In this section, we shall outline the steps
necessary to achieve that. We shall use the build tool that comes bundled
with every boost distribution: <span class="bold"><b>bjam</b></span>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>Building without bjam</b></span><br><br>
Besides bjam, there are of course other ways to get your module built.
What's written here should not be taken as "the one and only way".
There are of course other build tools apart from <tt class="literal">bjam</tt>.<br><br>
Take note however that the preferred build tool for Boost.Python is bjam.
There are so many ways to set up the build incorrectly. Experience shows
that 90% of the "I can't build Boost.Python" problems come from people
who had to use a different tool.
</td></tr></tbody>
</table></div>
<p>
We shall skip over the details. Our objective will be to simply create the
hello world module and run it in Python. For a complete reference to
building Boost.Python, check out: <a href="../../../../building.html" target="_top">building.html</a>.
After this brief <span class="emphasis"><em>bjam</em></span> tutorial, we should have built two DLLs:</p>
<div class="itemizedlist"><ul type="disc">
<li>
boost_python.dll
</li>
<li>
hello.pyd
</li>
</ul></div>
<p>
if you are on Windows, and</p>
<div class="itemizedlist"><ul type="disc">
<li>
libboost_python.so
</li>
<li>
hello.so
</li>
</ul></div>
<p>
if you are on Unix.</p>
<p>
The tutorial example can be found in the directory:
<tt class="literal">libs/python/example/tutorial</tt>. There, you can find:</p>
<div class="itemizedlist"><ul type="disc">
<li>
hello.cpp
</li>
<li>
Jamfile
</li>
</ul></div>
<p>
The <tt class="literal">hello.cpp</tt> file is our C++ hello world example. The <tt class="literal">Jamfile</tt> is a
minimalist <span class="emphasis"><em>bjam</em></span> script that builds the DLLs for us.</p>
<p>
Before anything else, you should have the bjam executable in your boost
directory or somewhere in your path such that <tt class="literal">bjam</tt> can be executed in
the command line. Pre-built Boost.Jam executables are available for most
platforms. The complete list of Bjam executables can be found
<a href="http://sourceforge.net/project/showfiles.php?group_id=7586" target="_top">here</a>.</p>
<a name="hello.let_s_jam_"></a><h2>
<a name="id372653"></a>Let's Jam!</h2>
<p><span class="inlinemediaobject"><img src="../images/jam.png"></span></p>
<p>
Here is our minimalist Jamfile:</p>
<pre class="programlisting"><tt class="literal"># This is the top of our own project tree
project-root ;
import python ;
extension hello # Declare a Python extension called hello
: hello.cpp # source
# requirements and dependencies for Boost.Python extensions
&lt;template&gt;@boost/libs/python/build/extension
;
</tt></pre>
<p>
First, we need to specify our location. You may place your project anywhere.
<tt class="literal">project-root</tt> allows you to do that.</p>
<pre class="programlisting"><tt class="literal">project-root ;
</tt></pre>
<p>
By doing so, you'll need a Jamrules file. Simply copy the one in the
<a href="../../../../../example/tutorial/Jamrules" target="_top">example/tutorial directory</a> and tweak
the <tt class="literal">path-global BOOST_ROOT</tt> to where your boost root directory is. The file
has <a href="../../../../../example/tutorial/Jamrules" target="_top">detailed instructions</a> you can follow.</p>
<p>
Then we will import the definitions needed by Python modules:</p>
<pre class="programlisting"><tt class="literal">import python ;
</tt></pre>
<p>
Finally we declare our <tt class="literal">hello</tt> extension:</p>
<pre class="programlisting"><tt class="literal">extension hello # Declare a Python extension called hello
: hello.cpp # source
# requirements and dependencies for Boost.Python extensions
&lt;template&gt;@boost/libs/python/build/extension
;
</tt></pre>
<p>
The last part tells BJam that we are depending on the Boost Python Library.</p>
<a name="hello.running_bjam"></a><h2>
<a name="id372775"></a>Running bjam</h2>
<p><span class="emphasis"><em>bjam</em></span> is run using your operating system's command line interpreter.</p>
<div class="blockquote"><blockquote class="blockquote"><p>Start it up.</p></blockquote></div>
<p>
Make sure that the environment is set so that we can invoke the C++
compiler. With MSVC, that would mean running the <tt class="literal">Vcvars32.bat</tt> batch
file. For instance:</p>
<pre class="programlisting"><tt class="literal">C:\Program Files\Microsoft Visual Studio .NET 2003\Common7\Tools\vsvars32.bat
</tt></pre>
<p>
Some environment variables will have to be setup for proper building of our
Python modules. Example:</p>
<pre class="programlisting"><tt class="literal">set PYTHON_ROOT=c:/dev/tools/python
set PYTHON_VERSION=2.2
</tt></pre>
<p>
The above assumes that the Python installation is in <tt class="literal">c:/dev/tools/python</tt>
and that we are using Python version 2.2. You'll have to tweak these
appropriately.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/tip.png"></span> Be sure not to include a third number, e.g. <span class="bold"><b>not</b></span> "2.2.1",
even if that's the version you have.</td></tr></tbody>
</table></div>
<p>
Take note that you may also do that through the Jamrules file we put in
our project as detailed above. The file
has <a href="../../../../../example/tutorial/Jamrules" target="_top">detailed instructions</a> you
can follow.</p>
<p>
Now we are ready... Be sure to <tt class="literal">cd</tt> to <tt class="literal">libs/python/example/tutorial</tt>
where the tutorial <tt class="literal">"hello.cpp"</tt> and the <tt class="literal">"Jamfile"</tt> is situated.</p>
<p>
Finally:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">bjam</span><span class="special"> -</span><span class="identifier">sTOOLS</span><span class="special">=</span><span class="identifier">vc</span><span class="special">-</span><span class="number">7</span><span class="identifier">_1</span></tt></pre>
<p>
We are again assuming that we are using Microsoft Visual C++ version 7.1. If
not, then you will have to specify the appropriate tool. See
<a href="../../../../../../../tools/build/index.html" target="_top">Building Boost Libraries</a> for
further details.</p>
<p>
It should be building now:</p>
<pre class="programlisting"><tt class="literal">cd C:\dev\boost\libs\python\example\tutorial
bjam -sTOOLS=msvc
...patience...
...found 1703 targets...
...updating 40 targets...
</tt></pre>
<p>
And so on... Finally:</p>
<pre class="programlisting"><tt class="literal">Creating library bin\boost\libs\python\build\boost_python.dll\vc-7_1\debug\th
reading-multi\boost_python.lib and object bin\boost\libs\python\build\boost_pyth
on.dll\vc-7_1\debug\threading-multi\boost_python.exp
vc-C++ bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.obj
hello.cpp
vc-Link bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.pyd bin\tutori
al\hello.pyd\vc-7_1\debug\threading-multi\hello.lib
Creating library bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.li
b and object bin\tutorial\hello.pyd\vc-7_1\debug\threading-multi\hello.exp
...updated 31 targets...
</tt></pre>
<p>
If all is well, you should now have:</p>
<div class="itemizedlist"><ul type="disc">
<li>
boost_python.dll
</li>
<li>
hello.pyd
</li>
</ul></div>
<p>
if you are on Windows, and</p>
<div class="itemizedlist"><ul type="disc">
<li>
libboost_python.so
</li>
<li>
hello.so
</li>
</ul></div>
<p>
if you are on Unix.</p>
<p><tt class="literal">boost_python.dll</tt> and <tt class="literal">hello.pyd</tt> can be found somewhere in your project's
<tt class="literal">bin</tt> directory. After a successful build, you can just link in these DLLs with
the Python interpreter. In Windows for example, you can simply put these libraries
inside the directory where the Python executable is.</p>
<p>
You may now fire up Python and run our hello module:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> hello</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> hello</span><span class="special">.</span><span class="identifier">greet</span><span class="special">()</span><span class="identifier">
hello</span><span class="special">,</span><span class="identifier"> world</span></tt></pre>
<p></p>
<div class="blockquote"><blockquote class="blockquote"><p><span class="bold"><b>There you go... Have fun!</b></span></p></blockquote></div>
</div>
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<td align="left"></td>
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</tr></table>
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</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.iterators"></a>Iterators</h2></div></div></div>
<p>
In C++, and STL in particular, we see iterators everywhere. Python also has
iterators, but these are two very different beasts.</p>
<p><span class="bold"><b>C++ iterators:</b></span></p>
<div class="itemizedlist"><ul type="disc">
<li>
C++ has 5 type categories (random-access, bidirectional, forward, input, output)
</li>
<li>
There are 2 Operation categories: reposition, access
</li>
<li>
A pair of iterators is needed to represent a (first/last) range.
</li>
</ul></div>
<p><span class="bold"><b>Python Iterators:</b></span></p>
<div class="itemizedlist"><ul type="disc">
<li>
1 category (forward)
</li>
<li>
1 operation category (next())
</li>
<li>
Raises StopIteration exception at end
</li>
</ul></div>
<p>
The typical Python iteration protocol: <tt class="literal"><span class="bold"><b>for y in x...</b></span></tt> is as follows:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">iter</span><span class="special"> =</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">__iter__</span><span class="special">()</span><span class="comment"> # get iterator
</span><span class="keyword">try</span><span class="special">:</span><span class="keyword">
while</span><span class="number"> 1</span><span class="special">:</span><span class="identifier">
y</span><span class="special"> =</span><span class="identifier"> iter</span><span class="special">.</span><span class="identifier">next</span><span class="special">()</span><span class="comment"> # get each item
</span><span class="special"> ...</span><span class="comment"> # process y
</span><span class="keyword">except</span><span class="identifier"> StopIteration</span><span class="special">:</span><span class="keyword"> pass</span><span class="comment"> # iterator exhausted
</span></tt></pre>
<p>
Boost.Python provides some mechanisms to make C++ iterators play along
nicely as Python iterators. What we need to do is to produce
appropriate <tt class="computeroutput"><span class="identifier">__iter__</span></tt> function from C++ iterators that is compatible
with the Python iteration protocol. For example:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> get_iterator</span><span class="special"> =</span><span class="identifier"> iterator</span><span class="special">&lt;</span><span class="identifier">vector</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;</span><span class="special"> &gt;();</span><span class="identifier">
object</span><span class="identifier"> iter</span><span class="special"> =</span><span class="identifier"> get_iterator</span><span class="special">(</span><span class="identifier">v</span><span class="special">);</span><span class="identifier">
object</span><span class="identifier"> first</span><span class="special"> =</span><span class="identifier"> iter</span><span class="special">.</span><span class="identifier">next</span><span class="special">();</span></tt></pre>
<p>
Or for use in class_&lt;&gt;:</p>
<pre class="programlisting"><tt class="literal"><span class="special">.</span><span class="identifier">def</span><span class="special">(</span><span class="string">"__iter__"</span><span class="special">,</span><span class="identifier"> iterator</span><span class="special">&lt;</span><span class="identifier">vector</span><span class="special">&lt;</span><span class="keyword">int</span><span class="special">&gt;</span><span class="special"> &gt;())</span></tt></pre>
<p><span class="bold"><b>range</b></span></p>
<p>
We can create a Python savvy iterator using the range function:</p>
<div class="itemizedlist"><ul type="disc">
<li>
range(start, finish)
</li>
<li>
range&lt;Policies,Target&gt;(start, finish)
</li>
</ul></div>
<p>
Here, start/finish may be one of:</p>
<div class="itemizedlist"><ul type="disc">
<li>
member data pointers
</li>
<li>
member function pointers
</li>
<li>
adaptable function object (use Target parameter)
</li>
</ul></div>
<p><span class="bold"><b>iterator</b></span></p>
<div class="itemizedlist"><ul type="disc"><li>
iterator&lt;T, Policies&gt;()
</li></ul></div>
<p>
Given a container <tt class="literal">T</tt>, iterator is a shortcut that simply calls <tt class="literal">range</tt>
with &amp;T::begin, &amp;T::end.</p>
<p>
Let's put this into action... Here's an example from some hypothetical
bogon Particle accelerator code:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">f</span><span class="special"> =</span><span class="identifier"> Field</span><span class="special">()</span><span class="keyword">
for</span><span class="identifier"> x</span><span class="keyword"> in</span><span class="identifier"> f</span><span class="special">.</span><span class="identifier">pions</span><span class="special">:</span><span class="identifier">
smash</span><span class="special">(</span><span class="identifier">x</span><span class="special">)</span><span class="keyword">
for</span><span class="identifier"> y</span><span class="keyword"> in</span><span class="identifier"> f</span><span class="special">.</span><span class="identifier">bogons</span><span class="special">:</span><span class="identifier">
count</span><span class="special">(</span><span class="identifier">y</span><span class="special">)</span></tt></pre>
<p>
Now, our C++ Wrapper:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">class_</span><span class="special">&lt;</span><span class="identifier">F</span><span class="special">&gt;(</span><span class="string">"Field"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">property</span><span class="special">(</span><span class="string">"pions"</span><span class="special">,</span><span class="identifier"> range</span><span class="special">(&amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">p_begin</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">p_end</span><span class="special">))</span><span class="special">
.</span><span class="identifier">property</span><span class="special">(</span><span class="string">"bogons"</span><span class="special">,</span><span class="identifier"> range</span><span class="special">(&amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">b_begin</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">F</span><span class="special">::</span><span class="identifier">b_end</span><span class="special">));</span></tt></pre>
</div>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.object"></a> Object Interface</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="object.html#python.basic_interface">Basic Interface</a></span></dt>
<dt><span class="section"><a href="object.html#python.derived_object_types">Derived Object types</a></span></dt>
<dt><span class="section"><a href="object.html#python.extracting_c___objects">Extracting C++ objects</a></span></dt>
<dt><span class="section"><a href="object.html#python.enums">Enums</a></span></dt>
</dl></div>
<p>
Python is dynamically typed, unlike C++ which is statically typed. Python
variables may hold an integer, a float, list, dict, tuple, str, long etc.,
among other things. In the viewpoint of Boost.Python and C++, these
Pythonic variables are just instances of class <tt class="literal">object</tt>. We shall see in
this chapter how to deal with Python objects.</p>
<p>
As mentioned, one of the goals of Boost.Python is to provide a
bidirectional mapping between C++ and Python while maintaining the Python
feel. Boost.Python C++ <tt class="literal">object</tt>s are as close as possible to Python. This
should minimize the learning curve significantly.</p>
<p><span class="inlinemediaobject"><img src="../images/python.png"></span></p>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.basic_interface"></a>Basic Interface</h3></div></div></div>
<p>
Class <tt class="literal">object</tt> wraps <tt class="literal">PyObject*</tt>. All the intricacies of dealing with
<tt class="literal">PyObject</tt>s such as managing reference counting are handled by the
<tt class="literal">object</tt> class. C++ object interoperability is seamless. Boost.Python C++
<tt class="literal">object</tt>s can in fact be explicitly constructed from any C++ object.</p>
<p>
To illustrate, this Python code snippet:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">def</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> y</span><span class="special">):</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">y</span><span class="special"> ==</span><span class="string"> 'foo'</span><span class="special">):</span><span class="identifier">
x</span><span class="special">[</span><span class="number">3</span><span class="special">:</span><span class="number">7</span><span class="special">]</span><span class="special"> =</span><span class="string"> 'bar'</span><span class="keyword">
else</span><span class="special">:</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">items</span><span class="special"> +=</span><span class="identifier"> y</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="identifier"> x</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> x</span><span class="keyword">
def</span><span class="identifier"> getfunc</span><span class="special">():</span><span class="keyword">
return</span><span class="identifier"> f</span><span class="special">;</span></tt></pre>
<p>
Can be rewritten in C++ using Boost.Python facilities this way:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">object</span><span class="identifier"> x</span><span class="special">,</span><span class="identifier"> object</span><span class="identifier"> y</span><span class="special">)</span><span class="special"> {</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">y</span><span class="special"> ==</span><span class="string"> "foo"</span><span class="special">)</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">slice</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="number">7</span><span class="special">)</span><span class="special"> =</span><span class="string"> "bar"</span><span class="special">;</span><span class="keyword">
else</span><span class="identifier">
x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"items"</span><span class="special">)</span><span class="special"> +=</span><span class="identifier"> y</span><span class="special">(</span><span class="number">3</span><span class="special">,</span><span class="identifier"> x</span><span class="special">);</span><span class="keyword">
return</span><span class="identifier"> x</span><span class="special">;</span><span class="special">
}</span><span class="identifier">
object</span><span class="identifier"> getfunc</span><span class="special">()</span><span class="special"> {</span><span class="keyword">
return</span><span class="identifier"> object</span><span class="special">(</span><span class="identifier">f</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
Apart from cosmetic differences due to the fact that we are writing the
code in C++, the look and feel should be immediately apparent to the Python
coder.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.derived_object_types"></a>Derived Object types</h3></div></div></div>
<p>
Boost.Python comes with a set of derived <tt class="literal">object</tt> types corresponding to
that of Python's:</p>
<div class="itemizedlist"><ul type="disc">
<li>
list
</li>
<li>
dict
</li>
<li>
tuple
</li>
<li>
str
</li>
<li>
long_
</li>
<li>
enum
</li>
</ul></div>
<p>
These derived <tt class="literal">object</tt> types act like real Python types. For instance:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">str</span><span class="special">(</span><span class="number">1</span><span class="special">)</span><span class="special"> ==&gt;</span><span class="string"> "1"</span></tt></pre>
<p>
Wherever appropriate, a particular derived <tt class="literal">object</tt> has corresponding
Python type's methods. For instance, <tt class="literal">dict</tt> has a <tt class="literal">keys()</tt> method:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">d</span><span class="special">.</span><span class="identifier">keys</span><span class="special">()</span></tt></pre>
<p><tt class="literal">make_tuple</tt> is provided for declaring <span class="emphasis"><em>tuple literals</em></span>. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">make_tuple</span><span class="special">(</span><span class="number">123</span><span class="special">,</span><span class="char"> 'D'</span><span class="special">,</span><span class="string"> "Hello, World"</span><span class="special">,</span><span class="number"> 0.0</span><span class="special">);</span></tt></pre>
<p>
In C++, when Boost.Python <tt class="literal">object</tt>s are used as arguments to functions,
subtype matching is required. For example, when a function <tt class="literal">f</tt>, as
declared below, is wrapped, it will only accept instances of Python's
<tt class="literal">str</tt> type and subtypes.</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> f</span><span class="special">(</span><span class="identifier">str</span><span class="identifier"> name</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
object</span><span class="identifier"> n2</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"upper"</span><span class="special">)();</span><span class="comment"> // NAME = name.upper()
</span><span class="identifier"> str</span><span class="identifier"> NAME</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">upper</span><span class="special">();</span><span class="comment"> // better
</span><span class="identifier"> object</span><span class="identifier"> msg</span><span class="special"> =</span><span class="string"> "%s is bigger than %s"</span><span class="special"> %</span><span class="identifier"> make_tuple</span><span class="special">(</span><span class="identifier">NAME</span><span class="special">,</span><span class="identifier">name</span><span class="special">);</span><span class="special">
}</span></tt></pre>
<p>
In finer detail:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">str</span><span class="identifier"> NAME</span><span class="special"> =</span><span class="identifier"> name</span><span class="special">.</span><span class="identifier">upper</span><span class="special">();</span></tt></pre>
<p>
Illustrates that we provide versions of the str type's methods as C++
member functions.</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> msg</span><span class="special"> =</span><span class="string"> "%s is bigger than %s"</span><span class="special"> %</span><span class="identifier"> make_tuple</span><span class="special">(</span><span class="identifier">NAME</span><span class="special">,</span><span class="identifier">name</span><span class="special">);</span></tt></pre>
<p>
Demonstrates that you can write the C++ equivalent of <tt class="literal">"format" % x,y,z</tt>
in Python, which is useful since there's no easy way to do that in std C++.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/alert.png"></span><span class="bold"><b>Beware</b></span> the common pitfall of forgetting that the constructors
of most of Python's mutable types make copies, just as in Python.
</td></tr></tbody>
</table></div>
<p>
Python:
</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> d</span><span class="special"> =</span><span class="identifier"> dict</span><span class="special">(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">__dict__</span><span class="special">)</span><span class="comment"> # copies x.__dict__
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> d</span><span class="special">[</span><span class="string">'whatever'</span><span class="special">]</span><span class="comment"> # modifies the copy
</span></tt></pre>
<p>
C++:
</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">dict</span><span class="identifier"> d</span><span class="special">(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">));</span><span class="comment"> // copies x.__dict__
</span><span class="identifier">d</span><span class="special">[</span><span class="char">'whatever'</span><span class="special">]</span><span class="special"> =</span><span class="number"> 3</span><span class="special">;</span><span class="comment"> // modifies the copy
</span></tt></pre>
<a name="derived_object_types.class__lt_t_gt__as_objects"></a><h2>
<a name="id454735"></a>class_&lt;T&gt; as objects</h2>
<p>
Due to the dynamic nature of Boost.Python objects, any <tt class="literal">class_&lt;T&gt;</tt> may
also be one of these types! The following code snippet wraps the class
(type) object.</p>
<p>
We can use this to create wrapped instances. Example:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">object</span><span class="identifier"> vec345</span><span class="special"> =</span><span class="special"> (</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&gt;(</span><span class="string">"Vec2"</span><span class="special">,</span><span class="identifier"> init</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">,</span><span class="keyword"> double</span><span class="special">&gt;())</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"length"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Point</span><span class="special">::</span><span class="identifier">length</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def_readonly</span><span class="special">(</span><span class="string">"angle"</span><span class="special">,</span><span class="special"> &amp;</span><span class="identifier">Point</span><span class="special">::</span><span class="identifier">angle</span><span class="special">)</span><span class="special">
)(</span><span class="number">3.0</span><span class="special">,</span><span class="number"> 4.0</span><span class="special">);</span><span class="identifier">
assert</span><span class="special">(</span><span class="identifier">vec345</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">)</span><span class="special"> ==</span><span class="number"> 5.0</span><span class="special">);</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.extracting_c___objects"></a>Extracting C++ objects</h3></div></div></div>
<p>
At some point, we will need to get C++ values out of object instances. This
can be achieved with the <tt class="literal">extract&lt;T&gt;</tt> function. Consider the following:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">double</span><span class="identifier"> x</span><span class="special"> =</span><span class="identifier"> o</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">);</span><span class="comment"> // compile error
</span></tt></pre>
<p>
In the code above, we got a compiler error because Boost.Python
<tt class="literal">object</tt> can't be implicitly converted to <tt class="literal">double</tt>s. Instead, what
we wanted to do above can be achieved by writing:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">double</span><span class="identifier"> l</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="keyword">double</span><span class="special">&gt;(</span><span class="identifier">o</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"length"</span><span class="special">));</span><span class="identifier">
Vec2</span><span class="special">&amp;</span><span class="identifier"> v</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&amp;&gt;(</span><span class="identifier">o</span><span class="special">);</span><span class="identifier">
assert</span><span class="special">(</span><span class="identifier">l</span><span class="special"> ==</span><span class="identifier"> v</span><span class="special">.</span><span class="identifier">length</span><span class="special">());</span></tt></pre>
<p>
The first line attempts to extract the "length" attribute of the Boost.Python
<tt class="literal">object</tt>. The second line attempts to <span class="emphasis"><em>extract</em></span> the <tt class="literal">Vec2</tt> object from held
by the Boost.Python <tt class="literal">object</tt>.</p>
<p>
Take note that we said "attempt to" above. What if the Boost.Python <tt class="literal">object</tt>
does not really hold a <tt class="literal">Vec2</tt> type? This is certainly a possibility considering
the dynamic nature of Python <tt class="literal">object</tt>s. To be on the safe side, if the C++ type
can't be extracted, an appropriate exception is thrown. To avoid an exception,
we need to test for extractibility:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">extract</span><span class="special">&lt;</span><span class="identifier">Vec2</span><span class="special">&amp;&gt;</span><span class="identifier"> x</span><span class="special">(</span><span class="identifier">o</span><span class="special">);</span><span class="keyword">
if</span><span class="special"> (</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">check</span><span class="special">())</span><span class="special"> {</span><span class="identifier">
Vec2</span><span class="special">&amp;</span><span class="identifier"> v</span><span class="special"> =</span><span class="identifier"> x</span><span class="special">();</span><span class="special"> ...</span></tt></pre>
<p><span class="inlinemediaobject"><img src="../images/tip.png"></span> The astute reader might have noticed that the <tt class="literal">extract&lt;T&gt;</tt>
facility in fact solves the mutable copying problem:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">dict</span><span class="identifier"> d</span><span class="special"> =</span><span class="identifier"> extract</span><span class="special">&lt;</span><span class="identifier">dict</span><span class="special">&gt;(</span><span class="identifier">x</span><span class="special">.</span><span class="identifier">attr</span><span class="special">(</span><span class="string">"__dict__"</span><span class="special">));</span><span class="identifier">
d</span><span class="special">[</span><span class="char">'whatever'</span><span class="special">]</span><span class="special"> =</span><span class="number"> 3</span><span class="special">;</span>          #<span class="identifier"> modifies</span><span class="identifier"> x</span><span class="special">.</span><span class="identifier">__dict__</span><span class="special"> !</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.enums"></a>Enums</h3></div></div></div>
<p>
Boost.Python has a nifty facility to capture and wrap C++ enums. While
Python has no <tt class="literal">enum</tt> type, we'll often want to expose our C++ enums to
Python as an <tt class="literal">int</tt>. Boost.Python's enum facility makes this easy while
taking care of the proper conversions from Python's dynamic typing to C++'s
strong static typing (in C++, ints cannot be implicitly converted to
enums). To illustrate, given a C++ enum:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">enum</span><span class="identifier"> choice</span><span class="special"> {</span><span class="identifier"> red</span><span class="special">,</span><span class="identifier"> blue</span><span class="special"> };</span></tt></pre>
<p>
the construct:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">enum_</span><span class="special">&lt;</span><span class="identifier">choice</span><span class="special">&gt;(</span><span class="string">"choice"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"red"</span><span class="special">,</span><span class="identifier"> red</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"blue"</span><span class="special">,</span><span class="identifier"> blue</span><span class="special">)</span><span class="special">
;</span></tt></pre>
<p>
can be used to expose to Python. The new enum type is created in the
current <tt class="literal">scope()</tt>, which is usually the current module. The snippet above
creates a Python class derived from Python's <tt class="literal">int</tt> type which is
associated with the C++ type passed as its first parameter.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span><span class="bold"><b>what is a scope?</b></span><br><br>
The scope is a class that has an
associated global Python object which controls the Python namespace in
which new extension classes and wrapped functions will be defined as
attributes. Details can be found <a href="../../../../v2/scope.html" target="_top">here</a>.</td></tr></tbody>
</table></div>
<p>
You can access those values in Python as</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="identifier"> my_module</span><span class="special">.</span><span class="identifier">choice</span><span class="special">.</span><span class="identifier">red</span><span class="identifier">
my_module</span><span class="special">.</span><span class="identifier">choice</span><span class="special">.</span><span class="identifier">red</span></tt></pre>
<p>
where my_module is the module where the enum is declared. You can also
create a new scope around a class:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="identifier">scope</span><span class="identifier"> in_X</span><span class="special"> =</span><span class="identifier"> class_</span><span class="special">&lt;</span><span class="identifier">X</span><span class="special">&gt;(</span><span class="string">"X"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="special"> ...</span><span class="special"> )</span><span class="special">
.</span><span class="identifier">def</span><span class="special">(</span><span class="special"> ...</span><span class="special"> )</span><span class="special">
;</span><span class="comment">
// Expose X::nested as X.nested
</span><span class="identifier">enum_</span><span class="special">&lt;</span><span class="identifier">X</span><span class="special">::</span><span class="identifier">nested</span><span class="special">&gt;(</span><span class="string">"nested"</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"red"</span><span class="special">,</span><span class="identifier"> red</span><span class="special">)</span><span class="special">
.</span><span class="identifier">value</span><span class="special">(</span><span class="string">"blue"</span><span class="special">,</span><span class="identifier"> blue</span><span class="special">)</span><span class="special">
;</span></tt></pre>
</div>
</div>
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<div class="section" lang="en">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="python.techniques"></a> General Techniques</h2></div></div></div>
<div class="toc"><dl>
<dt><span class="section"><a href="techniques.html#python.creating_packages">Creating Packages</a></span></dt>
<dt><span class="section"><a href="techniques.html#python.extending_wrapped_objects_in_python">Extending Wrapped Objects in Python</a></span></dt>
<dt><span class="section"><a href="techniques.html#python.reducing_compiling_time">Reducing Compiling Time</a></span></dt>
</dl></div>
<p>
Here are presented some useful techniques that you can use while wrapping code with Boost.Python.</p>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.creating_packages"></a>Creating Packages</h3></div></div></div>
<p>
A Python package is a collection of modules that provide to the user a certain
functionality. If you're not familiar on how to create packages, a good
introduction to them is provided in the
<a href="http://www.python.org/doc/current/tut/node8.html" target="_top">Python Tutorial</a>.</p>
<p>
But we are wrapping C++ code, using Boost.Python. How can we provide a nice
package interface to our users? To better explain some concepts, let's work
with an example.</p>
<p>
We have a C++ library that works with sounds: reading and writing various
formats, applying filters to the sound data, etc. It is named (conveniently)
<tt class="literal">sounds</tt>. Our library already has a neat C++ namespace hierarchy, like so:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">sounds</span><span class="special">::</span><span class="identifier">core</span><span class="identifier">
sounds</span><span class="special">::</span><span class="identifier">io</span><span class="identifier">
sounds</span><span class="special">::</span><span class="identifier">filters</span></tt></pre>
<p>
We would like to present this same hierarchy to the Python user, allowing him
to write code like this:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="identifier">
sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(...)</span> #<span class="identifier"> echo</span><span class="identifier"> is</span><span class="identifier"> a</span><span class="identifier"> C</span><span class="special">++</span><span class="identifier"> function</span></tt></pre>
<p>
The first step is to write the wrapping code. We have to export each module
separately with Boost.Python, like this:</p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file core.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">core</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::core namespace */</span><span class="special">
...</span><span class="special">
}</span><span class="comment">
/* file io.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">io</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::io namespace */</span><span class="special">
...</span><span class="special">
}</span><span class="comment">
/* file filters.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">filters</span><span class="special">)</span><span class="special">
{</span><span class="comment">
/* export everything in the sounds::filters namespace */</span><span class="special">
...</span><span class="special">
}</span></tt></pre>
<p>
Compiling these files will generate the following Python extensions:
<tt class="literal">core.pyd</tt>, <tt class="literal">io.pyd</tt> and <tt class="literal">filters.pyd</tt>.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> The extension <tt class="literal">.pyd</tt> is used for python extension modules, which
are just shared libraries. Using the default for your system, like <tt class="literal">.so</tt> for
Unix and <tt class="literal">.dll</tt> for Windows, works just as well.</td></tr></tbody>
</table></div>
<p>
Now, we create this directory structure for our Python package:</p>
<pre class="programlisting"><tt class="literal">sounds/
__init__.py
core.pyd
filters.pyd
io.pyd
</tt></pre>
<p>
The file <tt class="literal">__init__.py</tt> is what tells Python that the directory <tt class="literal">sounds/</tt> is
actually a Python package. It can be a empty file, but can also perform some
magic, that will be shown later.</p>
<p>
Now our package is ready. All the user has to do is put <tt class="literal">sounds</tt> into his
<a href="http://www.python.org/doc/current/tut/node8.html#SECTION008110000000000000000" target="_top">PYTHONPATH</a>
and fire up the interpreter:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">io</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sound</span><span class="special"> =</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">io</span><span class="special">.</span><span class="identifier">open</span><span class="special">(</span><span class="string">'file.mp3'</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> new_sound</span><span class="special"> =</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(</span><span class="identifier">sound</span><span class="special">,</span><span class="number"> 1.0</span><span class="special">)</span></tt></pre>
<p>
Nice heh?</p>
<p>
This is the simplest way to create hierarchies of packages, but it is not very
flexible. What if we want to add a <span class="emphasis"><em>pure</em></span> Python function to the filters
package, for instance, one that applies 3 filters in a sound object at once?
Sure, you can do this in C++ and export it, but why not do so in Python? You
don't have to recompile the extension modules, plus it will be easier to write
it.</p>
<p>
If we want this flexibility, we will have to complicate our package hierarchy a
little. First, we will have to change the name of the extension modules:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file core.cpp */</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_core</span><span class="special">)</span><span class="special">
{</span><span class="special">
...</span><span class="comment">
/* export everything in the sounds::core namespace */</span><span class="special">
}</span></tt></pre>
<p>
Note that we added an underscore to the module name. The filename will have to
be changed to <tt class="literal">_core.pyd</tt> as well, and we do the same to the other extension modules.
Now, we change our package hierarchy like so:</p>
<pre class="programlisting"><tt class="literal">sounds/
__init__.py
core/
__init__.py
_core.pyd
filters/
__init__.py
_filters.pyd
io/
__init__.py
_io.pyd
</tt></pre>
<p>
Note that we created a directory for each extension module, and added a
__init__.py to each one. But if we leave it that way, the user will have to
access the functions in the core module with this syntax:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">core</span><span class="special">.</span><span class="identifier">_core</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">core</span><span class="special">.</span><span class="identifier">_core</span><span class="special">.</span><span class="identifier">foo</span><span class="special">(...)</span></tt></pre>
<p>
which is not what we want. But here enters the <tt class="literal">__init__.py</tt> magic: everything
that is brought to the <tt class="literal">__init__.py</tt> namespace can be accessed directly by the
user. So, all we have to do is bring the entire namespace from <tt class="literal">_core.pyd</tt>
to <tt class="literal">core/__init__.py</tt>. So add this line of code to <tt class="literal">sounds<span class="emphasis"><em>core</em></span>__init__.py</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> _core</span><span class="keyword"> import</span><span class="special"> *</span></tt></pre>
<p>
We do the same for the other packages. Now the user accesses the functions and
classes in the extension modules like before:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(...)</span></tt></pre>
<p>
with the additional benefit that we can easily add pure Python functions to
any module, in a way that the user can't tell the difference between a C++
function and a Python function. Let's add a <span class="emphasis"><em>pure</em></span> Python function,
<tt class="literal">echo_noise</tt>, to the <tt class="literal">filters</tt> package. This function applies both the
<tt class="literal">echo</tt> and <tt class="literal">noise</tt> filters in sequence in the given <tt class="literal">sound</tt> object. We
create a file named <tt class="literal">sounds/filters/echo_noise.py</tt> and code our function:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">import</span><span class="identifier"> _filters</span><span class="keyword">
def</span><span class="identifier"> echo_noise</span><span class="special">(</span><span class="identifier">sound</span><span class="special">):</span><span class="identifier">
s</span><span class="special"> =</span><span class="identifier"> _filters</span><span class="special">.</span><span class="identifier">echo</span><span class="special">(</span><span class="identifier">sound</span><span class="special">)</span><span class="identifier">
s</span><span class="special"> =</span><span class="identifier"> _filters</span><span class="special">.</span><span class="identifier">noise</span><span class="special">(</span><span class="identifier">sound</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> s</span></tt></pre>
<p>
Next, we add this line to <tt class="literal">sounds<span class="emphasis"><em>filters</em></span>__init__.py</tt>:</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> echo_noise</span><span class="keyword"> import</span><span class="identifier"> echo_noise</span></tt></pre>
<p>
And that's it. The user now accesses this function like any other function
from the <tt class="literal">filters</tt> package:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> import</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> sounds</span><span class="special">.</span><span class="identifier">filters</span><span class="special">.</span><span class="identifier">echo_noise</span><span class="special">(...)</span></tt></pre>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.extending_wrapped_objects_in_python"></a>Extending Wrapped Objects in Python</h3></div></div></div>
<p>
Thanks to Python's flexibility, you can easily add new methods to a class,
even after it was already created:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> class</span><span class="identifier"> C</span><span class="special">(</span><span class="identifier">object</span><span class="special">):</span><span class="keyword"> pass</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="comment"> # a regular function
</span><span class="special">&gt;&gt;&gt;</span><span class="keyword"> def</span><span class="identifier"> C_str</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword"> return</span><span class="string"> 'A C instance!'</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="comment"> # now we turn it in a member function
</span><span class="special">&gt;&gt;&gt;</span><span class="identifier"> C</span><span class="special">.</span><span class="identifier">__str__</span><span class="special"> =</span><span class="identifier"> C_str</span><span class="special">
&gt;&gt;&gt;</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> c</span><span class="special"> =</span><span class="identifier"> C</span><span class="special">()</span><span class="special">
&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> c</span><span class="identifier">
A</span><span class="identifier"> C</span><span class="identifier"> instance</span><span class="special">!</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> C_str</span><span class="special">(</span><span class="identifier">c</span><span class="special">)</span><span class="identifier">
A</span><span class="identifier"> C</span><span class="identifier"> instance</span><span class="special">!</span></tt></pre>
<p>
Yes, Python rox. <span class="inlinemediaobject"><img src="../images/smiley.png"></span></p>
<p>
We can do the same with classes that were wrapped with Boost.Python. Suppose
we have a class <tt class="literal">point</tt> in C++:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">class</span><span class="identifier"> point</span><span class="special"> {...};</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
If we are using the technique from the previous session,
<a href="techniques.html#python.creating_packages" title="Creating Packages">Creating Packages</a>, we can code directly
into <tt class="literal">geom/__init__.py</tt>:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="keyword">from</span><span class="identifier"> _geom</span><span class="keyword"> import</span><span class="special"> *</span><span class="comment">
# a regular function
</span><span class="keyword">def</span><span class="identifier"> point_str</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
return</span><span class="identifier"> str</span><span class="special">((</span><span class="identifier">self</span><span class="special">.</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> self</span><span class="special">.</span><span class="identifier">y</span><span class="special">))</span><span class="comment">
# now we turn it into a member function
</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">__str__</span><span class="special"> =</span><span class="identifier"> point_str</span></tt></pre>
<p><span class="bold"><b>All</b></span> point instances created from C++ will also have this member function!
This technique has several advantages:</p>
<div class="itemizedlist"><ul type="disc">
<li>
Cut down compile times to zero for these additional functions
</li>
<li>
Reduce the memory footprint to virtually zero
</li>
<li>
Minimize the need to recompile
</li>
<li>
Rapid prototyping (you can move the code to C++ if required without changing the interface)
</li>
</ul></div>
<p>
You can even add a little syntactic sugar with the use of metaclasses. Let's
create a special metaclass that "injects" methods in other classes.</p>
<pre class="programlisting"><tt class="literal"><span class="comment"># The one Boost.Python uses for all wrapped classes.
# You can use here any class exported by Boost instead of "point"
</span><span class="identifier">BoostPythonMetaclass</span><span class="special"> =</span><span class="identifier"> point</span><span class="special">.</span><span class="identifier">__class__</span><span class="keyword">
class</span><span class="identifier"> injector</span><span class="special">(</span><span class="identifier">object</span><span class="special">):</span><span class="keyword">
class</span><span class="identifier"> __metaclass__</span><span class="special">(</span><span class="identifier">BoostPythonMetaclass</span><span class="special">):</span><span class="keyword">
def</span><span class="identifier"> __init__</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> name</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">,</span><span class="identifier"> dict</span><span class="special">):</span><span class="keyword">
for</span><span class="identifier"> b</span><span class="keyword"> in</span><span class="identifier"> bases</span><span class="special">:</span><span class="keyword">
if</span><span class="identifier"> type</span><span class="special">(</span><span class="identifier">b</span><span class="special">)</span><span class="keyword"> not</span><span class="keyword"> in</span><span class="special"> (</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> type</span><span class="special">):</span><span class="keyword">
for</span><span class="identifier"> k</span><span class="special">,</span><span class="identifier">v</span><span class="keyword"> in</span><span class="identifier"> dict</span><span class="special">.</span><span class="identifier">items</span><span class="special">():</span><span class="identifier">
setattr</span><span class="special">(</span><span class="identifier">b</span><span class="special">,</span><span class="identifier">k</span><span class="special">,</span><span class="identifier">v</span><span class="special">)</span><span class="keyword">
return</span><span class="identifier"> type</span><span class="special">.</span><span class="identifier">__init__</span><span class="special">(</span><span class="identifier">self</span><span class="special">,</span><span class="identifier"> name</span><span class="special">,</span><span class="identifier"> bases</span><span class="special">,</span><span class="identifier"> dict</span><span class="special">)</span><span class="comment">
# inject some methods in the point foo
</span><span class="keyword">class</span><span class="identifier"> more_point</span><span class="special">(</span><span class="identifier">injector</span><span class="special">,</span><span class="identifier"> point</span><span class="special">):</span><span class="keyword">
def</span><span class="identifier"> __repr__</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
return</span><span class="string"> 'Point(x=%s, y=%s)'</span><span class="special"> %</span><span class="special"> (</span><span class="identifier">self</span><span class="special">.</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> self</span><span class="special">.</span><span class="identifier">y</span><span class="special">)</span><span class="keyword">
def</span><span class="identifier"> foo</span><span class="special">(</span><span class="identifier">self</span><span class="special">):</span><span class="keyword">
print</span><span class="string"> 'foo!'</span></tt></pre>
<p>
Now let's see how it got:</p>
<pre class="programlisting"><tt class="literal"><span class="special">&gt;&gt;&gt;</span><span class="keyword"> print</span><span class="identifier"> point</span><span class="special">()</span><span class="identifier">
Point</span><span class="special">(</span><span class="identifier">x</span><span class="special">=</span><span class="number">10</span><span class="special">,</span><span class="identifier"> y</span><span class="special">=</span><span class="number">10</span><span class="special">)</span><span class="special">
&gt;&gt;&gt;</span><span class="identifier"> point</span><span class="special">().</span><span class="identifier">foo</span><span class="special">()</span><span class="identifier">
foo</span><span class="special">!</span></tt></pre>
<p>
Another useful idea is to replace constructors with factory functions:</p>
<pre class="programlisting"><tt class="literal"><span class="identifier">_point</span><span class="special"> =</span><span class="identifier"> point</span><span class="keyword">
def</span><span class="identifier"> point</span><span class="special">(</span><span class="identifier">x</span><span class="special">=</span><span class="number">0</span><span class="special">,</span><span class="identifier"> y</span><span class="special">=</span><span class="number">0</span><span class="special">):</span><span class="keyword">
return</span><span class="identifier"> _point</span><span class="special">(</span><span class="identifier">x</span><span class="special">,</span><span class="identifier"> y</span><span class="special">)</span></tt></pre>
<p>
In this simple case there is not much gained, but for constructurs with
many overloads and/or arguments this is often a great simplification, again
with virtually zero memory footprint and zero compile-time overhead for
the keyword support.</p>
</div>
<div class="section" lang="en">
<div class="titlepage"><div><div><h3 class="title">
<a name="python.reducing_compiling_time"></a>Reducing Compiling Time</h3></div></div></div>
<p>
If you have ever exported a lot of classes, you know that it takes quite a good
time to compile the Boost.Python wrappers. Plus the memory consumption can
easily become too high. If this is causing you problems, you can split the
class_ definitions in multiple files:</p>
<p></p>
<pre class="programlisting"><tt class="literal"><span class="comment">/* file point.cpp */</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
void</span><span class="identifier"> export_point</span><span class="special">()</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="special">
}</span><span class="comment">
/* file triangle.cpp */</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">triangle</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="keyword">
void</span><span class="identifier"> export_triangle</span><span class="special">()</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">triangle</span><span class="special">&gt;(</span><span class="string">"triangle"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
Now you create a file <tt class="literal">main.cpp</tt>, which contains the <tt class="literal">BOOST_PYTHON_MODULE</tt>
macro, and call the various export functions inside it.</p>
<pre class="programlisting"><tt class="literal"><span class="keyword">void</span><span class="identifier"> export_point</span><span class="special">();</span><span class="keyword">
void</span><span class="identifier"> export_triangle</span><span class="special">();</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
export_point</span><span class="special">();</span><span class="identifier">
export_triangle</span><span class="special">();</span><span class="special">
}</span></tt></pre>
<p>
Compiling and linking together all this files produces the same result as the
usual approach:</p>
<pre class="programlisting"><tt class="literal"><span class="preprocessor">#include</span><span class="special"> &lt;</span><span class="identifier">boost</span><span class="special">/</span><span class="identifier">python</span><span class="special">.</span><span class="identifier">hpp</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">point</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="preprocessor">
#include</span><span class="special"> &lt;</span><span class="identifier">triangle</span><span class="special">.</span><span class="identifier">h</span><span class="special">&gt;</span><span class="identifier">
BOOST_PYTHON_MODULE</span><span class="special">(</span><span class="identifier">_geom</span><span class="special">)</span><span class="special">
{</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">point</span><span class="special">&gt;(</span><span class="string">"point"</span><span class="special">)...;</span><span class="identifier">
class_</span><span class="special">&lt;</span><span class="identifier">triangle</span><span class="special">&gt;(</span><span class="string">"triangle"</span><span class="special">)...;</span><span class="special">
}</span></tt></pre>
<p>
but the memory is kept under control.</p>
<p>
This method is recommended too if you are developing the C++ library and
exporting it to Python at the same time: changes in a class will only demand
the compilation of a single cpp, instead of the entire wrapper code.</p>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> If you're exporting your classes with <a href="../../../../../pyste/index.html" target="_top">Pyste</a>,
take a look at the <tt class="literal">--multiple</tt> option, that generates the wrappers in
various files as demonstrated here.</td></tr></tbody>
</table></div>
<div class="informaltable"><table class="table">
<colgroup><col></colgroup>
<tbody><tr><td class="blurb">
<span class="inlinemediaobject"><img src="../images/note.png"></span> This method is useful too if you are getting the error message
<span class="emphasis"><em>"fatal error C1204:Compiler limit:internal structure overflow"</em></span> when compiling
a large source file, as explained in the <a href="../../../../v2/faq.html#c1204" target="_top">FAQ</a>.</td></tr></tbody>
</table></div>
</div>
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><small>Copyright © 2002-2005 Joel de Guzman, David Abrahams</small></td>
</tr></table>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Inheritance</b></font>
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<p>
In the previous examples, we dealt with classes that are not polymorphic.
This is not often the case. Much of the time, we will be wrapping
polymorphic classes and class hierarchies related by inheritance. We will
often have to write Boost.Python wrappers for classes that are derived from
abstract base classes.</p>
<p>
Consider this trivial inheritance structure:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Base </span><span class=special>{ </span><span class=keyword>virtual </span><span class=special>~</span><span class=identifier>Base</span><span class=special>(); };
</span><span class=keyword>struct </span><span class=identifier>Derived </span><span class=special>: </span><span class=identifier>Base </span><span class=special>{};
</span></pre></code>
<p>
And a set of C++ functions operating on <tt>Base</tt> and <tt>Derived</tt> object
instances:</p>
<code><pre>
<span class=keyword>void </span><span class=identifier>b</span><span class=special>(</span><span class=identifier>Base</span><span class=special>*);
</span><span class=keyword>void </span><span class=identifier>d</span><span class=special>(</span><span class=identifier>Derived</span><span class=special>*);
</span><span class=identifier>Base</span><span class=special>* </span><span class=identifier>factory</span><span class=special>() { </span><span class=keyword>return </span><span class=keyword>new </span><span class=identifier>Derived</span><span class=special>; }
</span></pre></code>
<p>
We've seen how we can wrap the base class <tt>Base</tt>:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>)
/*...*/
;
</span></pre></code>
<p>
Now we can inform Boost.Python of the inheritance relationship between
<tt>Derived</tt> and its base class <tt>Base</tt>. Thus:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Derived</span><span class=special>, </span><span class=identifier>bases</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>&gt; &gt;(</span><span class=string>&quot;Derived&quot;</span><span class=special>)
/*...*/
;
</span></pre></code>
<p>
Doing so, we get some things for free:</p>
<ol><li>Derived automatically inherits all of Base's Python methods (wrapped C++ member functions)</li><li><b>If</b> Base is polymorphic, <tt>Derived</tt> objects which have been passed to Python via a pointer or reference to <tt>Base</tt> can be passed where a pointer or reference to <tt>Derived</tt> is expected.</li></ol><p>
Now, we shall expose the C++ free functions <tt>b</tt> and <tt>d</tt> and <tt>factory</tt>:</p>
<code><pre>
<span class=identifier>def</span><span class=special>(</span><span class=string>&quot;b&quot;</span><span class=special>, </span><span class=identifier>b</span><span class=special>);
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;d&quot;</span><span class=special>, </span><span class=identifier>d</span><span class=special>);
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;factory&quot;</span><span class=special>, </span><span class=identifier>factory</span><span class=special>);
</span></pre></code>
<p>
Note that free function <tt>factory</tt> is being used to generate new
instances of class <tt>Derived</tt>. In such cases, we use
<tt>return_value_policy&lt;manage_new_object&gt;</tt> to instruct Python to adopt
the pointer to <tt>Base</tt> and hold the instance in a new Python <tt>Base</tt>
object until the the Python object is destroyed. We shall see more of
Boost.Python <a href="call_policies.html">
call policies</a> later.</p>
<code><pre>
<span class=comment>// Tell Python to take ownership of factory's result
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;factory&quot;</span><span class=special>, </span><span class=identifier>factory</span><span class=special>,
</span><span class=identifier>return_value_policy</span><span class=special>&lt;</span><span class=identifier>manage_new_object</span><span class=special>&gt;());
</span></pre></code>
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<p>
In C++, and STL in particular, we see iterators everywhere. Python also has
iterators, but these are two very different beasts.</p>
<p>
<b>C++ iterators:</b></p>
<ul><li>C++ has 5 type categories (random-access, bidirectional, forward, input, output)</li><li>There are 2 Operation categories: reposition, access</li><li>A pair of iterators is needed to represent a (first/last) range.</li></ul><p>
<b>Python Iterators:</b></p>
<ul><li>1 category (forward)</li><li>1 operation category (next())</li><li>Raises StopIteration exception at end</li></ul><p>
The typical Python iteration protocol: <tt><b>for y in x...</b></tt> is as follows:</p>
<code><pre>
<span class=identifier>iter </span><span class=special>= </span><span class=identifier>x</span><span class=special>.</span><span class=identifier>__iter__</span><span class=special>() </span>##<span class=identifier>get </span><span class=identifier>iterator
</span><span class=keyword>try</span><span class=special>:
</span><span class=keyword>while </span><span class=number>1</span><span class=special>:
</span><span class=identifier>y </span><span class=special>= </span><span class=identifier>iter</span><span class=special>.</span><span class=identifier>next</span><span class=special>() </span>##<span class=identifier>get </span><span class=identifier>each </span><span class=identifier>item
</span><span class=special>... </span>##<span class=identifier>process </span><span class=identifier>y
</span><span class=identifier>except </span><span class=identifier>StopIteration</span><span class=special>: </span><span class=identifier>pass </span>##<span class=identifier>iterator </span><span class=identifier>exhausted
</span></pre></code>
<p>
Boost.Python provides some mechanisms to make C++ iterators play along
nicely as Python iterators. What we need to do is to produce
appropriate __iter__ function from C++ iterators that is compatible
with the Python iteration protocol. For example:</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>get_iterator </span><span class=special>= </span><span class=identifier>iterator</span><span class=special>&lt;</span><span class=identifier>vector</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt; &gt;();
</span><span class=identifier>object </span><span class=identifier>iter </span><span class=special>= </span><span class=identifier>get_iterator</span><span class=special>(</span><span class=identifier>v</span><span class=special>);
</span><span class=identifier>object </span><span class=identifier>first </span><span class=special>= </span><span class=identifier>iter</span><span class=special>.</span><span class=identifier>next</span><span class=special>();
</span></pre></code>
<p>
Or for use in class_&lt;&gt;:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;__iter__&quot;</span><span class=special>, </span><span class=identifier>iterator</span><span class=special>&lt;</span><span class=identifier>vector</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt; &gt;())
</span></pre></code>
<p>
<b>range</b></p>
<p>
We can create a Python savvy iterator using the range function:</p>
<ul><li>range(start, finish)</li><li>range&lt;Policies,Target&gt;(start, finish)</li></ul><p>
Here, start/finish may be one of:</p>
<ul><li>member data pointers</li><li>member function pointers</li><li>adaptable function object (use Target parameter)</li></ul><p>
<b>iterator</b></p>
<ul><li>iterator&lt;T, Policies&gt;()</li></ul><p>
Given a container <tt>T</tt>, iterator is a shortcut that simply calls <tt>range</tt>
with &amp;T::begin, &amp;T::end.</p>
<p>
Let's put this into action... Here's an example from some hypothetical
bogon Particle accelerator code:</p>
<code><pre>
<span class=identifier>f </span><span class=special>= </span><span class=identifier>Field</span><span class=special>()
</span><span class=keyword>for </span><span class=identifier>x </span><span class=identifier>in </span><span class=identifier>f</span><span class=special>.</span><span class=identifier>pions</span><span class=special>:
</span><span class=identifier>smash</span><span class=special>(</span><span class=identifier>x</span><span class=special>)
</span><span class=keyword>for </span><span class=identifier>y </span><span class=identifier>in </span><span class=identifier>f</span><span class=special>.</span><span class=identifier>bogons</span><span class=special>:
</span><span class=identifier>count</span><span class=special>(</span><span class=identifier>y</span><span class=special>)
</span></pre></code>
<p>
Now, our C++ Wrapper:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>F</span><span class=special>&gt;(</span><span class=string>&quot;Field&quot;</span><span class=special>)
.</span><span class=identifier>property</span><span class=special>(</span><span class=string>&quot;pions&quot;</span><span class=special>, </span><span class=identifier>range</span><span class=special>(&amp;</span><span class=identifier>F</span><span class=special>::</span><span class=identifier>p_begin</span><span class=special>, &amp;</span><span class=identifier>F</span><span class=special>::</span><span class=identifier>p_end</span><span class=special>))
.</span><span class=identifier>property</span><span class=special>(</span><span class=string>&quot;bogons&quot;</span><span class=special>, </span><span class=identifier>range</span><span class=special>(&amp;</span><span class=identifier>F</span><span class=special>::</span><span class=identifier>b_begin</span><span class=special>, &amp;</span><span class=identifier>F</span><span class=special>::</span><span class=identifier>b_end</span><span class=special>));
</span></pre></code>
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<p>
Python is dynamically typed, unlike C++ which is statically typed. Python
variables may hold an integer, a float, list, dict, tuple, str, long etc.,
among other things. In the viewpoint of Boost.Python and C++, these
Pythonic variables are just instances of class <tt>object</tt>. We shall see in
this chapter how to deal with Python objects.</p>
<p>
As mentioned, one of the goals of Boost.Python is to provide a
bidirectional mapping between C++ and Python while maintaining the Python
feel. Boost.Python C++ <tt>object</tt>s are as close as possible to Python. This
should minimize the learning curve significantly.</p>
<p>
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<p>
The following illustrates a scheme for manually wrapping an overloaded
member functions. Of course, the same technique can be applied to wrapping
overloaded non-member functions.</p>
<p>
We have here our C++ class:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>X
</span><span class=special>{
</span><span class=keyword>bool </span><span class=identifier>f</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>)
{
</span><span class=keyword>return </span><span class=keyword>true</span><span class=special>;
}
</span><span class=keyword>bool </span><span class=identifier>f</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>double </span><span class=identifier>b</span><span class=special>)
{
</span><span class=keyword>return </span><span class=keyword>true</span><span class=special>;
}
</span><span class=keyword>bool </span><span class=identifier>f</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>double </span><span class=identifier>b</span><span class=special>, </span><span class=keyword>char </span><span class=identifier>c</span><span class=special>)
{
</span><span class=keyword>return </span><span class=keyword>true</span><span class=special>;
}
</span><span class=keyword>int </span><span class=identifier>f</span><span class=special>(</span><span class=keyword>int </span><span class=identifier>a</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>b</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>c</span><span class=special>)
{
</span><span class=keyword>return </span><span class=identifier>a </span><span class=special>+ </span><span class=identifier>b </span><span class=special>+ </span><span class=identifier>c</span><span class=special>;
};
};
</span></pre></code>
<p>
Class X has 4 overloaded functions. We shall start by introducing some
member function pointer variables:</p>
<code><pre>
<span class=keyword>bool </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx1</span><span class=special>)(</span><span class=keyword>int</span><span class=special>) = &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span><span class=keyword>bool </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx2</span><span class=special>)(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>double</span><span class=special>) = &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span><span class=keyword>bool </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx3</span><span class=special>)(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>double</span><span class=special>, </span><span class=keyword>char</span><span class=special>)= &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span><span class=keyword>int </span><span class=special>(</span><span class=identifier>X</span><span class=special>::*</span><span class=identifier>fx4</span><span class=special>)(</span><span class=keyword>int</span><span class=special>, </span><span class=keyword>int</span><span class=special>, </span><span class=keyword>int</span><span class=special>) = &amp;</span><span class=identifier>X</span><span class=special>::</span><span class=identifier>f</span><span class=special>;
</span></pre></code>
<p>
With these in hand, we can proceed to define and wrap this for Python:</p>
<code><pre>
<span class=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx1</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx2</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx3</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, </span><span class=identifier>fx4</span><span class=special>)
</span></pre></code>
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<p>
The Boost Python Library is a framework for interfacing Python and
C++. It allows you to quickly and seamlessly expose C++ classes
functions and objects to Python, and vice-versa, using no special
tools -- just your C++ compiler. It is designed to wrap C++ interfaces
non-intrusively, so that you should not have to change the C++ code at
all in order to wrap it, making Boost.Python ideal for exposing
3rd-party libraries to Python. The library's use of advanced
metaprogramming techniques simplifies its syntax for users, so that
wrapping code takes on the look of a kind of declarative interface
definition language (IDL).</p>
<a name="hello_world"></a><h2>Hello World</h2><p>
Following C/C++ tradition, let's start with the &quot;hello, world&quot;. A C++
Function:</p>
<code><pre>
<span class=keyword>char </span><span class=keyword>const</span><span class=special>* </span><span class=identifier>greet</span><span class=special>()
{
</span><span class=keyword>return </span><span class=string>&quot;hello, world&quot;</span><span class=special>;
}
</span></pre></code>
<p>
can be exposed to Python by writing a Boost.Python wrapper:</p>
<code><pre>
<span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=keyword>using </span><span class=keyword>namespace </span><span class=identifier>boost</span><span class=special>::</span><span class=identifier>python</span><span class=special>;
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>hello</span><span class=special>)
{
</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</span><span class=special>, </span><span class=identifier>greet</span><span class=special>);
}
</span></pre></code>
<p>
That's it. We're done. We can now build this as a shared library. The
resulting DLL is now visible to Python. Here's a sample Python session:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>import </span><span class=identifier>hello
</span><span class=special>&gt;&gt;&gt; </span><span class=identifier>print </span><span class=identifier>hello</span><span class=special>.</span><span class=identifier>greet</span><span class=special>()
</span><span class=identifier>hello</span><span class=special>, </span><span class=identifier>world
</span></pre></code>
<blockquote><p><i><b>Next stop... Building your Hello World module from start to finish...</b></i></p></blockquote><table border="0">
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<p>
If you have ever exported a lot of classes, you know that it takes quite a good
time to compile the Boost.Python wrappers. Plus the memory consumption can
easily become too high. If this is causing you problems, you can split the
class_ definitions in multiple files:</p>
<code><pre>
<span class=comment>/* file point.cpp */
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>point</span><span class=special>.</span><span class=identifier>h</span><span class=special>&gt;
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=keyword>void </span><span class=identifier>export_point</span><span class=special>()
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>point</span><span class=special>&gt;(</span><span class=string>&quot;point&quot;</span><span class=special>)...;
}
/* </span><span class=identifier>file </span><span class=identifier>triangle</span><span class=special>.</span><span class=identifier>cpp </span><span class=special>*/
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>triangle</span><span class=special>.</span><span class=identifier>h</span><span class=special>&gt;
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=keyword>void </span><span class=identifier>export_triangle</span><span class=special>()
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>triangle</span><span class=special>&gt;(</span><span class=string>&quot;triangle&quot;</span><span class=special>)...;
}
</span></pre></code>
<p>
Now you create a file <tt>main.cpp</tt>, which contains the <tt>BOOST_PYTHON_MODULE</tt>
macro, and call the various export functions inside it. </p>
<code><pre>
<span class=keyword>void </span><span class=identifier>export_point</span><span class=special>();
</span><span class=keyword>void </span><span class=identifier>export_triangle</span><span class=special>();
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>_geom</span><span class=special>)
{
</span><span class=identifier>export_point</span><span class=special>();
</span><span class=identifier>export_triangle</span><span class=special>();
}
</span></pre></code>
<p>
Compiling and linking together all this files produces the same result as the
usual approach:</p>
<code><pre>
<span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>boost</span><span class=special>/</span><span class=identifier>python</span><span class=special>.</span><span class=identifier>hpp</span><span class=special>&gt;
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>point</span><span class=special>.</span><span class=identifier>h</span><span class=special>&gt;
</span><span class=preprocessor>#include </span><span class=special>&lt;</span><span class=identifier>triangle</span><span class=special>.</span><span class=identifier>h</span><span class=special>&gt;
</span><span class=identifier>BOOST_PYTHON_MODULE</span><span class=special>(</span><span class=identifier>_geom</span><span class=special>)
{
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>point</span><span class=special>&gt;(</span><span class=string>&quot;point&quot;</span><span class=special>)...;
</span><span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>triangle</span><span class=special>&gt;(</span><span class=string>&quot;triangle&quot;</span><span class=special>)...;
}
</span></pre></code>
<p>
but the memory is kept under control. </p>
<p>
This method is recommended too if you are developing the C++ library and
exporting it to Python at the same time: changes in a class will only demand
the compilation of a single cpp, instead of the entire wrapper code.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/note.gif"></img> If you're exporting your classes with <a href="../../../pyste/index.html">
Pyste</a>,
take a look at the <tt>--multiple</tt> option, that generates the wrappers in
various files as demonstrated here. </td>
</tr>
</table>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/note.gif"></img> This method is useful too if you are getting the error message
<i>&quot;fatal error C1204:Compiler limit:internal structure overflow&quot;</i> when compiling
a large source file, as explained in the <a href="../../v2/faq.html#c1204">
FAQ</a>. </td>
</tr>
</table>
<table border="0">
<tr>
<td width="30"><a href="../index.html"><img src="theme/u_arr.gif" border="0"></a></td>
<td width="30"><a href="extending_wrapped_objects_in_python.html"><img src="theme/l_arr.gif" border="0"></a></td>
<td width="20"><img src="theme/r_arr_disabled.gif" border="0"></td>
</tr>
</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002-2003 David Abrahams<br>Copyright &copy; 2002-2003 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
is granted provided this copyright notice appears in all copies. This document
is provided &quot;as is&quot; without express or implied warranty, and with
no claim as to its suitability for any purpose. </font> </p>
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<html>
<head>
<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Using the interpreter</title>
<link rel="stylesheet" href="theme/style.css" type="text/css">
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<td><img src="theme/c%2B%2Bboost.gif">
</td>
<td width="85%">
<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Using the interpreter</b></font>
</td>
</tr>
</table>
<br>
<table border="0">
<tr>
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<p>
As you probably already know, objects in Python are reference-counted.
Naturally, the <tt>PyObject</tt>s of the Python/C API are also reference-counted.
There is a difference however. While the reference-counting is fully
automatic in Python, the Python/C API requires you to do it
<a href="http://www.python.org/doc/current/api/refcounts.html">
by hand</a>. This is
messy and especially hard to get right in the presence of C++ exceptions.
Fortunately Boost.Python provides the <a href="../../v2/handle.html">
handle</a> class
template to automate the process.</p>
<a name="reference_counting_handles"></a><h2>Reference-counting handles</h2><p>
There are two ways in which a function in the Python/C API can return a
<tt>PyObject*</tt>: as a <i>borrowed reference</i> or as a <i>new reference</i>. Which of
these a function uses, is listed in that function's documentation. The two
require slightely different approaches to reference-counting but both can
be 'handled' by Boost.Python.</p>
<p>
For a function returning a <i>borrowed reference</i> we'll have to tell the
<tt>handle</tt> that the <tt>PyObject*</tt> is borrowed with the aptly named
<a href="../../v2/handle.html#borrowed-spec">
borrowed</a> function. Two functions
returning borrowed references are <a href="http://www.python.org/doc/current/api/importing.html#l2h-125">
PyImport_AddModule</a> and <a href="http://www.python.org/doc/current/api/moduleObjects.html#l2h-594">
PyModule_GetDict</a>.
The former returns a reference to an already imported module, the latter
retrieves a module's namespace dictionary. Let's use them to retrieve the
namespace of the <tt>__main__</tt> module:</p>
<code><pre>
<span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>main_module</span><span class=special>(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyImport_AddModule</span><span class=special>(</span><span class=string>&quot;__main__&quot;</span><span class=special>) ));
</span><span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>main_namespace</span><span class=special>(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyModule_GetDict</span><span class=special>(</span><span class=identifier>main_module</span><span class=special>.</span><span class=identifier>get</span><span class=special>()) ));
</span></pre></code>
<p>
Because the Python/C API doesn't know anything about <tt>handle</tt>s, we used
the <a href="../../v2/handle.html#handle-spec-observers">
get</a> member function to
retrieve the <tt>PyObject*</tt> from which the <tt>handle</tt> was constructed.</p>
<p>
For a function returning a <i>new reference</i> we can just create a <tt>handle</tt>
out of the raw <tt>PyObject*</tt> without wrapping it in a call to borrowed. One
such function that returns a new reference is <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55">
PyRun_String</a> which we'll
discuss in the next section.</p>
<table width="80%" border="0" align="center">
<tr>
<td class="note_box">
<img src="theme/lens.gif"></img> <b>Handle is a class <i>template</i>, so why haven't we been using any template parameters?</b><br>
<br>
<tt>handle</tt> has a single template parameter specifying the type of the managed object. This type is <tt>PyObject</tt> 99% of the time, so the parameter was defaulted to <tt>PyObject</tt> for convenience. Therefore we can use the shorthand <tt>handle&lt;&gt;</tt> instead of the longer, but equivalent, <tt>handle&lt;PyObject&gt;</tt>.
</td>
</tr>
</table>
<a name="running_python_code"></a><h2>Running Python code</h2><p>
To run Python code from C++ there is a family of functions in the API
starting with the PyRun prefix. You can find the full list of these
functions <a href="http://www.python.org/doc/current/api/veryhigh.html">
here</a>. They
all work similarly so we will look at only one of them, namely:</p>
<code><pre>
<span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=keyword>char </span><span class=special>*</span><span class=identifier>str</span><span class=special>, </span><span class=keyword>int </span><span class=identifier>start</span><span class=special>, </span><span class=identifier>PyObject </span><span class=special>*</span><span class=identifier>globals</span><span class=special>, </span><span class=identifier>PyObject </span><span class=special>*</span><span class=identifier>locals</span><span class=special>)
</span></pre></code>
<p>
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55">
PyRun_String</a> takes the code to execute as a null-terminated (C-style)
string in its <tt>str</tt> parameter. The function returns a new reference to a
Python object. Which object is returned depends on the <tt>start</tt> paramater.</p>
<p>
The <tt>start</tt> parameter is the start symbol from the Python grammar to use
for interpreting the code. The possible values are:</p>
<table width="90%" border="0" align="center"> <tr>
<td class="table_title" colspan="6">
Start symbols </td>
</tr>
<tr><tr><td class="table_cells"><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58">
Py_eval_input</a></td><td class="table_cells">for interpreting isolated expressions</td></tr><td class="table_cells"><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59">
Py_file_input</a></td><td class="table_cells">for interpreting sequences of statements</td></tr><td class="table_cells"><a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60">
Py_single_input</a></td><td class="table_cells">for interpreting a single statement</td></tr></table>
<p>
When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58">
Py_eval_input</a>, the input string must contain a single expression
and its result is returned. When using <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59">
Py_file_input</a>, the string can
contain an abitrary number of statements and None is returned.
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-60">
Py_single_input</a> works in the same way as <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-59">
Py_file_input</a> but only accepts a
single statement.</p>
<p>
Lastly, the <tt>globals</tt> and <tt>locals</tt> parameters are Python dictionaries
containing the globals and locals of the context in which to run the code.
For most intents and purposes you can use the namespace dictionary of the
<tt>__main__</tt> module for both parameters.</p>
<p>
We have already seen how to get the <tt>__main__</tt> module's namespace so let's
run some Python code in it:</p>
<code><pre>
<span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>main_module</span><span class=special>(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyImport_AddModule</span><span class=special>(</span><span class=string>&quot;__main__&quot;</span><span class=special>) ));
</span><span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>main_namespace</span><span class=special>(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyModule_GetDict</span><span class=special>(</span><span class=identifier>main_module</span><span class=special>.</span><span class=identifier>get</span><span class=special>()) ));
</span><span class=identifier>handle</span><span class=special>&lt;&gt;( </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=string>&quot;hello = file('hello.txt', 'w')\n&quot;
</span><span class=string>&quot;hello.write('Hello world!')\n&quot;
</span><span class=string>&quot;hello.close()&quot;</span><span class=special>, </span><span class=identifier>Py_file_input</span><span class=special>,
</span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>get</span><span class=special>(), </span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>get</span><span class=special>()) );
</span></pre></code>
<p>
This should create a file called 'hello.txt' in the current directory
containing a phrase that is well-known in programming circles.</p>
<p>
<img src="theme/note.gif"></img> <b>Note</b> that we wrap the return value of <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55">
PyRun_String</a> in a
(nameless) <tt>handle</tt> even though we are not interested in it. If we didn't
do this, the the returned object would be kept alive unnecessarily. Unless
you want to be a Dr. Frankenstein, always wrap <tt>PyObject*</tt>s in <tt>handle</tt>s.</p>
<a name="beyond_handles"></a><h2>Beyond handles</h2><p>
It's nice that <tt>handle</tt> manages the reference counting details for us, but
other than that it doesn't do much. Often we'd like to have a more useful
class to manipulate Python objects. But we have already seen such a class
in the <a href="object_interface.html">
previous section</a>: the aptly named <tt>object</tt>
class and it's derivatives. What we haven't seen, is that they can be
constructed from a <tt>handle</tt>. The following examples should illustrate this
fact:</p>
<code><pre>
<span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>main_module</span><span class=special>(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyImport_AddModule</span><span class=special>(</span><span class=string>&quot;__main__&quot;</span><span class=special>) ));
</span><span class=identifier>dict </span><span class=identifier>main_namespace</span><span class=special>(</span><span class=identifier>handle</span><span class=special>&lt;&gt;(</span><span class=identifier>borrowed</span><span class=special>( </span><span class=identifier>PyModule_GetDict</span><span class=special>(</span><span class=identifier>main_module</span><span class=special>.</span><span class=identifier>get</span><span class=special>()) )));
</span><span class=identifier>handle</span><span class=special>&lt;&gt;( </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=string>&quot;result = 5 ** 2&quot;</span><span class=special>, </span><span class=identifier>Py_file_input</span><span class=special>,
</span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>(), </span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>()) );
</span><span class=keyword>int </span><span class=identifier>five_squared </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;( </span><span class=identifier>main_namespace</span><span class=special>[</span><span class=string>&quot;result&quot;</span><span class=special>] );
</span></pre></code>
<p>
Here we create a dictionary object for the <tt>__main__</tt> module's namespace.
Then we assign 5 squared to the result variable and read this variable from
the dictionary. Another way to achieve the same result is to let
<a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55">
PyRun_String</a> return the result directly with <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-58">
Py_eval_input</a>:</p>
<code><pre>
<span class=identifier>object </span><span class=identifier>result</span><span class=special>(</span><span class=identifier>handle</span><span class=special>&lt;&gt;( </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=string>&quot;5 ** 2&quot;</span><span class=special>, </span><span class=identifier>Py_eval_input</span><span class=special>,
</span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>(), </span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>()) ));
</span><span class=keyword>int </span><span class=identifier>five_squared </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>result</span><span class=special>);
</span></pre></code>
<p>
<img src="theme/note.gif"></img> <b>Note</b> that <tt>object</tt>'s member function to return the wrapped
<tt>PyObject*</tt> is called <tt>ptr</tt> instead of <tt>get</tt>. This makes sense if you
take into account the different functions that <tt>object</tt> and <tt>handle</tt>
perform.</p>
<a name="exception_handling"></a><h2>Exception handling</h2><p>
If an exception occurs in the execution of some Python code, the <a href="http://www.python.org/doc/current/api/veryhigh.html#l2h-55">
PyRun_String</a> function returns a null pointer. Constructing a <tt>handle</tt> out of this null pointer throws <a href="../../v2/errors.html#error_already_set-spec">
error_already_set</a>, so basically, the Python exception is automatically translated into a C++ exception when using <tt>handle</tt>:</p>
<code><pre>
<span class=keyword>try
</span><span class=special>{
</span><span class=identifier>object </span><span class=identifier>result</span><span class=special>(</span><span class=identifier>handle</span><span class=special>&lt;&gt;( </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=string>&quot;5/0&quot;</span><span class=special>, </span><span class=identifier>Py_eval_input</span><span class=special>,
</span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>(), </span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>()) ));
// </span><span class=identifier>execution </span><span class=identifier>will </span><span class=identifier>never </span><span class=identifier>get </span><span class=identifier>here</span><span class=special>:
</span><span class=keyword>int </span><span class=identifier>five_divided_by_zero </span><span class=special>= </span><span class=identifier>extract</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>result</span><span class=special>);
}
</span><span class=keyword>catch</span><span class=special>(</span><span class=identifier>error_already_set</span><span class=special>)
{
// </span><span class=identifier>handle </span><span class=identifier>the </span><span class=identifier>exception </span><span class=identifier>in </span><span class=identifier>some </span><span class=identifier>way
</span><span class=special>}
</span></pre></code>
<p>
The <tt>error_already_set</tt> exception class doesn't carry any information in itself. To find out more about the Python exception that occurred, you need to use the <a href="http://www.python.org/doc/api/exceptionHandling.html">
exception handling functions</a> of the Python/C API in your catch-statement. This can be as simple as calling <a href="http://www.python.org/doc/api/exceptionHandling.html#l2h-70">
PyErr_Print()</a> to print the exception's traceback to the console, or comparing the type of the exception with those of the <a href="http://www.python.org/doc/api/standardExceptions.html">
standard exceptions</a>:</p>
<code><pre>
<span class=keyword>catch</span><span class=special>(</span><span class=identifier>error_already_set</span><span class=special>)
{
</span><span class=keyword>if </span><span class=special>(</span><span class=identifier>PyErr_ExceptionMatches</span><span class=special>(</span><span class=identifier>PyExc_ZeroDivisionError</span><span class=special>))
{
// </span><span class=identifier>handle </span><span class=identifier>ZeroDivisionError </span><span class=identifier>specially
</span><span class=special>}
</span><span class=keyword>else
</span><span class=special>{
// </span><span class=identifier>print </span><span class=identifier>all </span><span class=identifier>other </span><span class=identifier>errors </span><span class=identifier>to </span><span class=identifier>stderr
</span><span class=identifier>PyErr_Print</span><span class=special>();
}
}
</span></pre></code>
<p>
(To retrieve even more information from the exception you can use some of the other exception handling functions listed <a href="http://www.python.org/doc/api/exceptionHandling.html">
here</a>.)</p>
<p>
If you'd rather not have <tt>handle</tt> throw a C++ exception when it is constructed, you can use the <a href="../../v2/handle.html#allow_null-spec">
allow_null</a> function in the same way you'd use borrowed:</p>
<code><pre>
<span class=identifier>handle</span><span class=special>&lt;&gt; </span><span class=identifier>result</span><span class=special>(</span><span class=identifier>allow_null</span><span class=special>( </span><span class=identifier>PyRun_String</span><span class=special>(</span><span class=string>&quot;5/0&quot;</span><span class=special>, </span><span class=identifier>Py_eval_input</span><span class=special>,
</span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>(), </span><span class=identifier>main_namespace</span><span class=special>.</span><span class=identifier>ptr</span><span class=special>()) ));
</span><span class=keyword>if </span><span class=special>(!</span><span class=identifier>result</span><span class=special>)
// </span><span class=identifier>Python </span><span class=identifier>exception </span><span class=identifier>occurred
</span><span class=keyword>else
</span><span class=comment>// everything went okay, it's safe to use the result
</span></pre></code>
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<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
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<p>
Recall that in the <a href="class_virtual_functions.html">
previous section</a>, we
wrapped a class with a pure virtual function that we then implemented in
C++ or Python classes derived from it. Our base class:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Base
</span><span class=special>{
</span><span class=keyword>virtual </span><span class=keyword>int </span><span class=identifier>f</span><span class=special>() = </span><span class=number>0</span><span class=special>;
};
</span></pre></code>
<p>
had a pure virtual function <tt>f</tt>. If, however, its member function <tt>f</tt> was
not declared as pure virtual:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>Base
</span><span class=special>{
</span><span class=keyword>virtual </span><span class=keyword>int </span><span class=identifier>f</span><span class=special>() { </span><span class=keyword>return </span><span class=number>0</span><span class=special>; }
};
</span></pre></code>
<p>
and instead had a default implementation that returns <tt>0</tt>, as shown above,
we need to add a forwarding function that calls the <tt>Base</tt> default virtual
function <tt>f</tt> implementation:</p>
<code><pre>
<span class=keyword>struct </span><span class=identifier>BaseWrap </span><span class=special>: </span><span class=identifier>Base
</span><span class=special>{
</span><span class=identifier>BaseWrap</span><span class=special>(</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self_</span><span class=special>)
: </span><span class=identifier>self</span><span class=special>(</span><span class=identifier>self_</span><span class=special>) {}
</span><span class=keyword>int </span><span class=identifier>f</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>call_method</span><span class=special>&lt;</span><span class=keyword>int</span><span class=special>&gt;(</span><span class=identifier>self</span><span class=special>, </span><span class=string>&quot;f&quot;</span><span class=special>); }
</span><span class=keyword>int </span><span class=identifier>default_f</span><span class=special>() { </span><span class=keyword>return </span><span class=identifier>Base</span><span class=special>::</span><span class=identifier>f</span><span class=special>(); } // &lt;&lt;=== ***</span><span class=identifier>ADDED</span><span class=special>***
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
};
</span></pre></code>
<p>
Then, Boost.Python needs to keep track of 1) the dispatch function <tt>f</tt> and
2) the forwarding function to its default implementation <tt>default_f</tt>.
There's a special <tt>def</tt> function for this purpose. Here's how it is
applied to our example above:</p>
<code><pre>
<span class=identifier>class_</span><span class=special>&lt;</span><span class=identifier>Base</span><span class=special>, </span><span class=identifier>BaseWrap</span><span class=special>&gt;(</span><span class=string>&quot;Base&quot;</span><span class=special>)
.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</span><span class=special>, &amp;</span><span class=identifier>Base</span><span class=special>::</span><span class=identifier>f</span><span class=special>, &amp;</span><span class=identifier>BaseWrap</span><span class=special>::</span><span class=identifier>default_f</span><span class=special>)
</span></pre></code>
<p>
Note that we are allowing <tt>Base</tt> objects to be instantiated this time,
unlike before where we specifically defined the <tt>class_&lt;Base&gt;</tt> with
<tt>no_init</tt>.</p>
<p>
In Python, the results would be as expected:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>base </span><span class=special>= </span><span class=identifier>Base</span><span class=special>()
&gt;&gt;&gt; </span><span class=keyword>class </span><span class=identifier>Derived</span><span class=special>(</span><span class=identifier>Base</span><span class=special>):
... </span><span class=identifier>def </span><span class=identifier>f</span><span class=special>(</span><span class=identifier>self</span><span class=special>):
... </span><span class=keyword>return </span><span class=number>42
</span><span class=special>...
&gt;&gt;&gt; </span><span class=identifier>derived </span><span class=special>= </span><span class=identifier>Derived</span><span class=special>()
</span></pre></code>
<p>
Calling <tt>base.f()</tt>:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>base</span><span class=special>.</span><span class=identifier>f</span><span class=special>()
</span><span class=number>0
</span></pre></code>
<p>
Calling <tt>derived.f()</tt>:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>derived</span><span class=special>.</span><span class=identifier>f</span><span class=special>()
</span><span class=number>42
</span></pre></code>
<p>
Calling <tt>call_f</tt>, passing in a <tt>base</tt> object:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>base</span><span class=special>)
</span><span class=number>0
</span></pre></code>
<p>
Calling <tt>call_f</tt>, passing in a <tt>derived</tt> object:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>call_f</span><span class=special>(</span><span class=identifier>derived</span><span class=special>)
</span><span class=number>42
</span></pre></code>
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<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
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<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -158,6 +158,6 @@ documentation).
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alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -113,7 +113,7 @@
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>.</td>
<td>An MPL unary <a href=
"../../../mpl/doc/paper/html/usage.html#metafunctions.classes">Metafunction
"../../../mpl/doc/refmanual/metafunction-class.html">Metafunction
Class</a> used produce the "preliminary" result object.</td>
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@@ -141,8 +141,7 @@
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@@ -61,7 +61,7 @@ type <code>T</code>. In addition, all pointers are Dereferenceable.
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@@ -83,7 +83,7 @@ are layout-compatible with PyObject.
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</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -61,7 +61,7 @@ type.
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@@ -10,7 +10,7 @@
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"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -221,6 +221,6 @@ you'll just have to wait till next month (hopefully the beginning).
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<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -303,6 +303,6 @@ to these issues will probably have to be formalized before long.
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</p>
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -144,13 +144,7 @@ instances of the associated Python type will be considered a match.
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
<p>Permission to copy, use, modify, sell and distribute this software is
granted provided this copyright notice appears in all copies. This
software is provided "as is" without express or implied warranty, and
with no claim as to its suitability for any purpose.</p>
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
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@@ -9,7 +9,7 @@
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -100,7 +100,7 @@ C++ function return type.
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</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>
Abrahams</a> 2002. </i>
<p>Permission to copy, use, modify, sell
and distribute this software is granted provided this copyright notice appears

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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -126,8 +126,7 @@
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -190,8 +190,7 @@ BOOST_PYTHON_MODULE(xxx)
<p>Revised 01 August, 2003</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002-2003. All
Rights Reserved.</i></p>
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002-2003.</i></p>
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<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Bibliography</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
"header">
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
<h2 align="center">Bibliography</h2>
</td>
</tr>
</table>
<hr>
{{bibliographical information}}
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
13 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
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2002. All Rights Reserved.</i></p>
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
"C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center"><a href="../index.html">Boost.Python</a></h1>
@@ -77,6 +77,6 @@ double apply2(PyObject* func, double x, double y)
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. All Rights Reserved.</i></p>
2002. </i></p>
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<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -152,8 +152,7 @@ BOOST_PYTHON_MODULE(my_module)
</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002.</i></p>
</body>
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@@ -16,7 +16,7 @@
<tr>
<td valign="top" width="300">
<h3><a href="../../../../index.htm"><img height="86" width="277"
alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
alt="C++ Boost" src="../../../../boost.png" border="0"></a></h3>
</td>
<td valign="top">
@@ -79,7 +79,7 @@ call_method&lt;ResultType&gt;(self_object, "<i>method-name</i>", a1, a2... a<i>N
the arguments <code>a1</code>...<code>a<i>N</i></code> are copied into
new Python objects, but this behavior can be overridden by the use of
<code><a href="ptr.html#ptr-spec">ptr()</a></code> and <a href=
"../../../bind/ref.html#reference_wrapper">ref()</a>:</p>
"../../../bind/ref.html">ref()</a>:</p>
<pre>
class X : boost::noncopyable
{
@@ -128,7 +128,7 @@ void apply(PyObject* callable, X&amp; x)
<tr>
<td><code><a href=
"../../../bind/ref.html#reference_wrapper">boost::reference_wrapper</a>&lt;T&gt;</code></td>
"../../../bind/ref.html">boost::reference_wrapper</a>&lt;T&gt;</code></td>
<td>The Python argument contains a pointer to, rather than a copy of,
<code>x.get()</code>. Note: failure to ensure that no Python code
@@ -245,8 +245,7 @@ void apply(PyObject* callable, X&amp; x)
</p>
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"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
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