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11 Commits

Author SHA1 Message Date
Joel de Guzman
9743ad0a69 module, class_ .def dispatching
[SVN r14963]
2002-08-19 18:46:44 +00:00
Joel de Guzman
432a9b85e7 Using PP Iteration
[SVN r14950]
2002-08-19 11:15:10 +00:00
Joel de Guzman
9d51d39d7a const class signature + simplified comments in class and module
[SVN r14817]
2002-08-13 18:38:39 +00:00
Joel de Guzman
a33ee22259 Removed obsolete commented code
[SVN r14816]
2002-08-13 18:24:22 +00:00
Joel de Guzman
943b96f902 Misc comments from Dave
[SVN r14815]
2002-08-13 17:52:30 +00:00
Joel de Guzman
d52bc52515 More comments...
[SVN r14811]
2002-08-13 12:41:51 +00:00
Joel de Guzman
fe19b49273 sprinkled with comments
[SVN r14810]
2002-08-13 12:07:16 +00:00
Joel de Guzman
e56f6833e6 API changes + signature template and get_signature(sig) functions
[SVN r14807]
2002-08-13 10:06:27 +00:00
Joel de Guzman
502e67c114 jamfile
[SVN r14790]
2002-08-12 15:29:23 +00:00
Joel de Guzman
cdf49c6ac0 Default Arguments Handling
[SVN r14786]
2002-08-12 14:22:36 +00:00
nobody
bbc90bcc9c This commit was manufactured by cvs2svn to create branch
'python-v2-dev'.

[SVN r14785]
2002-08-12 13:35:54 +00:00
403 changed files with 33700 additions and 19201 deletions

42
Jamfile Normal file
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@@ -0,0 +1,42 @@
subproject libs/python ;
# bring in the rules for python
SEARCH on <module@>python.jam = $(BOOST_BUILD_PATH) ;
include <module@>python.jam ;
local bpl-ldflags ;
if $(UNIX) && ( $(OS) = AIX )
{
bpl-linkflags = <linkflags>"-e initlibbpl" ;
}
dll bpl
:
src/list.cpp
src/long.cpp
src/dict.cpp
src/tuple.cpp
src/str.cpp
src/aix_init_module.cpp
src/converter/from_python.cpp
src/converter/registry.cpp
src/converter/type_id.cpp
src/object/class.cpp
src/object/function.cpp
src/object/inheritance.cpp
src/object/life_support.cpp
src/object/pickle_support.cpp
src/errors.cpp
src/module.cpp
src/converter/builtin_converters.cpp
src/converter/arg_to_python_base.cpp
src/object/iterator.cpp
src/object_protocol.cpp
src/object_operators.cpp
:
$(BOOST_PYTHON_V2_PROPERTIES)
<define>BOOST_PYTHON_SOURCE
$(bpl-linkflags)
;

Binary file not shown.

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@@ -3,8 +3,56 @@
# 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.
#
# Boost.Python library Jamfile
# Boost.Python build and test Jamfile
#
# To run all tests quietly: jam test
# To run all tests with verbose output: jam -sPYTHON_TEST_ARGS=-v test
#
# Declares the following targets:
# 1. libboost_python.dll/.so, a dynamic library to be linked with all
# Boost.Python modules
#
# 2. pairs of test targets of the form <name>.test and <name>.run
# <name>.test runs the test when it is out-of-date, and the "test"
# pseudotarget depends on it. <name>.run runs
# a test unconditionally, and can be used to force a test to run.. Each
# test target builds one or more Boost.Python modules and runs a Python
# script to test them. The test names are:
#
# from ../test
#
# comprehensive - a comprehensive test of Boost.Python features
#
# from ../example:
# abstract -
# getting_started1 -
# getting_started2 -
# simple_vector -
# do_it_yourself_convts -
# pickle1 -
# pickle2 -
# pickle3 -
#
# dvect1 -
# dvect2 -
# ivect1 -
# ivect2 -
# noncopyable -
#
# subproject-specific environment/command-line variables:
#
# PYTHON - How to invoke the Python interpreter. Defaults to "python"
#
# PYTHON_ROOT - Windows only: where Python is installed. Defaults to "c:/tools/python"
#
# PYTHON_VERSION - Version of Python. Defaults to "2.1" on Windows, "1.5" on Unix
#
# PYTHON_TEST_ARGS - specifies arguments to be passed to test scripts on
# the command line. "-v" can be useful if you want to
# see the output of successful tests.
#
# PYTHON_VECT_ITERATIONS - specifies the number of test iterations to use for
# the dvect and ivect tests above.
# declare the location of this subproject relative to the root
subproject libs/python/build ;
@@ -13,54 +61,113 @@ subproject libs/python/build ;
SEARCH on <module@>python.jam = $(BOOST_BUILD_PATH) ;
include <module@>python.jam ;
if [ check-python-config ]
# This nasty hack works with versions of Python 1.5.2 -> 2.2 to avoid
# building any Python stuff if there's no installation.
SEARCH on <find-python-install>__init__.py = $(PYTHON_STDLIB_PATH)/test $(SUBDIR) ;
include <find-python-install>__init__.py ;
if ! $(gNO_PYTHON_INSTALL)
{
local bpl-linkflags ;
local PYTHON_PROPERTIES = $(PYTHON_PROPERTIES) <define>BOOST_PYTHON_DYNAMIC_LIB ;
if $(UNIX) && ( $(OS) = AIX )
{
bpl-linkflags = <linkflags>"-e initlibboost_python" ;
}
#######################
rule bpl-test ( test-name : sources + )
{
boost-python-test $(test-name) : $(sources) <dll>boost_python ;
}
dll boost_python
:
../src/numeric.cpp
#######################
../src/list.cpp
../src/long.cpp
../src/dict.cpp
../src/tuple.cpp
../src/str.cpp
#
# Declare the boost python static link library
#
../src/aix_init_module.cpp
../src/converter/from_python.cpp
../src/converter/registry.cpp
../src/converter/type_id.cpp
../src/object/enum.cpp
../src/object/class.cpp
../src/object/function.cpp
../src/object/inheritance.cpp
../src/object/life_support.cpp
../src/object/pickle_support.cpp
../src/errors.cpp
../src/module.cpp
../src/converter/builtin_converters.cpp
../src/converter/arg_to_python_base.cpp
../src/object/iterator.cpp
../src/object_protocol.cpp
../src/object_operators.cpp
:
$(BOOST_PYTHON_V2_PROPERTIES)
<define>BOOST_PYTHON_SOURCE
$(bpl-linkflags)
# Base names of the source files for libboost_python
local CPP_SOURCES =
types classes conversions extension_class functions
init_function module_builder objects cross_module errors
;
lib boost_python_static : ../src/$(CPP_SOURCES).cpp
# requirements
: $(BOOST_PYTHON_INCLUDES)
<shared-linkable>true
<define>BOOST_PYTHON_STATIC_LIB=1
[ difference $(PYTHON_PROPERTIES) : <define>BOOST_PYTHON_DYNAMIC_LIB ]
: <suppress>true # don't build this unless the user asks for it by name
;
stage bin-stage : <dll>boost_python
dll boost_python
# $(SUFDLL[1])
: ../src/$(CPP_SOURCES).cpp
# requirements
: $(BOOST_PYTHON_INCLUDES)
<shared-linkable>true
<runtime-link>dynamic
$(PYTHON_PROPERTIES)
;
stage bin-stage : <dll>boost_python
:
<tag><debug>"_debug"
<tag><debug-python>"_pydebug"
:
debug release
;
############# comprehensive module and test ###########
bpl-test boost_python_test
: ../test/comprehensive.cpp ;
boost-python-runtest comprehensive
: ../test/comprehensive.py <pyd>boost_python_test <dll>boost_python ;
############# simple tests from ../example ############
rule boost-python-example-runtest ( name )
{
bpl-test $(name)
: ../example/$(name).cpp ;
boost-python-runtest $(name)
: ../example/test_$(name).py <pyd>$(name) <dll>boost_python ;
}
boost-python-example-runtest abstract ;
boost-python-example-runtest getting_started1 ;
boost-python-example-runtest getting_started2 ;
boost-python-example-runtest simple_vector ;
boost-python-example-runtest do_it_yourself_convts ;
boost-python-example-runtest pickle1 ;
boost-python-example-runtest pickle2 ;
boost-python-example-runtest pickle3 ;
bpl-test ivect : ../example/ivect.cpp ;
bpl-test dvect : ../example/dvect.cpp ;
bpl-test noncopyable_export : ../example/noncopyable_export.cpp ;
bpl-test noncopyable_import : ../example/noncopyable_import.cpp ;
############## cross-module tests from ../example ##########
# A simple rule to build a test which depends on multiple modules in the PYTHONPATH
rule boost-python-multi-example-runtest ( test-name : modules + )
{
boost-python-runtest $(test-name)
: ../example/tst_$(test-name).py <pyd>$(modules) <dll>boost_python
: : : $(PYTHON_VECT_ITERATIONS) ;
}
PYTHON_VECT_ITERATIONS ?= 10 ;
boost-python-multi-example-runtest dvect1 : ivect dvect ;
boost-python-multi-example-runtest dvect2 : ivect dvect ;
boost-python-multi-example-runtest ivect1 : ivect dvect ;
boost-python-multi-example-runtest ivect2 : ivect dvect ;
boost-python-multi-example-runtest
noncopyable : noncopyable_import noncopyable_export ;
}

22
build/__init__.py Normal file
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@@ -0,0 +1,22 @@
# Dummy file actually to be included by Jam when the python headers
# can't be found
if ! $(gNO_PYTHON_INSTALL)
{
ECHO "---------------------------------------------------------------------" ;
ECHO skipping Boost.Python library build ;
ECHO You can configure the location of your python installation, by setting: ;
ECHO "PYTHON_ROOT - currently" \"$(PYTHON_ROOT:J=" ")\" ;
ECHO "PYTHON_VERSION - The 2-part python Major.Minor version number (e.g." ;
ECHO " \"2.2\", NOT \"2.2.1\") - currently" \"$(PYTHON_VERSION)\" ;
ECHO ;
ECHO "The following are automatically configured from PYTHON_ROOT if not" ;
ECHO "otherwise set:" ;
ECHO " PYTHON_INCLUDES - path to Python #include directories; currently" \"$(PYTHON_INCLUDES:J=" ")\" ;
ECHO " PYTHON_LIB_PATH - path to Python library; currently" ;
ECHO " " \"$(PYTHON_LIB_PATH:J=" ")\" ;
ECHO " PYTHON_STDLIB_PATH - path to Python standard library modules; currently" ;
ECHO " " \"$(PYTHON_STDLIB_PATH:J=" ")\" ;
ECHO "---------------------------------------------------------------------" ;
}
gNO_PYTHON_INSTALL ?= true ;

59
build/como.mak Normal file
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@@ -0,0 +1,59 @@
# Revision History:
# 17 Apr 01 include cross-module support, compile getting_started1 (R.W. Grosse-Kunstleve) UNTESTED!
# 06 Mar 01 Fixed typo in use of "PYTHON_LIB" (Dave Abrahams)
# 04 Mar 01 Changed library name to libboost_python.a (David Abrahams)
LIBSRC = \
classes.cpp \
conversions.cpp \
cross_module.cpp \
errors.cpp \
extension_class.cpp \
functions.cpp \
init_function.cpp \
module_builder.cpp \
objects.cpp \
types.cpp
LIBOBJ = $(LIBSRC:.cpp=.o)
OBJ = $(LIBOBJ)
ifeq "$(OS)" "Windows_NT"
PYTHON_LIB=c:/tools/python/libs/python15.lib
INC = -Ic:/cygnus/usr/include/g++-3 -Ic:/cygnus/usr/include -Ic:/boost -Ic:/tools/python/include
MODULE_EXTENSION=dll
else
INC = -I/usr/local/include/python1.5
MODULE_EXTENSION=so
endif
%.o: ../src/%.cpp
como --pic $(INC) -o $*.o -c $<
%.d: ../src/%.cpp
@echo creating $@
@set -e; como -M $(INC) -c $< \
| sed 's/\($*\)\.o[ :]*/\1.o $@ : /g' > $@; \
[ -s $@ ] || rm -f $@
getting_started1: getting_started1.o libboost_python.a
como-dyn-link -o ../example/getting_started1.$(MODULE_EXTENSION) $(PYTHON_LIB) getting_started1.o -L. -lboost_python
ln -s ../test/doctest.py ../example
python ../example/test_getting_started1.py
getting_started1.o: ../example/getting_started1.cpp
como --pic $(INC) -o $*.o -c $<
clean:
rm -rf *.o *.$(MODULE_EXTENSION) *.a *.d *.pyc *.bak a.out
libboost_python.a: $(LIBOBJ)
rm -f libboost_python.a
ar cq libboost_python.a $(LIBOBJ)
DEP = $(OBJ:.o=.d)
ifneq "$(MAKECMDGOALS)" "clean"
include $(DEP)
endif

146
build/filemgr.py Normal file
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@@ -0,0 +1,146 @@
# Revision history:
# 12 Apr 01 use os.path, shutil
# Initial version: R.W. Grosse-Kunstleve
bpl_src = "/libs/python/src"
bpl_tst = "/libs/python/test"
bpl_exa = "/libs/python/example"
files = (
bpl_src + "/classes.cpp",
bpl_src + "/conversions.cpp",
bpl_src + "/errors.cpp",
bpl_src + "/extension_class.cpp",
bpl_src + "/functions.cpp",
bpl_src + "/init_function.cpp",
bpl_src + "/module_builder.cpp",
bpl_src + "/objects.cpp",
bpl_src + "/types.cpp",
bpl_src + "/cross_module.cpp",
bpl_tst + "/comprehensive.cpp",
bpl_tst + "/comprehensive.hpp",
bpl_tst + "/comprehensive.py",
bpl_tst + "/doctest.py",
bpl_exa + "/abstract.cpp",
bpl_exa + "/getting_started1.cpp",
bpl_exa + "/getting_started2.cpp",
bpl_exa + "/simple_vector.cpp",
bpl_exa + "/do_it_yourself_convts.cpp",
bpl_exa + "/nested.cpp",
bpl_exa + "/pickle1.cpp",
bpl_exa + "/pickle2.cpp",
bpl_exa + "/pickle3.cpp",
bpl_exa + "/test_abstract.py",
bpl_exa + "/test_getting_started1.py",
bpl_exa + "/test_getting_started2.py",
bpl_exa + "/test_simple_vector.py",
bpl_exa + "/test_do_it_yourself_convts.py",
bpl_exa + "/test_nested.py",
bpl_exa + "/test_pickle1.py",
bpl_exa + "/test_pickle2.py",
bpl_exa + "/test_pickle3.py",
bpl_exa + "/noncopyable.h",
bpl_exa + "/noncopyable_export.cpp",
bpl_exa + "/noncopyable_import.cpp",
bpl_exa + "/dvect.h",
bpl_exa + "/dvect.cpp",
bpl_exa + "/dvect_conversions.cpp",
bpl_exa + "/dvect_defs.cpp",
bpl_exa + "/ivect.h",
bpl_exa + "/ivect.cpp",
bpl_exa + "/ivect_conversions.cpp",
bpl_exa + "/ivect_defs.cpp",
bpl_exa + "/tst_noncopyable.py",
bpl_exa + "/tst_dvect1.py",
bpl_exa + "/tst_dvect2.py",
bpl_exa + "/tst_ivect1.py",
bpl_exa + "/tst_ivect2.py",
bpl_exa + "/test_cross_module.py",
bpl_exa + "/vector_wrapper.h",
bpl_exa + "/richcmp1.cpp",
bpl_exa + "/richcmp2.cpp",
bpl_exa + "/richcmp3.cpp",
bpl_exa + "/test_richcmp1.py",
bpl_exa + "/test_richcmp2.py",
bpl_exa + "/test_richcmp3.py",
)
defs = (
"boost_python_test",
"abstract",
"getting_started1",
"getting_started2",
"simple_vector",
"do_it_yourself_convts",
"nested",
"pickle1",
"pickle2",
"pickle3",
"noncopyable_export",
"noncopyable_import",
"ivect",
"dvect",
"richcmp1",
"richcmp2",
"richcmp3",
)
if (__name__ == "__main__"):
import sys, os, shutil
path = sys.argv[1]
mode = sys.argv[2]
if (not mode in ("softlinks", "unlink", "cp", "rm", "copy", "del")):
raise RuntimeError, \
"usage: python filemgr.py path <softlinks|unlink|cp|rm|copy|del>"
if (mode in ("cp", "copy")):
for fn in files:
f = os.path.basename(fn)
print "Copying: " + f
shutil.copy(path + fn, ".")
elif (mode == "softlinks"):
for fn in files:
f = os.path.basename(fn)
if (os.path.exists(f)):
print "File exists: " + f
else:
print "Linking: " + f
os.symlink(path + fn, f)
elif (mode in ("rm", "del")):
for fn in files:
f = os.path.basename(fn)
if (os.path.exists(f)):
print "Removing: " + f
try: os.unlink(f)
except: pass
elif (mode == "unlink"):
for fn in files:
f = os.path.basename(fn)
if (os.path.exists(f)):
if (os.path.islink(f)):
print "Unlinking: " + f
try: os.unlink(f)
except: pass
else:
print "Not a softlink: " + f
if (mode in ("softlinks", "cp", "copy")):
for d in defs:
fn = d + ".def"
print "Creating: " + fn
f = open(fn, "w")
f.write("EXPORTS\n")
f.write("\tinit" + d + "\n")
f.close()
if (mode in ("unlink", "rm", "del")):
for d in defs:
fn = d + ".def"
if (os.path.exists(fn)):
print "Removing: " + fn
try: os.unlink(fn)
except: pass

88
build/gcc.mak Normal file
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@@ -0,0 +1,88 @@
# Revision History
# 17 Apr 01 include cross-module support, compile getting_started1 (R.W. Grosse-Kunstleve)
# 17 Apr 01 build shared library (patch provided by Dan Nuffer)
# 04 Mar 01 Changed library name to libboost_python.a, various cleanups,
# attempted Cygwin compatibility. Still needs testing on Linux
# (David Abrahams)
LIBSRC = \
classes.cpp \
conversions.cpp \
cross_module.cpp \
errors.cpp \
extension_class.cpp \
functions.cpp \
init_function.cpp \
module_builder.cpp \
objects.cpp \
types.cpp
LIBOBJ = $(LIBSRC:.cpp=.o)
OBJ = $(LIBOBJ)
LIBNAME = libboost_python
# libpython2.0.dll
ifeq "$(OS)" "Windows_NT"
ROOT=c:/cygnus
INC = -Ic:/cygnus/usr/include/g++-3 -Ic:/cygnus/usr/include -Ic:/boost -I$(PYTHON_INC)
MODULE_EXTENSION=dll
PYTHON_LIB=c:/cygnus/usr/local/lib/python2.0/config/libpython2.0.dll.a
SHARED_LIB = $(LIBNAME).dll
else
PYTHON_INC=$(ROOT)/usr/local/Python-2.0/include/python2.0
BOOST_INC=../../..
INC = -I$(BOOST_INC) -I$(PYTHON_INC)
MODULE_EXTENSION=so
VERSION=1
SHARED_LIB = $(LIBNAME).so.$(VERSION)
endif
%.o: ../src/%.cpp
g++ -fPIC -Wall -W $(INC) $(CXXFLAGS) -o $*.o -c $<
%.d: ../src/%.cpp
@echo creating $@
@set -e; g++ -M $(INC) -c $< \
| sed 's/\($*\)\.o[ :]*/\1.o $@ : /g' > $@; \
[ -s $@ ] || rm -f $@
PYTHON = python
all: test $(SHARED_LIB) getting_started1
test: comprehensive.o $(LIBNAME).a $(SHARED_LIB)
g++ $(CXXFLAGS) -shared -o ../test/boost_python_test.$(MODULE_EXTENSION) comprehensive.o -L. -lboost_python $(PYTHON_LIB)
$(PYTHON) ../test/comprehensive.py
comprehensive.o: ../test/comprehensive.cpp
g++ $(CXXFLAGS) --template-depth-32 -fPIC -Wall -W $(INC) -o $*.o -c $<
getting_started1: getting_started1.o $(LIBNAME).a
g++ $(CXXFLAGS) -shared -o ../example/getting_started1.$(MODULE_EXTENSION) getting_started1.o -L. -lboost_python $(PYTHON_LIB)
ln -s ../test/doctest.py ../example
$(PYTHON) ../example/test_getting_started1.py
getting_started1.o: ../example/getting_started1.cpp
g++ $(CXXFLAGS) --template-depth-32 -fPIC -Wall -W $(INC) -o $*.o -c $<
clean:
rm -rf *.o *.$(MODULE_EXTENSION) *.a *.d *.pyc *.bak a.out
$(LIBNAME).a: $(LIBOBJ)
rm -f $@
ar cqs $@ $(LIBOBJ)
$(SHARED_LIB): $(LIBOBJ)
g++ $(CXXFLAGS) -shared -o $@ -Wl,--soname=$(LIBNAME).$(MODULE_EXTENSION)
DEP = $(OBJ:.o=.d)
ifneq "$(MAKECMDGOALS)" "clean"
include $(DEP)
endif

184
build/irix_CC.mak Normal file
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@@ -0,0 +1,184 @@
# Usage:
#
# Create a new empty directory anywhere (preferably not in the boost tree).
# Copy this Makefile to that new directory and rename it to "Makefile"
# Adjust the pathnames below.
#
# make softlinks Create softlinks to source code and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make unlink Remove softlinks
#
# Revision history:
# 12 Apr 01 new macro ROOT to simplify configuration (R.W. Grosse-Kunstleve)
# Initial version: R.W. Grosse-Kunstleve
ROOT=$(HOME)
BOOST=$(ROOT)/boost
#PYEXE=PYTHONPATH=. /usr/local/Python-1.5.2/bin/python
#PYINC=-I/usr/local/Python-1.5.2/include/python1.5
PYEXE=PYTHONPATH=. /usr/local_cci/Python-2.1.1/bin/python
PYINC=-I/usr/local_cci/Python-2.1.1/include/python2.1
STLPORTINC=-I$(BOOST)/boost/compatibility/cpp_c_headers
STDOPTS=
WARNOPTS=-woff 1001,1234,1682
OPTOPTS=-g
CPP=CC -LANG:std -n32 -mips4
CPPOPTS=$(STLPORTINC) $(STLPORTOPTS) -I$(BOOST) $(PYINC) \
$(STDOPTS) $(WARNOPTS) $(OPTOPTS)
MAKEDEP=-M
LD=CC -LANG:std -n32 -mips4
LDOPTS=-shared
OBJ=classes.o conversions.o errors.o extension_class.o functions.o \
init_function.o module_builder.o \
objects.o types.o cross_module.o
DEPOBJ=$(OBJ) \
comprehensive.o \
abstract.o \
getting_started1.o getting_started2.o \
simple_vector.o \
do_it_yourself_convts.o \
nested.o \
pickle1.o pickle2.o pickle3.o \
noncopyable_export.o noncopyable_import.o \
ivect.o dvect.o \
richcmp1.o richcmp2.o richcmp3.o
.SUFFIXES: .o .cpp
all: libboost_python.a \
boost_python_test.so \
abstract.so \
getting_started1.so getting_started2.so \
simple_vector.so \
do_it_yourself_convts.so \
nested.so \
pickle1.so pickle2.so pickle3.so \
noncopyable_export.so noncopyable_import.so \
ivect.so dvect.so \
richcmp1.so richcmp2.so richcmp3.so
libboost_python.a: $(OBJ)
rm -f libboost_python.a
$(CPP) -ar -o libboost_python.a $(OBJ)
boost_python_test.so: $(OBJ) comprehensive.o
$(LD) $(LDOPTS) $(OBJ) comprehensive.o -o boost_python_test.so -lm
abstract.so: $(OBJ) abstract.o
$(LD) $(LDOPTS) $(OBJ) abstract.o -o abstract.so
getting_started1.so: $(OBJ) getting_started1.o
$(LD) $(LDOPTS) $(OBJ) getting_started1.o -o getting_started1.so
getting_started2.so: $(OBJ) getting_started2.o
$(LD) $(LDOPTS) $(OBJ) getting_started2.o -o getting_started2.so
simple_vector.so: $(OBJ) simple_vector.o
$(LD) $(LDOPTS) $(OBJ) simple_vector.o -o simple_vector.so
do_it_yourself_convts.so: $(OBJ) do_it_yourself_convts.o
$(LD) $(LDOPTS) $(OBJ) do_it_yourself_convts.o -o do_it_yourself_convts.so
nested.so: $(OBJ) nested.o
$(LD) $(LDOPTS) $(OBJ) nested.o -o nested.so
pickle1.so: $(OBJ) pickle1.o
$(LD) $(LDOPTS) $(OBJ) pickle1.o -o pickle1.so
pickle2.so: $(OBJ) pickle2.o
$(LD) $(LDOPTS) $(OBJ) pickle2.o -o pickle2.so
pickle3.so: $(OBJ) pickle3.o
$(LD) $(LDOPTS) $(OBJ) pickle3.o -o pickle3.so
noncopyable_export.so: $(OBJ) noncopyable_export.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_export.o -o noncopyable_export.so
noncopyable_import.so: $(OBJ) noncopyable_import.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_import.o -o noncopyable_import.so
ivect.so: $(OBJ) ivect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) ivect.o -o ivect.so
dvect.so: $(OBJ) dvect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) dvect.o -o dvect.so
richcmp1.so: $(OBJ) richcmp1.o
$(LD) $(LDOPTS) $(OBJ) richcmp1.o -o richcmp1.so
richcmp2.so: $(OBJ) richcmp2.o
$(LD) $(LDOPTS) $(OBJ) richcmp2.o -o richcmp2.so
richcmp3.so: $(OBJ) richcmp3.o
$(LD) $(LDOPTS) $(OBJ) richcmp3.o -o richcmp3.so
.cpp.o:
$(CPP) $(CPPOPTS) -c $*.cpp
test:
$(PYEXE) comprehensive.py
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
rm -f $(OBJ) libboost_python.a libboost_python.a.input
rm -f comprehensive.o boost_python_test.so
rm -f abstract.o abstract.so
rm -f getting_started1.o getting_started1.so
rm -f getting_started2.o getting_started2.so
rm -f simple_vector.o simple_vector.so
rm -f do_it_yourself_convts.o do_it_yourself_convts.so
rm -f nested.o nested.so
rm -f pickle1.o pickle1.so
rm -f pickle2.o pickle2.so
rm -f pickle3.o pickle3.so
rm -f noncopyable_export.o noncopyable_export.so
rm -f noncopyable_import.o noncopyable_import.so
rm -f ivect.o ivect.so
rm -f dvect.o dvect.so
rm -f richcmp1.o richcmp1.so
rm -f richcmp2.o richcmp2.so
rm -f richcmp3.o richcmp3.so
rm -f so_locations *.pyc
rm -rf ii_files
softlinks:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) softlinks
unlink:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) unlink
cp:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) cp
rm:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) rm
depend:
@ cat Makefile.nodepend; \
for obj in $(DEPOBJ); \
do \
bn=`echo "$$obj" | cut -d. -f1`; \
$(CPP) $(CPPOPTS) $(MAKEDEP) "$$bn".cpp; \
done

184
build/linux_gcc.mak Normal file
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@@ -0,0 +1,184 @@
# Usage:
#
# Create a new empty directory anywhere (preferably not in the boost tree).
# Copy this Makefile to that new directory and rename it to "Makefile"
# Adjust the pathnames below.
#
# make softlinks Create softlinks to source code and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make unlink Remove softlinks
#
# Revision history:
# 12 Apr 01 new macro ROOT to simplify configuration (R.W. Grosse-Kunstleve)
# Initial version: R.W. Grosse-Kunstleve
ROOT=$(HOME)
BOOST=$(ROOT)/boost
#PYEXE=PYTHONPATH=. /usr/bin/python
#PYINC=-I/usr/include/python1.5
#PYEXE=PYTHONPATH=. /usr/local/Python-1.5.2/bin/python
#PYINC=-I/usr/local/Python-1.5.2/include/python1.5
PYEXE=PYTHONPATH=. /usr/local_cci/Python-2.1.1/bin/python
PYINC=-I/usr/local_cci/Python-2.1.1/include/python2.1
STDOPTS=-fPIC -ftemplate-depth-21
WARNOPTS=
OPTOPTS=-g
CPP=g++
CPPOPTS=$(STLPORTINC) $(STLPORTOPTS) -I$(BOOST) $(PYINC) \
$(STDOPTS) $(WARNOPTS) $(OPTOPTS)
MAKEDEP=-M
LD=$(CPP)
LDOPTS=-shared
OBJ=classes.o conversions.o errors.o extension_class.o functions.o \
init_function.o module_builder.o \
objects.o types.o cross_module.o
DEPOBJ=$(OBJ) \
comprehensive.o \
abstract.o \
getting_started1.o getting_started2.o \
simple_vector.o \
do_it_yourself_convts.o \
nested.o \
pickle1.o pickle2.o pickle3.o \
noncopyable_export.o noncopyable_import.o \
ivect.o dvect.o \
richcmp1.o richcmp2.o richcmp3.o
.SUFFIXES: .o .cpp
all: libboost_python.a \
boost_python_test.so \
abstract.so \
getting_started1.so getting_started2.so \
simple_vector.so \
do_it_yourself_convts.so \
nested.so \
pickle1.so pickle2.so pickle3.so \
noncopyable_export.so noncopyable_import.so \
ivect.so dvect.so \
richcmp1.so richcmp2.so richcmp3.so
libboost_python.a: $(OBJ)
rm -f libboost_python.a
ar r libboost_python.a $(OBJ)
boost_python_test.so: $(OBJ) comprehensive.o
$(LD) $(LDOPTS) $(OBJ) comprehensive.o -o boost_python_test.so -lm
abstract.so: $(OBJ) abstract.o
$(LD) $(LDOPTS) $(OBJ) abstract.o -o abstract.so
getting_started1.so: $(OBJ) getting_started1.o
$(LD) $(LDOPTS) $(OBJ) getting_started1.o -o getting_started1.so
getting_started2.so: $(OBJ) getting_started2.o
$(LD) $(LDOPTS) $(OBJ) getting_started2.o -o getting_started2.so
simple_vector.so: $(OBJ) simple_vector.o
$(LD) $(LDOPTS) $(OBJ) simple_vector.o -o simple_vector.so
do_it_yourself_convts.so: $(OBJ) do_it_yourself_convts.o
$(LD) $(LDOPTS) $(OBJ) do_it_yourself_convts.o -o do_it_yourself_convts.so
nested.so: $(OBJ) nested.o
$(LD) $(LDOPTS) $(OBJ) nested.o -o nested.so
pickle1.so: $(OBJ) pickle1.o
$(LD) $(LDOPTS) $(OBJ) pickle1.o -o pickle1.so
pickle2.so: $(OBJ) pickle2.o
$(LD) $(LDOPTS) $(OBJ) pickle2.o -o pickle2.so
pickle3.so: $(OBJ) pickle3.o
$(LD) $(LDOPTS) $(OBJ) pickle3.o -o pickle3.so
noncopyable_export.so: $(OBJ) noncopyable_export.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_export.o -o noncopyable_export.so
noncopyable_import.so: $(OBJ) noncopyable_import.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_import.o -o noncopyable_import.so
ivect.so: $(OBJ) ivect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) ivect.o -o ivect.so
dvect.so: $(OBJ) dvect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) dvect.o -o dvect.so
richcmp1.so: $(OBJ) richcmp1.o
$(LD) $(LDOPTS) $(OBJ) richcmp1.o -o richcmp1.so
richcmp2.so: $(OBJ) richcmp2.o
$(LD) $(LDOPTS) $(OBJ) richcmp2.o -o richcmp2.so
richcmp3.so: $(OBJ) richcmp3.o
$(LD) $(LDOPTS) $(OBJ) richcmp3.o -o richcmp3.so
.cpp.o:
$(CPP) $(CPPOPTS) -c $*.cpp
test:
$(PYEXE) comprehensive.py
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
rm -f $(OBJ) libboost_python.a libboost_python.a.input
rm -f comprehensive.o boost_python_test.so
rm -f abstract.o abstract.so
rm -f getting_started1.o getting_started1.so
rm -f getting_started2.o getting_started2.so
rm -f simple_vector.o simple_vector.so
rm -f do_it_yourself_convts.o do_it_yourself_convts.so
rm -f nested.o nested.so
rm -f pickle1.o pickle1.so
rm -f pickle2.o pickle2.so
rm -f pickle3.o pickle3.so
rm -f noncopyable_export.o noncopyable_export.so
rm -f noncopyable_import.o noncopyable_import.so
rm -f ivect.o ivect.so
rm -f dvect.o dvect.so
rm -f richcmp1.o richcmp1.so
rm -f richcmp2.o richcmp2.so
rm -f richcmp3.o richcmp3.so
rm -f so_locations *.pyc
softlinks:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) softlinks
unlink:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) unlink
cp:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) cp
rm:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) rm
depend:
@ cat Makefile.nodepend; \
for obj in $(DEPOBJ); \
do \
bn=`echo "$$obj" | cut -d. -f1`; \
$(CPP) $(CPPOPTS) $(MAKEDEP) "$$bn".cpp; \
done

222
build/mingw32.mak Normal file
View File

@@ -0,0 +1,222 @@
# Usage:
#
# make copy Copy the sources and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make del Remove the sources and tests
#
# Revision history:
# 12 Apr 01 new macro ROOT to simplify configuration (R.W. Grosse-Kunstleve)
# Initial version: R.W. Grosse-Kunstleve
# To install mingw32, follow instructions at:
# http://starship.python.net/crew/kernr/mingw32/Notes.html
# In particular, install:
# ftp://ftp.xraylith.wisc.edu/pub/khan/gnu-win32/mingw32/gcc-2.95.2/gcc-2.95.2-msvcrt.exe
# ftp://ftp.xraylith.wisc.edu/pub/khan/gnu-win32/mingw32/gcc-2.95.2/fixes/quote-fix-msvcrt.exe
# http://starship.python.net/crew/kernr/mingw32/Python-1.5.2-mingw32.zip
# Unpack the first two archives in the default locations and update your PATH.
# Unpack the third archive in \usr.
# Note: comprehensive.cpp generates compiler errors and later crashes.
# L:\boost\boost\python\detail\extension_class.hpp:643: warning:
# alignment of `vtable for class
# boost::python::detail::held_instance<bpl_test::Derived1>'
# is greater than maximum object file alignment. Using 16.
# Could this be fixed with compiler options?
# -fhuge-objects looks interesting, but requires recompiling the C++ library.
# (what exactly does that mean?)
# -fvtable-thunks eliminates the compiler warning, but
# "import boost_python_test" still causes a crash.
ROOT=R:
BOOST_WIN="$(ROOT)\boost"
BOOST_UNIX=$(HOME)/boost
PYEXE="C:\Program files\Python\python.exe"
PYINC=-I"C:\usr\include\python1.5"
PYLIB="C:\usr\lib\libpython15.a"
#PYEXE="C:\Python21\python.exe"
#PYINC=-I"C:\usr\include\python2.1"
#PYLIB="C:\usr\lib\libpython21.a"
STDOPTS=-ftemplate-depth-21
WARNOPTS=
OPTOPTS=-g
CPP=g++
CPPOPTS=$(STLPORTINC) $(STLPORTOPTS) -I$(BOOST_WIN) $(PYINC) \
$(STDOPTS) $(WARNOPTS) $(OPTOPTS)
LD=g++
LDOPTS=-shared
OBJ=classes.o conversions.o errors.o extension_class.o functions.o \
init_function.o module_builder.o \
objects.o types.o cross_module.o
.SUFFIXES: .o .cpp
all: libboost_python.a \
abstract.pyd \
getting_started1.pyd getting_started2.pyd \
simple_vector.pyd \
do_it_yourself_convts.pyd \
nested.pyd \
pickle1.pyd pickle2.pyd pickle3.pyd \
noncopyable_export.pyd noncopyable_import.pyd \
ivect.pyd dvect.pyd \
richcmp1.pyd richcmp2.pyd richcmp3.pyd
libboost_python.a: $(OBJ)
-del libboost_python.a
ar r libboost_python.a $(OBJ)
DLLWRAPOPTS=-s --driver-name g++ -s \
--entry _DllMainCRTStartup@12 --target=i386-mingw32
boost_python_test.pyd: $(OBJ) comprehensive.o
dllwrap $(DLLWRAPOPTS) \
--dllname boost_python_test.pyd \
--def boost_python_test.def \
$(OBJ) comprehensive.o $(PYLIB)
abstract.pyd: $(OBJ) abstract.o
dllwrap $(DLLWRAPOPTS) \
--dllname abstract.pyd \
--def abstract.def \
$(OBJ) abstract.o $(PYLIB)
getting_started1.pyd: $(OBJ) getting_started1.o
dllwrap $(DLLWRAPOPTS) \
--dllname getting_started1.pyd \
--def getting_started1.def \
$(OBJ) getting_started1.o $(PYLIB)
getting_started2.pyd: $(OBJ) getting_started2.o
dllwrap $(DLLWRAPOPTS) \
--dllname getting_started2.pyd \
--def getting_started2.def \
$(OBJ) getting_started2.o $(PYLIB)
simple_vector.pyd: $(OBJ) simple_vector.o
dllwrap $(DLLWRAPOPTS) \
--dllname simple_vector.pyd \
--def simple_vector.def \
$(OBJ) simple_vector.o $(PYLIB)
do_it_yourself_convts.pyd: $(OBJ) do_it_yourself_convts.o
dllwrap $(DLLWRAPOPTS) \
--dllname do_it_yourself_convts.pyd \
--def do_it_yourself_convts.def \
$(OBJ) do_it_yourself_convts.o $(PYLIB)
nested.pyd: $(OBJ) nested.o
dllwrap $(DLLWRAPOPTS) \
--dllname nested.pyd \
--def nested.def \
$(OBJ) nested.o $(PYLIB)
pickle1.pyd: $(OBJ) pickle1.o
dllwrap $(DLLWRAPOPTS) \
--dllname pickle1.pyd \
--def pickle1.def \
$(OBJ) pickle1.o $(PYLIB)
pickle2.pyd: $(OBJ) pickle2.o
dllwrap $(DLLWRAPOPTS) \
--dllname pickle2.pyd \
--def pickle2.def \
$(OBJ) pickle2.o $(PYLIB)
pickle3.pyd: $(OBJ) pickle3.o
dllwrap $(DLLWRAPOPTS) \
--dllname pickle3.pyd \
--def pickle3.def \
$(OBJ) pickle3.o $(PYLIB)
noncopyable_export.pyd: $(OBJ) noncopyable_export.o
dllwrap $(DLLWRAPOPTS) \
--dllname noncopyable_export.pyd \
--def noncopyable_export.def \
$(OBJ) noncopyable_export.o $(PYLIB)
noncopyable_import.pyd: $(OBJ) noncopyable_import.o
dllwrap $(DLLWRAPOPTS) \
--dllname noncopyable_import.pyd \
--def noncopyable_import.def \
$(OBJ) noncopyable_import.o $(PYLIB)
ivect.pyd: $(OBJ) ivect.o
dllwrap $(DLLWRAPOPTS) \
--dllname ivect.pyd \
--def ivect.def \
$(OBJ) ivect.o $(PYLIB)
dvect.pyd: $(OBJ) dvect.o
dllwrap $(DLLWRAPOPTS) \
--dllname dvect.pyd \
--def dvect.def \
$(OBJ) dvect.o $(PYLIB)
richcmp1.pyd: $(OBJ) richcmp1.o
dllwrap $(DLLWRAPOPTS) \
--dllname richcmp1.pyd \
--def richcmp1.def \
$(OBJ) richcmp1.o $(PYLIB)
richcmp2.pyd: $(OBJ) richcmp2.o
dllwrap $(DLLWRAPOPTS) \
--dllname richcmp2.pyd \
--def richcmp2.def \
$(OBJ) richcmp2.o $(PYLIB)
richcmp3.pyd: $(OBJ) richcmp3.o
dllwrap $(DLLWRAPOPTS) \
--dllname richcmp3.pyd \
--def richcmp3.def \
$(OBJ) richcmp3.o $(PYLIB)
.cpp.o:
$(CPP) $(CPPOPTS) -c $*.cpp
test:
# $(PYEXE) comprehensive.py
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
-del *.o
-del *.a
-del *.pyd
-del *.pyc
softlinks:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) softlinks
unlink:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) unlink
cp:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) cp
rm:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) rm
copy:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) copy
del:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) del

Binary file not shown.

199
build/tru64_cxx.mak Normal file
View File

@@ -0,0 +1,199 @@
# Usage:
#
# Create a new empty directory anywhere (preferably not in the boost tree).
# Copy this Makefile to that new directory and rename it to "Makefile"
# Adjust the pathnames below.
#
# make softlinks Create softlinks to source code and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make unlink Remove softlinks
#
# Revision history:
# 12 Apr 01 new macro ROOT to simplify configuration (R.W. Grosse-Kunstleve)
# Initial version: R.W. Grosse-Kunstleve
ROOT=$(HOME)
BOOST=$(ROOT)/boost
#PYEXE=PYTHONPATH=. /usr/local/Python-1.5.2/bin/python
#PYINC=-I/usr/local/Python-1.5.2/include/python1.5
PYEXE=PYTHONPATH=. /usr/local_cci/Python-2.1.1/bin/python
PYINC=-I/usr/local_cci/Python-2.1.1/include/python2.1
#STLPORTINC=-I/usr/local/STLport-4.1b3/stlport
#STLPORTINC=-I/usr/local/STLport-4.1b4/stlport
#STLPORTOPTS= \
# -D__USE_STD_IOSTREAM \
# -D__STL_NO_SGI_IOSTREAMS \
# -D__STL_USE_NATIVE_STRING \
# -D__STL_NO_NEW_C_HEADERS \
# -D_RWSTD_COMPILE_INSTANTIATE=1
STLPORTINC=-I$(BOOST)/boost/compatibility/cpp_c_headers
STDOPTS=-std strict_ansi
# use -msg_display_number to obtain integer tags for -msg_disable
WARNOPTS=-msg_disable 186,450,1115
OPTOPTS=-g
CPP=cxx
CPPOPTS=$(STLPORTINC) $(STLPORTOPTS) -I$(BOOST) $(PYINC) \
$(STDOPTS) $(WARNOPTS) $(OPTOPTS)
MAKEDEP=-Em
LD=cxx
LDOPTS=-shared -expect_unresolved 'Py*' -expect_unresolved '_Py*'
#HIDDEN=-hidden
OBJ=classes.o conversions.o errors.o extension_class.o functions.o \
init_function.o module_builder.o \
objects.o types.o cross_module.o
DEPOBJ=$(OBJ) \
comprehensive.o \
abstract.o \
getting_started1.o getting_started2.o \
simple_vector.o \
do_it_yourself_convts.o \
nested.o \
pickle1.o pickle2.o pickle3.o \
noncopyable_export.o noncopyable_import.o \
ivect.o dvect.o \
richcmp1.o richcmp2.o richcmp3.o
.SUFFIXES: .o .cpp
all: libboost_python.a \
boost_python_test.so \
abstract.so \
getting_started1.so getting_started2.so \
simple_vector.so \
do_it_yourself_convts.so \
nested.so \
pickle1.so pickle2.so pickle3.so \
noncopyable_export.so noncopyable_import.so \
ivect.so dvect.so \
richcmp1.so richcmp2.so richcmp3.so
libboost_python.a: $(OBJ)
rm -f libboost_python.a
cd cxx_repository; \
ls -1 > ../libboost_python.a.input; \
ar r ../libboost_python.a -input ../libboost_python.a.input
rm -f libboost_python.a.input
ar r libboost_python.a $(OBJ)
boost_python_test.so: $(OBJ) comprehensive.o
$(LD) $(LDOPTS) $(OBJ) comprehensive.o -o boost_python_test.so -lm
abstract.so: $(OBJ) abstract.o
$(LD) $(LDOPTS) $(OBJ) abstract.o -o abstract.so
getting_started1.so: $(OBJ) getting_started1.o
$(LD) $(LDOPTS) $(OBJ) getting_started1.o -o getting_started1.so
getting_started2.so: $(OBJ) getting_started2.o
$(LD) $(LDOPTS) $(OBJ) getting_started2.o -o getting_started2.so
simple_vector.so: $(OBJ) simple_vector.o
$(LD) $(LDOPTS) $(OBJ) simple_vector.o -o simple_vector.so
do_it_yourself_convts.so: $(OBJ) do_it_yourself_convts.o
$(LD) $(LDOPTS) $(OBJ) do_it_yourself_convts.o -o do_it_yourself_convts.so
nested.so: $(OBJ) nested.o
$(LD) $(LDOPTS) $(OBJ) nested.o -o nested.so
pickle1.so: $(OBJ) pickle1.o
$(LD) $(LDOPTS) $(OBJ) pickle1.o -o pickle1.so
pickle2.so: $(OBJ) pickle2.o
$(LD) $(LDOPTS) $(OBJ) pickle2.o -o pickle2.so
pickle3.so: $(OBJ) pickle3.o
$(LD) $(LDOPTS) $(OBJ) pickle3.o -o pickle3.so
noncopyable_export.so: $(OBJ) noncopyable_export.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_export.o -o noncopyable_export.so
noncopyable_import.so: $(OBJ) noncopyable_import.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) \
noncopyable_import.o -o noncopyable_import.so
ivect.so: $(OBJ) ivect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) ivect.o -o ivect.so
dvect.so: $(OBJ) dvect.o
$(LD) $(LDOPTS) $(OBJ) $(HIDDEN) dvect.o -o dvect.so
richcmp1.so: $(OBJ) richcmp1.o
$(LD) $(LDOPTS) $(OBJ) richcmp1.o -o richcmp1.so
richcmp2.so: $(OBJ) richcmp2.o
$(LD) $(LDOPTS) $(OBJ) richcmp2.o -o richcmp2.so
richcmp3.so: $(OBJ) richcmp3.o
$(LD) $(LDOPTS) $(OBJ) richcmp3.o -o richcmp3.so
.cpp.o:
$(CPP) $(CPPOPTS) -c $*.cpp
test:
$(PYEXE) comprehensive.py
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
rm -f $(OBJ) libboost_python.a libboost_python.a.input
rm -f comprehensive.o boost_python_test.so
rm -f abstract.o abstract.so
rm -f getting_started1.o getting_started1.so
rm -f getting_started2.o getting_started2.so
rm -f simple_vector.o simple_vector.so
rm -f do_it_yourself_convts.o do_it_yourself_convts.so
rm -f nested.o nested.so
rm -f pickle1.o pickle1.so
rm -f pickle2.o pickle2.so
rm -f pickle3.o pickle3.so
rm -f noncopyable_export.o noncopyable_export.so
rm -f noncopyable_import.o noncopyable_import.so
rm -f ivect.o ivect.so
rm -f dvect.o dvect.so
rm -f richcmp1.o richcmp1.so
rm -f richcmp2.o richcmp2.so
rm -f richcmp3.o richcmp3.so
rm -f so_locations *.pyc
rm -rf cxx_repository
softlinks:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) softlinks
unlink:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) unlink
cp:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) cp
rm:
$(PYEXE) $(BOOST)/libs/python/build/filemgr.py $(BOOST) rm
depend:
@ cat Makefile.nodepend; \
for obj in $(DEPOBJ); \
do \
bn=`echo "$$obj" | cut -d. -f1`; \
$(CPP) $(CPPOPTS) $(MAKEDEP) "$$bn".cpp; \
done

154
build/vc60.mak Normal file
View File

@@ -0,0 +1,154 @@
# Usage:
#
# Create a new empty directory anywhere (preferably not in the boost tree).
# Copy this Makefile to that new directory and rename it to "Makefile"
# Adjust the pathnames below.
#
# make copy Copy the sources and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make del Remove the sources and tests
#
# Revision history:
# 12 Apr 01 new macro ROOT to simplify configuration (R.W. Grosse-Kunstleve)
# Initial version: R.W. Grosse-Kunstleve
ROOT=R:
BOOST_WIN="$(ROOT)\boost"
BOOST_UNIX=$(HOME)/boost
#PYEXE="C:\Program files\Python\python.exe"
#PYINC=/I"C:\Program files\Python\include"
#PYLIB="C:\Program files\Python\libs\python15.lib"
PYEXE="C:\Python21\python.exe"
PYINC=/I"C:\Python21\include"
PYLIB="C:\Python21\libs\python21.lib"
STDOPTS=/nologo /MD /GR /GX /Zm300 /DBOOST_PYTHON_STATIC_LIB
WARNOPTS=
OPTOPTS=
CPP=cl.exe
CPPOPTS=$(STLPORTINC) $(STLPORTOPTS) /I$(BOOST_WIN) $(PYINC) \
$(STDOPTS) $(WARNOPTS) $(OPTOPTS)
LD=link.exe
LDOPTS=/nologo /dll /incremental:no
OBJ=classes.obj conversions.obj errors.obj extension_class.obj functions.obj \
init_function.obj module_builder.obj \
objects.obj types.obj cross_module.obj
.SUFFIXES: .obj .cpp
all: boost_python.lib \
boost_python_test.pyd \
abstract.pyd \
getting_started1.pyd getting_started2.pyd \
simple_vector.pyd \
do_it_yourself_convts.pyd \
nested.pyd \
pickle1.pyd pickle2.pyd pickle3.pyd \
noncopyable_export.pyd noncopyable_import.pyd \
ivect.pyd dvect.pyd \
richcmp1.pyd richcmp2.pyd richcmp3.pyd
boost_python.lib: $(OBJ)
$(LD) -lib /nologo /out:boost_python.lib $(OBJ)
boost_python_test.pyd: $(OBJ) comprehensive.obj
$(LD) $(LDOPTS) $(OBJ) comprehensive.obj $(PYLIB) /export:initboost_python_test /out:"boost_python_test.pyd"
abstract.pyd: $(OBJ) abstract.obj
$(LD) $(LDOPTS) $(OBJ) abstract.obj $(PYLIB) /export:initabstract /out:"abstract.pyd"
getting_started1.pyd: $(OBJ) getting_started1.obj
$(LD) $(LDOPTS) $(OBJ) getting_started1.obj $(PYLIB) /export:initgetting_started1 /out:"getting_started1.pyd"
getting_started2.pyd: $(OBJ) getting_started2.obj
$(LD) $(LDOPTS) $(OBJ) getting_started2.obj $(PYLIB) /export:initgetting_started2 /out:"getting_started2.pyd"
simple_vector.pyd: $(OBJ) simple_vector.obj
$(LD) $(LDOPTS) $(OBJ) simple_vector.obj $(PYLIB) /export:initsimple_vector /out:"simple_vector.pyd"
do_it_yourself_convts.pyd: $(OBJ) do_it_yourself_convts.obj
$(LD) $(LDOPTS) $(OBJ) do_it_yourself_convts.obj $(PYLIB) /export:initdo_it_yourself_convts /out:"do_it_yourself_convts.pyd"
nested.pyd: $(OBJ) nested.obj
$(LD) $(LDOPTS) $(OBJ) nested.obj $(PYLIB) /export:initnested /out:"nested.pyd"
pickle1.pyd: $(OBJ) pickle1.obj
$(LD) $(LDOPTS) $(OBJ) pickle1.obj $(PYLIB) /export:initpickle1 /out:"pickle1.pyd"
pickle2.pyd: $(OBJ) pickle2.obj
$(LD) $(LDOPTS) $(OBJ) pickle2.obj $(PYLIB) /export:initpickle2 /out:"pickle2.pyd"
pickle3.pyd: $(OBJ) pickle3.obj
$(LD) $(LDOPTS) $(OBJ) pickle3.obj $(PYLIB) /export:initpickle3 /out:"pickle3.pyd"
noncopyable_export.pyd: $(OBJ) noncopyable_export.obj
$(LD) $(LDOPTS) $(OBJ) noncopyable_export.obj $(PYLIB) /export:initnoncopyable_export /out:"noncopyable_export.pyd"
noncopyable_import.pyd: $(OBJ) noncopyable_import.obj
$(LD) $(LDOPTS) $(OBJ) noncopyable_import.obj $(PYLIB) /export:initnoncopyable_import /out:"noncopyable_import.pyd"
ivect.pyd: $(OBJ) ivect.obj
$(LD) $(LDOPTS) $(OBJ) ivect.obj $(PYLIB) /export:initivect /out:"ivect.pyd"
dvect.pyd: $(OBJ) dvect.obj
$(LD) $(LDOPTS) $(OBJ) dvect.obj $(PYLIB) /export:initdvect /out:"dvect.pyd"
richcmp1.pyd: $(OBJ) richcmp1.obj
$(LD) $(LDOPTS) $(OBJ) richcmp1.obj $(PYLIB) /export:initrichcmp1 /out:"richcmp1.pyd"
richcmp2.pyd: $(OBJ) richcmp2.obj
$(LD) $(LDOPTS) $(OBJ) richcmp2.obj $(PYLIB) /export:initrichcmp2 /out:"richcmp2.pyd"
richcmp3.pyd: $(OBJ) richcmp3.obj
$(LD) $(LDOPTS) $(OBJ) richcmp3.obj $(PYLIB) /export:initrichcmp3 /out:"richcmp3.pyd"
.cpp.obj:
$(CPP) $(CPPOPTS) /c $*.cpp
test:
$(PYEXE) comprehensive.py --broken-auto-ptr
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py --broken-auto-ptr
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
-del *.obj
-del *.lib
-del *.exp
-del *.idb
-del *.pyd
-del *.pyc
softlinks:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) softlinks
unlink:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) unlink
cp:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) cp
rm:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) rm
copy:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) copy
del:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) del

149
build/win32_mwcc.mak Executable file
View File

@@ -0,0 +1,149 @@
# Usage:
#
# make copy Copy the sources and tests
# make Compile all sources
# make test Run doctest tests
# make clean Remove all object files
# make del Remove the sources and tests
#
# Revision history:
# 14 Dec 01 derived from vc60.mak (R.W. Grosse-Kunstleve)
ROOT=R:
BOOST_WIN="$(ROOT)\boost"
BOOST_UNIX=$(HOME)/boost
#PYEXE="C:\Program files\Python\python.exe"
#PYINC=-I"C:\Program files\Python\include"
#PYLIB="C:\Program files\Python\libs\python15.lib"
PYEXE="C:\Python21\python.exe"
PYINC=-I"C:\Python21\include"
PYLIB="C:\Python21\libs\python21.lib"
STDOPTS=-gccinc -prefix UseDLLPrefix.h -DBOOST_PYTHON_STATIC_LIB
WARNOPTS=-warn on,nounusedexpr,nounused
OPTOPTS=-O
CPP=mwcc
CPPOPTS=$(STDOPTS) $(WARNOPTS) $(OPTOPTS) \
$(STLPORTINC) $(STLPORTOPTS) -I$(BOOST_WIN) $(PYINC)
LD=mwld
LDOPTS=-export dllexport -shared
OBJ=classes.obj conversions.obj errors.obj extension_class.obj functions.obj \
init_function.obj module_builder.obj \
objects.obj types.obj cross_module.obj
.SUFFIXES: .obj .cpp
all: libboost_python.lib \
boost_python_test.pyd \
abstract.pyd \
getting_started1.pyd getting_started2.pyd \
simple_vector.pyd \
do_it_yourself_convts.pyd \
nested.pyd \
pickle1.pyd pickle2.pyd pickle3.pyd \
noncopyable_export.pyd noncopyable_import.pyd \
ivect.pyd dvect.pyd \
richcmp1.pyd richcmp2.pyd richcmp3.pyd
libboost_python.lib: $(OBJ)
$(LD) -library -o libboost_python.lib $(OBJ)
boost_python_test.pyd: $(OBJ) comprehensive.obj
$(LD) $(LDOPTS) $(OBJ) comprehensive.obj $(PYLIB) -o boost_python_test.pyd
abstract.pyd: $(OBJ) abstract.obj
$(LD) $(LDOPTS) $(OBJ) abstract.obj $(PYLIB) -o abstract.pyd
getting_started1.pyd: $(OBJ) getting_started1.obj
$(LD) $(LDOPTS) $(OBJ) getting_started1.obj $(PYLIB) -o getting_started1.pyd
getting_started2.pyd: $(OBJ) getting_started2.obj
$(LD) $(LDOPTS) $(OBJ) getting_started2.obj $(PYLIB) -o getting_started2.pyd
simple_vector.pyd: $(OBJ) simple_vector.obj
$(LD) $(LDOPTS) $(OBJ) simple_vector.obj $(PYLIB) -o simple_vector.pyd
do_it_yourself_convts.pyd: $(OBJ) do_it_yourself_convts.obj
$(LD) $(LDOPTS) $(OBJ) do_it_yourself_convts.obj $(PYLIB) -o do_it_yourself_convts.pyd
nested.pyd: $(OBJ) nested.obj
$(LD) $(LDOPTS) $(OBJ) nested.obj $(PYLIB) -o nested.pyd
pickle1.pyd: $(OBJ) pickle1.obj
$(LD) $(LDOPTS) $(OBJ) pickle1.obj $(PYLIB) -o pickle1.pyd
pickle2.pyd: $(OBJ) pickle2.obj
$(LD) $(LDOPTS) $(OBJ) pickle2.obj $(PYLIB) -o pickle2.pyd
pickle3.pyd: $(OBJ) pickle3.obj
$(LD) $(LDOPTS) $(OBJ) pickle3.obj $(PYLIB) -o pickle3.pyd
noncopyable_export.pyd: $(OBJ) noncopyable_export.obj
$(LD) $(LDOPTS) $(OBJ) noncopyable_export.obj $(PYLIB) -o noncopyable_export.pyd
noncopyable_import.pyd: $(OBJ) noncopyable_import.obj
$(LD) $(LDOPTS) $(OBJ) noncopyable_import.obj $(PYLIB) -o noncopyable_import.pyd
ivect.pyd: $(OBJ) ivect.obj
$(LD) $(LDOPTS) $(OBJ) ivect.obj $(PYLIB) -o ivect.pyd
dvect.pyd: $(OBJ) dvect.obj
$(LD) $(LDOPTS) $(OBJ) dvect.obj $(PYLIB) -o dvect.pyd
richcmp1.pyd: $(OBJ) richcmp1.obj
$(LD) $(LDOPTS) $(OBJ) richcmp1.obj $(PYLIB) -o richcmp1.pyd
richcmp2.pyd: $(OBJ) richcmp2.obj
$(LD) $(LDOPTS) $(OBJ) richcmp2.obj $(PYLIB) -o richcmp2.pyd
richcmp3.pyd: $(OBJ) richcmp3.obj
$(LD) $(LDOPTS) $(OBJ) richcmp3.obj $(PYLIB) -o richcmp3.pyd
.cpp.obj:
$(CPP) $(CPPOPTS) -c $*.cpp
test:
$(PYEXE) comprehensive.py
$(PYEXE) test_abstract.py
$(PYEXE) test_getting_started1.py
$(PYEXE) test_getting_started2.py
$(PYEXE) test_simple_vector.py
$(PYEXE) test_do_it_yourself_convts.py
$(PYEXE) test_nested.py
$(PYEXE) test_pickle1.py
$(PYEXE) test_pickle2.py
$(PYEXE) test_pickle3.py
$(PYEXE) test_cross_module.py
$(PYEXE) test_richcmp1.py
$(PYEXE) test_richcmp2.py
$(PYEXE) test_richcmp3.py
clean:
-del *.obj
-del *.lib
-del *.exp
-del *.idb
-del *.pyd
-del *.pyc
softlinks:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) softlinks
unlink:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) unlink
cp:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) cp
rm:
python $(BOOST_UNIX)/libs/python/build/filemgr.py $(BOOST_UNIX) rm
copy:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) copy
del:
$(PYEXE) $(BOOST_WIN)\libs\python\build\filemgr.py $(BOOST_WIN) del

2
build/win32_mwcc_setup.bat Executable file
View File

@@ -0,0 +1,2 @@
call "c:\program files\metrowerks\codewarrior\other metrowerks tools\command line tools\cwenv.bat"
set MWWinx86LibraryFiles=MSL_All-DLL_x86.lib;gdi32.lib;user32.lib;kernel32.lib

View File

@@ -1,297 +1,222 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="boost.css">
<meta name="generator" content="HTML Tidy, see www.w3.org">
<title>Boost.Python - Building and Testing</title>
</head>
<title>Building an Extension Module</title>
<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>
<div>
<h1><img width="277" height="86" align="center" src=
"../../../c++boost.gif" alt="c++boost.gif (8819 bytes)">Building an
Extension Module</h1>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2>Building Boost.Python</h2>
<h2 align="center">Building and Testing</h2>
</td>
</tr>
</table>
<hr>
<p>Every Boost.Python extension module must be linked with the
<code>boost_python</code> shared library. To build
<code>boost_python</code>, use <a
href="../../../tools/build/index.html">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).
<h2>Contents</h2>
<dl class="Reference">
<dt><a href="#requirements">Requirements</a></dt>
<dt><a href="#building">Building Boost.Python</a></dt>
<dd>
<dl class="index">
<dt><a href="#configuration">Configuration</a></dt>
<dt><a href="#results">Results</a></dt>
<dt><a href="#testing">Testing</a></dt>
</dl>
</dd>
<dt><a href="#building_ext">Building your Extension Module</a></dt>
<dt><a href="#variants">Build Variants</a></dt>
</dl>
<hr>
<h2><a name="requirements">Requirements</a></h2>
<b>Boost.Python</b> version 2 requires <a href=
"http://www.python.org/2.2">Python 2.2</a> <i>or <a href=
"http://www.python.org">newer</a></i>. An unsupported archive of
Boost.Python version 1, which works with versions of Python since 1.5.2,
is available <a href="../build/python_v1.zip">here</a>.
<h2><a name="building">Building Boost.Python</a></h2>
<p>Every Boost.Python extension module must be linked with the
<code>boost_python</code> shared library. To build
<code>boost_python</code>, use <a href=
"../../../tools/build/index.html">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">Configuration</a></h3>
You may need to configure the following variables to point Boost.Build at
your Python installation:
<table border="1" summary="build configuration variables">
<tr>
<th>Variable Name</th>
<th>Semantics</th>
<th>Default</th>
<th>Notes</th>
</tr>
<tr>
<td><code>PYTHON_ROOT</code></td>
<td>The root directory of your Python installation</td>
<h3>Configuration</h3>
You may need to configure the following variables to point Boost.Build at your Python installation:
<table border="1">
<tr><th>Variable Name <th>Semantics <th>Default <th>Notes
<tr>
<td><code>PYTHON_ROOT</code>
<td>The root directory of your Python installation
<td>Windows:&nbsp;<code>c:/tools/python</code>
Unix:&nbsp;<code>/usr/local</code></td>
<td>On Unix, this is the <code>--with-prefix=</code> directory used
to configure Python</td>
</tr>
<tr>
<td><code>PYTHON_VERSION</code></td>
<td>The The 2-part python Major.Minor version number</td>
<td><code>2.2</code></td>
Unix:&nbsp;<code>/usr/local</code>
<td>On Unix, this is the <code>--with-prefix=</code> directory
used to configure Python
<tr>
<td><code>PYTHON_VERSION</code>
<td>The The 2-part python Major.Minor version number
<td>Windows:&nbsp;<code>2.1</code>
Unix:&nbsp;<code>1.5</code>
<td>Be sure not to include a third number, e.g. <b>not</b>
"<code>2.2.1</code>", even if that's the version you have.</td>
</tr>
&quot;<code>2.2.1</code>&quot;, even if that's the version you
have.
<tr>
<td><code>PYTHON_INCLUDES</code></td>
<tr>
<td><code>PYTHON_INCLUDES</code>
<td>path to Python <code>#include</code> directories
<td>Autoconfigured from <code>PYTHON_ROOT</code>
<td>path to Python <code>#include</code> directories</td>
<tr>
<td><code>PYTHON_LIB_PATH</code>
<td>path to Python library object.
<td>Autoconfigured from <code>PYTHON_ROOT</code>
<td>Autoconfigured from <code>PYTHON_ROOT</code></td>
</tr>
<tr>
<td><code>PYTHON_LIB_PATH</code></td>
<td>path to Python library object.</td>
<td>Autoconfigured from <code>PYTHON_ROOT</code></td>
</tr>
<tr>
<td><code>PYTHON_STDLIB_PATH</code></td>
<td>path to Python standard library modules</td>
<td>Autoconfigured from <code>PYTHON_ROOT</code></td>
</tr>
<tr>
<td><code>CYGWIN_ROOT</code></td>
<td>path to the user's Cygwin installation</td>
<tr>
<td><code>PYTHON_STDLIB_PATH</code>
<td>path to Python standard library modules
<td>Autoconfigured from <code>PYTHON_ROOT</code>
<tr>
<td><code>CYGWIN_ROOT</code>
<td>path to the user's Cygwin installation
<td>
</td>
<td><a href="http://www.cygwin.com">Cygwin</a> only. This and the following two settings are
useful when building with multiple toolsets on Windows, since
Cygwin requires a different build of Python.
<td><a href="http://www.cygwin.com">Cygwin</a> only. This and the
following two settings are useful when building with multiple
toolsets on Windows, since Cygwin requires a different build of
Python.</td>
</tr>
<tr>
<td><code>GCC_PYTHON_ROOT</code>
<td>path to the user's Cygwin Python installation
<td><code>$(CYGWIN_ROOT)/usr/local</code>
<td><a href="http://www.cygwin.com">Cygwin</a> only
<tr>
<td><code>GCC_PYTHON_ROOT</code></td>
<tr>
<td><code>GCC_DEBUG_PYTHON_ROOT</code>
<td>path to the user's Cygwin <code><a
href="#variants">pydebug</a></code> build
<td><code>$(CYGWIN_ROOT)/usr/local/pydebug</code>
<td><a href="http://www.cygwin.com">Cygwin</a> only
<td>path to the user's Cygwin Python installation</td>
</table>
<td><code>$(CYGWIN_ROOT)/usr/local</code></td>
<h3>Results</h3>
<p>The build process will create a
<code>libs/python/build/bin-stage</code> subdirectory of the
boost root (or of <code>$(ALL_LOCATE_TARGET)</code>,
if you have set that variable), containing the built
libraries. The libraries are actually built to unique
directories for each toolset and variant elsewhere in the
filesystem, and copied to the
<code>bin-stage</code> directory as a convenience, so if you
build with multiple toolsets at once, the product of later
toolsets will overwrite that of earlier toolsets in
<code>bin-stage</code>.
<td><a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
<tr>
<td><code>GCC_DEBUG_PYTHON_ROOT</code></td>
<td>path to the user's Cygwin <code><a href=
"#variants">pydebug</a></code> build</td>
<td><code>$(CYGWIN_ROOT)/usr/local/pydebug</code></td>
<td><a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
</table>
<h3><a name="results">Results</a></h3>
<p>The build process will create a
<code>libs/python/build/bin-stage</code> subdirectory of the boost root
(or of <code>$(ALL_LOCATE_TARGET)</code>, if you have set that variable),
containing the built libraries. The libraries are actually built to
unique directories for each toolset and variant elsewhere in the
filesystem, and copied to the <code>bin-stage</code> directory as a
convenience, so if you build with multiple toolsets at once, the product
of later toolsets will overwrite that of earlier toolsets in
<code>bin-stage</code>.</p>
<h3><a name="testing">Testing</a></h3>
<p>To build and test Boost.Python, start from the
<code>libs/python/test</code> directory and invoke</p>
<blockquote>
<h3>Testing</h3>
<p>To build and test Boost.Python from within the
<code>libs/python/build</code> directory, invoke
<blockquote>
<pre>
bjam -sTOOLS=<i><a href=
"../../../tools/build/index.html#Tools">toolset</a></i> test
bjam -sTOOLS=<i><a href="../../../tools/build/index.html#Tools">toolset</a></i> test
</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
might try
<blockquote>
</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 might try
<blockquote>
<pre>
bjam -sTOOLS=<i><a href=
"../../../tools/build/index.html#Tools">toolset</a></i> -sPYTHON_TEST_ARGS=-v test
bjam -sTOOLS=<i><a href="../../../tools/build/index.html#Tools">toolset</a></i> -sPYTHON_TEST_ARGS=-v test
</pre>
</blockquote>
which will print each test's Python code with the expected output as it
passes.
</blockquote>
which will print each test's Python code with the expected output as
it passes.
<h2><a name="building_ext">Building your Extension Module</a></h2>
Though there are other approaches, the easiest way to build an extension
module using Boost.Python is with Boost.Build. Until Boost.Build v2 is
released, cross-project build dependencies are not supported, so it works
most smoothly if you add a new subproject to your boost installation. The
<code>libs/python/example</code> subdirectory of your boost installation
contains a minimal example (along with many extra sources). To copy the
example subproject:
<h2>Building your Extension Module</h2>
<ol>
Though there are other approaches, the easiest way to build an
extension module using Boost.Python is with Boost.Build. Until
Boost.Build v2 is released, cross-project build dependencies are
not supported, so it works most smoothly if you add a new
subproject to your boost installation. The
<code>libs/python/example</code> subdirectory of your boost
installation contains a minimal example (along with many extra
sources). To copy the example subproject:
<ol>
<li>Create a new subdirectory in, <code>libs/python</code>, say
<code>libs/python/my_project</code>.</li>
<code>libs/python/my_project</code>.
<li>Copy <code><a href=
"../example/Jamfile">libs/python/example/Jamfile</a></code> to your new
directory.</li>
<li>Copy <code><a
href="../example/Jamfile">libs/python/example/Jamfile</a></code>
to your new directory.
<li>Edit the Jamfile as appropriate for your project. You'll want to
change the "<code>subproject</code>" rule invocation at the top, and
the names of some of the source files and/or targets.</li>
</ol>
If you can't modify or copy your boost installation, the alternative is
to create your own Boost.Build project. A similar example you can use as
a starting point is available in <code><a href=
"../example/project.zip">this archive</a></code>. You'll need to edit the
Jamfile and Jamrules files, depending on the relative location of your
Boost installation and the new project. Note that automatic testing of
extension modules is not available in this configuration.
<li>Edit the Jamfile as appropriate for your project. You'll
want to change the &quot;<code>subproject</code>&quot; rule
invocation at the top, and the names of some of the source files
and/or targets.
<h2><a name="variants">Build Variants</a></h2>
Three <a href=
"../../../tools/build/build_system.htm#variants">variant</a>
configurations of all python-related targets are supported, and can be
selected by setting the <code><a href=
"../../../tools/build/build_system.htm#user_globals">BUILD</a></code>
variable:
</ol>
<ul>
<li><code>release</code> (optimization, <tt>-DNDEBUG</tt>)</li>
If you can't modify or copy your boost installation, the
alternative is to create your own Boost.Build project. A similar
example you can use as a starting point is available in <code><a
href="../example/project.zip">this archive</a></code>. You'll
need to edit the Jamfile and Jamrules files, depending on the
relative location of your Boost installation and the new
project. Note that automatic testing of extension modules is not
available in this configuration.
<li><code>debug</code> (no optimization <tt>-D_DEBUG</tt>)</li>
<h2><a name="variants">Build Variants</a></h2>
<li><code>debug-python</code> (no optimization, <tt>-D_DEBUG
-DBOOST_DEBUG_PYTHON</tt>)</li>
</ul>
Three <a
href="../../../tools/build/build_system.htm#variants">variant</a>
configurations of all python-related targets are supported, and
can be selected by setting the <code><a
href="../../../tools/build/build_system.htm#user_globals">BUILD</a></code>
variable:
<p>The first two variants of the <code>boost_python</code> library are
built by default, and are compatible with the default Python
distribution. The <code>debug-python</code> variant corresponds to a
specially-built debugging version of Python. On Unix platforms, this
python is built by adding <code>--with-pydebug</code> when configuring
the Python build. On Windows, the debugging version of Python is
generated by the "Win32 Debug" target of the <code>PCBuild.dsw</code>
Visual C++ 6.0 project in the <code>PCBuild</code> subdirectory of your
Python distribution. Extension modules built with Python debugging
enabled are <b>not link-compatible</b> with a non-debug build of Python.
Since few people actually have a debug build of Python (it doesn't come
with the standard distribution), the normal <code>debug</code> variant
builds modules which are compatible with ordinary Python.</p>
<ul>
<li><code>release</code> (optimization, <tt>-DNDEBUG</tt>)
<p>On many windows compilers, when extension modules are built with
<tt>-D_DEBUG</tt>, Python defaults to <i>force</i> linking with a special
debugging version of the Python DLL. Since this debug DLL isn't supplied
with the default Python installation for Windows, Boost.Python uses
<tt><a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a></tt>
to temporarily undefine <tt>_DEBUG</tt> when <tt>Python.h</tt> is
<tt>#include</tt>d - unless <code>BOOST_DEBUG_PYTHON</code> is
defined.</p>
<li><code>debug</code> (no optimization <tt>-D_DEBUG</tt>)
<p>If you want the extra runtime checks available with the debugging
version of the library, <tt>#define BOOST_DEBUG_PYTHON</tt> to re-enable
python debuggin, and link with the <code>debug-python</code> variant of
<tt>boost_python</tt>.</p>
<li><code>debug-python</code> (no optimization, <tt>-D_DEBUG
-DBOOST_DEBUG_PYTHON</tt>)
</ul>
<p>If you do not <tt>#define BOOST_DEBUG_PYTHON</tt>, be sure that any
source files in your extension module <tt>#include&nbsp;&lt;<a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a>&gt;</tt>
instead of the usual <tt>Python.h</tt>, or you will have link
incompatibilities.<br>
</p>
<hr>
<p>The first two variants of the <code>boost_python</code>
library are built by default, and are compatible with the
default Python distribution. The <code>debug-python</code>
variant corresponds to a specially-built debugging version of
Python. On Unix platforms, this python is built by adding
<code>--with-pydebug</code> when configuring the Python
build. On Windows, the debugging version of Python is generated
by the &quot;Win32 Debug&quot; target of the
<code>PCBuild.dsw</code> Visual C++ 6.0 project in the
<code>PCBuild</code> subdirectory of your Python distribution.
<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>
Extension modules built with Python debugging enabled are <b>not
link-compatible</b> with a non-debug build of Python. Since few
people actually have a debug build of Python (it doesn't come
with the standard distribution), the normal
<code>debug</code> variant builds modules which are compatible
with ordinary Python.
<p>Updated: O8 October, 2002 (David Abrahams)</p>
</body>
</html>
<p>On many windows compilers, when extension modules are built
with
<tt>-D_DEBUG</tt>, Python defaults to <i>force</i> linking with a
special debugging version of the Python DLL. Since this debug DLL
isn't supplied with the default Python installation for Windows,
Boost.Python uses <tt><a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a></tt>
to temporarily undefine <tt>_DEBUG</tt> when <tt>Python.h</tt> is
<tt>#include</tt>d - unless <code>BOOST_DEBUG_PYTHON</code> is defined.
<p>If you want the extra runtime checks available with the
debugging version of the library, <tt>#define
BOOST_DEBUG_PYTHON</tt> to re-enable python debuggin, and link
with the <code>debug-python</code> variant of
<tt>boost_python</tt>.
<p>If you do not <tt>#define BOOST_DEBUG_PYTHON</tt>, be sure that
any source files in your extension module <tt>#include &lt;<a href=
"../../../boost/python/detail/wrap_python.hpp">boost/python/detail/wrap_python.hpp</a>&gt;</tt>
instead of the usual <tt>Python.h</tt>, or you will have link
incompatibilities.<br>
<hr>
Next: <a href="enums.html">Wrapping Enums</a> Previous: <a href=
"under-the-hood.html">A Peek Under the Hood</a> Up: <a href=
"index.html">Top</a>
<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>Updated: May 15, 2002 (David Abrahams)
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Comparisons with Other Systems
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="center"
src="../../../c++boost.gif" alt= "c++boost.gif (8819 bytes)"><br>
Comparisons with
Other Systems
</h1>
<h2>CXX</h2>
<p>
Like Boost.Python, <a href="http://cxx.sourceforge.net/">CXX</a> attempts to
provide a C++-oriented interface to Python. In most cases, as with the
boost library, it relieves the user from worrying about
reference-counts. Both libraries automatically convert thrown C++
exceptions into Python exceptions. As far as I can tell, CXX has no
support for subclassing C++ extension types in Python. An even
more significant difference is that a user's C++ code is still basically
``dealing with Python objects'', though they are wrapped in
C++ classes. This means such jobs as argument parsing and conversion are
still left to be done explicitly by the user.
<p>
CXX claims to interoperate well with the C++ Standard Library
(a.k.a. STL) by providing iterators into Python Lists and Dictionaries,
but the claim is unfortunately unsupportable. The problem is that in
general, access to Python sequence and mapping elements through
iterators requires the use of proxy objects as the return value of
iterator dereference operations. This usage conflicts with the basic
ForwardIterator requirements in <a
href="http://anubis.dkuug.dk/jtc1/sc22/open/n2356/lib-iterators.html#lib.forward.iterators">
section 24.1.3 of the standard</a> (dereferencing must produce a
reference). Although you may be able to use these iterators with some
operations in some standard library implementations, it is neither
guaranteed to work nor portable.
<p>
As far as I can tell, CXX enables one to write what is essentially
idiomatic Python code in C++, manipulating Python objects through the
same fully-generic interfaces we use in Python. While you're hardly
programming directly to the ``bare metal'' with CXX, it basically
presents a ``C++-ized'' version of the Python 'C' API. Some fraction of
that capability is available in Boost.Python through <tt><a
href="../../../boost/python/objects.hpp">boost/python/objects.hpp</a></tt>,
which provides C++ objects corresponding to Python lists, tuples,
strings, and dictionaries, and through <tt><a
href="../../../boost/python/callback.hpp">boost/python/callback.hpp</a></tt>,
which allows you to call back into python with C++ arguments.
<p>
<a href="mailto:dubois1@llnl.gov">Paul F. Dubois</a>, the original
author of CXX, has told me that what I've described is only half of the
picture with CXX, but I never understood his explanation well-enough to
fill in the other half. Here is his response to the commentary above:
<blockquote>
``My intention with CXX was not to do what you are doing. It was to enable a
person to write an extension directly in C++ rather than C. I figured others had
the wrapping business covered. I thought maybe CXX would provide an easier
target language for those making wrappers, but I never explored
that.''<br><i>-<a href="mailto:dubois1@llnl.gov">Paul Dubois</a></i>
</blockquote>
<h2>SWIG</h2>
<p>
<a href= "http://www.swig.org/">SWIG</a> is an impressively mature tool
for exporting an existing ANSI 'C' interface into various scripting
languages. Swig relies on a parser to read your source code and produce
additional source code files which can be compiled into a Python (or
Perl or Tcl) extension module. It has been successfully used to create
many Python extension modules. Like Boost.Python, SWIG is trying to allow an
existing interface to be wrapped with little or no change to the
existing code. The documentation says ``SWIG parses a form of ANSI C
syntax that has been extended with a number of special directives. As a
result, interfaces are usually built by grabbing a header file and
tweaking it a little bit.'' For C++ interfaces, the tweaking has often
proven to amount to more than just a little bit. One user
writes:
<blockquote> ``The problem with swig (when I used it) is that it
couldnt handle templates, didnt do func overloading properly etc. For
ANSI C libraries this was fine. But for usual C++ code this was a
problem. Simple things work. But for anything very complicated (or
realistic), one had to write code by hand. I believe Boost.Python doesn't have
this problem[<a href="#sic">sic</a>]... IMHO overloaded functions are very important to
wrap correctly.''<br><i>-Prabhu Ramachandran</i>
</blockquote>
<p>
By contrast, Boost.Python doesn't attempt to parse C++ - the problem is simply
too complex to do correctly. <a name="sic">Technically</a>, one does
write code by hand to use Boost.Python. The goal, however, has been to make
that code nearly as simple as listing the names of the classes and
member functions you want to expose in Python.
<h2>SIP</h2>
<p>
<a
href="http://www.thekompany.com/projects/pykde/background.php3?dhtml_ok=1">SIP</a>
is a system similar to SWIG, though seemingly more
C++-oriented. The author says that like Boost.Python, SIP supports overriding
extension class member functions in Python subclasses. It appears to
have been designed specifically to directly support some features of
PyQt/PyKDE, which is its primary client. Documentation is almost
entirely missing at the time of this writing, so a detailed comparison
is difficult.
<h2>ILU</h2>
<p>
<a
href="ftp://ftp.parc.xerox.com/pub/ilu/ilu.html">ILU</a>
is a very ambitious project which tries to describe a module's interface
(types and functions) in terms of an <a
href="ftp://ftp.parc.xerox.com/pub/ilu/2.0b1/manual-html/manual_2.html">Interface
Specification Language</a> (ISL) so that it can be uniformly interfaced
to a wide range of computer languages, including Common Lisp, C++, C,
Modula-3, and Python. ILU can parse the ISL to generate a C++ language
header file describing the interface, of which the user is expected to
provide an implementation. Unlike Boost.Python, this means that the system
imposes implementation details on your C++ code at the deepest level. It
is worth noting that some of the C++ names generated by ILU are supposed
to be reserved to the C++ implementation. It is unclear from the
documentation whether ILU supports overriding C++ virtual functions in Python.
<h2>GRAD</h2>
<p>
<a
href="http://www.python.org/workshops/1996-11/papers/GRAD/html/GRADcover.html">GRAD</a>
is another very ambitious project aimed at generating Python wrappers for
interfaces written in ``legacy languages'', among which C++ is the first one
implemented. Like SWIG, it aims to parse source code and automatically
generate wrappers, though it appears to take a more sophisticated approach
to parsing in general and C++ in particular, so it should do a much better
job with C++. It appears to support function overloading. The
documentation is missing a lot of information I'd like to see, so it is
difficult to give an accurate and fair assessment. I am left with the
following questions:
<ul>
<li>Does it support overriding of virtual functions?
<li>What about overriding private or protected virtual functions (the documentation indicates
that only public interfaces are supported)?
<li>Which C++ language constructs are supportd?
<li>Does it support implicit conversions between wrapped C++ classes that have
an inheritance relationship?
<li>Does it support smart pointers?
</ul>
<p>
Anyone in the possession of the answers to these questions will earn my
gratitude for a write-up <code>;-)</code>
<h2>Zope ExtensionClasses</h2>
<p>
<a href="http:http://www.digicool.com/releases/ExtensionClass">
ExtensionClasses in Zope</a> use the same underlying mechanism as Boost.Python
to support subclassing of extension types in Python, including
multiple-inheritance. Both systems support pickling/unpickling of
extension class instances in very similar ways. Both systems rely on the
same ``<a
href="http://www.python.org/workshops/1994-11/BuiltInClasses/Welcome.html">Don
Beaudry Hack</a>'' that also inspired Don's MESS System.
<p>
The major differences are:
<ul>
<li>Zope is entirely 'C' language-based. It doesn't require a C++
compiler, so it's much more portable than Boost.Python, which stresses
the limits of even some modern C++ implementations.
<li>
Boost.Python lifts the burden on the user to parse and convert function
argument types. Zope provides no such facility.
<li>
Boost.Python lifts the burden on the user to maintain Python
reference-counts.
<li>
Boost.Python supports function overloading; Zope does not.
<li>
Boost.Python supplies a simple mechanism for exposing read-only and
read/write access to data members of the wrapped C++ type as Python
attributes.
<li>
Writing a Zope ExtensionClass is significantly more complex than
exposing a C++ class to python using Boost.Python (mostly a summary of the
previous 4 items). <a href=
"http://www.digicool.com/releases/ExtensionClass/MultiMapping.html">A
Zope Example</a> illustrates the differences.
<li>
Zope's ExtensionClasses are specifically motivated by ``the need for a
C-based persistence mechanism''. Boost.Python's are motivated by the desire
to simply reflect a C++ API into Python with as little modification as
possible.
<li>
The following Zope restriction does not apply to Boost.Python: ``At most one
base extension direct or indirect super class may define C data
members. If an extension subclass inherits from multiple base
extension classes, then all but one must be mix-in classes that
provide extension methods but no data.''
<li>
Zope requires use of the somewhat funky inheritedAttribute (search for
``inheritedAttribute'' on <a
href="http://www.digicool.com/releases/ExtensionClass">this page</a>)
method to access base class methods. In Boost.Python, base class methods can
be accessed in the usual way by writing
``<code>BaseClass.method</code>''.
<li>
Zope supplies some creative but esoteric idioms such as <a href=
"http://www.digicool.com/releases/ExtensionClass/Acquisition.html">
Acquisition</a>. No specific support for this is built into Boost.Python.
<li>
Zope's ComputedAttribute support is designed to be used from Python.
<a href="special.html#getter_setter">The analogous feature of
Boost.Python</a> can be used from C++ or Python. The feature is arguably
easier to use in Boost.Python.
</ul>
<p>
Next: <a href="example1.html">A Simple Example Using Boost.Python</a>
Previous: <a href="extending.html">A Brief Introduction to writing Python Extension Modules</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Mar 6, 2001
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>Cross-extension-module dependencies</title>
<div>
<img src="../../../c++boost.gif"
alt="c++boost.gif (8819 bytes)"
align="center"
width="277" height="86">
<hr>
<h1>Cross-extension-module dependencies</h1>
It is good programming practice to organize large projects as modules
that interact with each other via well defined interfaces. With
Boost.Python it is possible to reflect this organization at the C++
level at the Python level. This is, each logical C++ module can be
organized as a separate Python extension module.
<p>
At first sight this might seem natural and straightforward. However, it
is a fairly complex problem to establish cross-extension-module
dependencies while maintaining the same ease of use Boost.Python
provides for classes that are wrapped in the same extension module. To
a large extent this complexity can be hidden from the author of a
Boost.Python extension module, but not entirely.
<hr>
<h2>The recipe</h2>
Suppose there is an extension module that exposes certain instances of
the C++ <tt>std::vector</tt> template library such that it can be used
from Python in the following manner:
<pre>
import std_vector
v = std_vector.double([1, 2, 3, 4])
v.push_back(5)
v.size()
</pre>
Suppose the <tt>std_vector</tt> module is done well and reflects all
C++ functions that are useful at the Python level, for all C++ built-in
data types (<tt>std_vector.int</tt>, <tt>std_vector.long</tt>, etc.).
<p>
Suppose further that there is statistic module with a C++ class that
has constructors or member functions that use or return a
<tt>std::vector</tt>. For example:
<pre>
class xy {
public:
xy(const std::vector&lt;double&gt;&amp; x, const std::vector&lt;double&gt;&amp; y) : m_x(x), m_y(y) {}
const std::vector&lt;double&gt;&amp; x() const { return m_x; }
const std::vector&lt;double&gt;&amp; y() const { return m_y; }
double correlation();
private:
std::vector&lt;double&gt; m_x;
std::vector&lt;double&gt; m_y;
}
</pre>
What is more natural than reusing the <tt>std_vector</tt> extension
module to expose these constructors or functions to Python?
<p>
Unfortunately, what seems natural needs a little work in both the
<tt>std_vector</tt> and the <tt>statistics</tt> module.
<p>
In the <tt>std_vector</tt> extension module,
<tt>std::vector&lt;double&gt;</tt> is exposed to Python in the usual
way with the <tt>class_builder&lt;&gt;</tt> template. To also enable the
automatic conversion of <tt>std::vector&lt;double&gt;</tt> function
arguments or return values in other Boost.Python C++ modules, the
converters that convert a <tt>std::vector&lt;double&gt;</tt> C++ object
to a Python object and vice versa (i.e. the <tt>to_python()</tt> and
<tt>from_python()</tt> template functions) have to be exported. For
example:
<pre>
#include &lt;boost/python/cross_module.hpp&gt;
//...
class_builder&lt;std::vector&lt;double&gt; &gt; v_double(std_vector_module, &quot;double&quot;);
export_converters(v_double);
</pre>
In the extension module that wraps <tt>class xy</tt> we can now import
these converters with the <tt>import_converters&lt;&gt;</tt> template.
For example:
<pre>
#include &lt;boost/python/cross_module.hpp&gt;
//...
import_converters&lt;std::vector&lt;double&gt; &gt; v_double_converters(&quot;std_vector&quot;, &quot;double&quot;);
</pre>
That is all. All the attributes that are defined for
<tt>std_vector.double</tt> in the <tt>std_vector</tt> Boost.Python
module will be available for the returned objects of <tt>xy.x()</tt>
and <tt>xy.y()</tt>. Similarly, the constructor for <tt>xy</tt> will
accept objects that were created by the <tt>std_vector</tt>module.
<hr>
<h2>Placement of <tt>import_converters&lt;&gt;</tt> template instantiations</h2>
<tt>import_converts&lt;&gt;</tt> can be viewed as a drop-in replacement
for <tt>class_wrapper&lt;&gt;</tt>, and the recommendations for the
placement of <tt>class_wrapper&lt;&gt;</tt> template instantiations
also apply to to <tt>import_converts&lt;&gt;</tt>. In particular, it is
important that an instantiation of <tt>class_wrapper&lt;&gt;</tt> is
visible to any code which wraps a C++ function with a <tt>T</tt>,
<tt>T*</tt>, const <tt>T&amp;</tt>, etc. parameter or return value.
Therefore you may want to group all <tt>class_wrapper&lt;&gt;</tt> and
<tt>import_converts&lt;&gt;</tt> instantiations at the top of your
module's init function, then <tt>def()</tt> the member functions later
to avoid problems with inter-class dependencies.
<hr>
<h2>Non-copyable types</h2>
<tt>export_converters()</tt> instantiates C++ template functions that
invoke the copy constructor of the wrapped type. For a type that is
non-copyable this will result in compile-time error messages. In such a
case, <tt>export_converters_noncopyable()</tt> can be used to export
the converters that do not involve the copy constructor of the wrapped
type. For example:
<pre>
class_builder&lt;store&gt; py_store(your_module, &quot;store&quot;);
export_converters_noncopyable(py_store);
</pre>
The corresponding <tt>import_converters&lt;&gt;</tt> statement does not
need any special attention:
<pre>
import_converters&lt;store&gt; py_store(&quot;noncopyable_export&quot;, &quot;store&quot;);
</pre>
<hr>
<h2>Python module search path</h2>
The <tt>std_vector</tt> and <tt>statistics</tt> modules can now be used
in the following way:
<pre>
import std_vector
import statistics
x = std_vector.double([1, 2, 3, 4])
y = std_vector.double([2, 4, 6, 8])
xy = statistics.xy(x, y)
xy.correlation()
</pre>
In this example it is clear that Python has to be able to find both the
<tt>std_vector</tt> and the <tt>statistics</tt> extension module. In
other words, both extension modules need to be in the Python module
search path (<tt>sys.path</tt>).
<p>
The situation is not always this obvious. Suppose the
<tt>statistics</tt> module has a <tt>random()</tt> function that
returns a vector of random numbers with a given length:
<pre>
import statistics
x = statistics.random(5)
y = statistics.random(5)
xy = statistics.xy(x, y)
xy.correlation()
</pre>
A naive user will not easily anticipate that the <tt>std_vector</tt>
module is used to pass the <tt>x</tt> and <tt>y</tt> vectors around. If
the <tt>std_vector</tt> module is in the Python module search path,
this form of ignorance is of no harm. On the contrary, we are glad
that we do not have to bother the user with details like this.
<p>
If the <tt>std_vector</tt> module is not in the Python module search
path, a Python exception will be raised:
<pre>
Traceback (innermost last):
File &quot;foo.py&quot;, line 2, in ?
x = statistics.random(5)
ImportError: No module named std_vector
</pre>
As is the case with any system of a non-trivial complexity, it is
important that the setup is consistent and complete.
<hr>
<h2>Two-way module dependencies</h2>
Boost.Python supports two-way module dependencies. This is best
illustrated by a simple example.
<p>
Suppose there is a module <tt>ivect</tt> that implements vectors of
integers, and a similar module <tt>dvect</tt> that implements vectors
of doubles. We want to be able do convert an integer vector to a double
vector and vice versa. For example:
<pre>
import ivect
iv = ivect.ivect((1,2,3,4,5))
dv = iv.as_dvect()
</pre>
The last expression will implicitly import the <tt>dvect</tt> module in
order to enable the conversion of the C++ representation of
<tt>dvect</tt> to a Python object. The analogous is possible for a
<tt>dvect</tt>:
<pre>
import dvect
dv = dvect.dvect((1,2,3,4,5))
iv = dv.as_ivect()
</pre>
Now the <tt>ivect</tt> module is imported implicitly.
<p>
Note that the two-way dependencies are possible because the
dependencies are resolved only when needed. This is, the initialization
of the <tt>ivect</tt> module does not rely on the <tt>dvect</tt>
module, and vice versa. Only if <tt>as_dvect()</tt> or
<tt>as_ivect()</tt> is actually invoked will the corresponding module
be implicitly imported. This also means that, for example, the
<tt>dvect</tt> module does not have to be available at all if
<tt>as_dvect()</tt> is never used.
<hr>
<h2>Clarification of compile-time and link-time dependencies</h2>
Boost.Python's support for resolving cross-module dependencies at
runtime does not imply that compile-time dependencies are eliminated.
For example, the statistics extension module in the example above will
need to <tt>#include &lt;vector&gt;</tt>. This is immediately obvious
from the definition of <tt>class xy</tt>.
<p>
If a library is wrapped that consists of both header files and compiled
components (e.g. <tt>libdvect.a</tt>, <tt>dvect.lib</tt>, etc.), both
the Boost.Python extension module with the
<tt>export_converters()</tt> statement and the module with the
<tt>import_converters&lt;&gt;</tt> statement need to be linked against
the object library. Ideally one would build a shared library (e.g.
<tt>libdvect.so</tt>, <tt>dvect.dll</tt>, etc.). However, this
introduces the issue of having to configure the search path for the
dynamic loading correctly. For small libraries it is therefore often
more convenient to ignore the fact that the object files are loaded
into memory more than once.
<hr>
<h2>Summary of motivation for cross-module support</h2>
The main purpose of Boost.Python's cross-module support is to allow for
a modular system layout. With this support it is straightforward to
reflect C++ code organization at the Python level. Without the
cross-module support, a multi-purpose module like <tt>std_vector</tt>
would be impractical because the entire wrapper code would somehow have
to be duplicated in all extension modules that use it, making them
harder to maintain and harder to build.
<p>
Another motivation for the cross-module support is that two extension
modules that wrap the same class cannot both be imported into Python.
For example, if there are two modules <tt>A</tt> and <tt>B</tt> that
both wrap a given <tt>class X</tt>, this will work:
<pre>
import A
x = A.X()
</pre>
This will also work:
<pre>
import B
x = B.X()
</pre>
However, this will fail:
<pre>
import A
import B
python: /net/cci/rwgk/boost/boost/python/detail/extension_class.hpp:866:
static void boost::python::detail::class_registry&lt;X&gt;::register_class(boost::python::detail::extension_class_base *):
Assertion `static_class_object == 0' failed.
Abort
</pre>
A good solution is to wrap <tt>class X</tt> only once. Depending on the
situation, this could be done by module <tt>A</tt> or <tt>B</tt>, or an
additional small extension module that only wraps and exports
<tt>class X</tt>.
<p>
Finally, there can be important psychological or political reasons for
using the cross-module support. If a group of classes is lumped
together with many others in a huge module, the authors will have
difficulties in being identified with their work. The situation is
much more transparent if the work is represented by a module with a
recognizable name. This is not just a question of strong egos, but also
of getting credit and funding.
<hr>
<h2>Why not use <tt>export_converters()</tt> universally?</h2>
There is some overhead associated with the Boost.Python cross-module
support. Depending on the platform, the size of the code generated by
<tt>export_converters()</tt> is roughly 10%-20% of that generated
by <tt>class_builder&lt;&gt;</tt>. For a large extension module with
many wrapped classes, this could mean a significant difference.
Therefore the general recommendation is to use
<tt>export_converters()</tt> only for classes that are likely to
be used as function arguments or return values in other modules.
<hr>
&copy; Copyright Ralf W. Grosse-Kunstleve 2001. 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>
Updated: April 2001
</div>

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Given a real Python class 'A', a wrapped C++ class 'B', and this definition:
class C(A, B):
def __init__(self):
B.__init__(self)
self.x = 1
...
c = C()
this diagram describes the internal structure of an instance of 'C', including
its inheritance relationships. Note that ExtensionClass<B> is derived from
Class<ExtensionInstance>, and is in fact identical for all intents and purposes.
MetaClass<ExtensionInstance>
+---------+ +---------+
types.ClassType: | | | |
| | | |
| | | |
+---------+ +---------+
^ ^ ^
PyClassObject | ExtensionClass<B> | |
A: +------------+ | B: +------------+ | |
| ob_type -+-+ | ob_type -+-----+ |
| | ()<--+- __bases__ | |
| | | __dict__ -+->{...} |
| | 'B'<-+- __name__ | |
+------------+ +------------+ |
^ ^ |
| | |
+-----+ +-------------+ |
| | |
| | Class<ExtensionInstance> |
| | C: +------------+ |
| | | ob_type -+------------+
tuple:(*, *)<--+- __bases__ |
| __dict__ -+->{__module__, <methods, etc.>}
'C' <-+- __name__ |
+------------+
^ (in case of inheritance from more than one
| extension class, this vector would contain
+---------------+ a pointer to an instance holder for the data
| of each corresponding C++ class)
| ExtensionInstance
| c: +---------------------+ std::vector<InstanceHolderBase>
+----+- __class__ | +---+--
| m_wrapped_objects -+->| * | ...
{'x': 1}<-+- __dict__ | +-|-+--
+---------------------+ | InstanceValueHolder<B>
| +--------------------------------+
+-->| (contains a C++ instance of B) |
+--------------------------------+
In our inheritance test cases in extclass_demo.cpp/test_extclass.py, we have the
following C++ inheritance hierarchy:
+-----+ +----+
| A1 | | A2 |
+-----+ +----+
^ ^ ^ ^ ^
| | | | |
+-----+ | +---------+-----+
| | | |
| +---+----------+
.......!...... | |
: A_callback : +-+--+ +-+--+
:............: | B1 | | B2 |
+----+ +----+
^
|
+-------+---------+
| |
+-+-+ ......!.......
| C | : B_callback :
+---+ :............:
A_callback and B_callback are used as part of the wrapping mechanism but not
represented in Python. C is also not represented in Python but is delivered
there polymorphically through a smart pointer.
This is the data structure in Python.
ExtensionClass<A1>
A1: +------------+
()<--+- __bases__ |
| __dict__ -+->{...}
+------------+
^
| ExtensionInstance
| a1: +---------------------+ vec InstanceValueHolder<A1,A_callback>
+---------+- __class__ | +---+ +---------------------+
| | m_wrapped_objects -+->| *-+-->| contains A_callback |
| +---------------------+ +---+ +---------------------+
|
| ExtensionInstance
| pa1_a1: +---------------------+ vec InstancePtrHolder<auto_ptr<A1>,A1>
+---------+- __class__ | +---+ +---+
| | m_wrapped_objects -+->| *-+-->| *-+-+ A1
| +---------------------+ +---+ +---+ | +---+
| +->| |
| ExtensionInstance +---+
| pb1_a1: +---------------------+ vec InstancePtrHolder<auto_ptr<A1>,A1>
+---------+- __class__ | +---+ +---+
| | m_wrapped_objects -+->| *-+-->| *-+-+ B1
| +---------------------+ +---+ +---+ | +---+
| +->| |
| ExtensionInstance +---+
| pb2_a1: +---------------------+ vec InstancePtrHolder<auto_ptr<A1>,A1>
+---------+- __class__ | +---+ +---+
| | m_wrapped_objects -+->| *-+-->| *-+-+ B2
| +---------------------+ +---+ +---+ | +---+
| +->| |
| +---+
| ExtensionClass<A1>
| A2: +------------+
| ()<--+- __bases__ |
| | __dict__ -+->{...}
| +------------+
| ^
| | ExtensionInstance
| a2: | +---------------------+ vec InstanceValueHolder<A2>
| +-+- __class__ | +---+ +-------------+
| | | m_wrapped_objects -+->| *-+-->| contains A2 |
| | +---------------------+ +---+ +-------------+
| |
| | ExtensionInstance
| pa2_a2: | +---------------------+ vec InstancePtrHolder<auto_ptr<A2>,A2>
| +-+- __class__ | +---+ +---+
| | | m_wrapped_objects -+->| *-+-->| *-+-+ A2
| | +---------------------+ +---+ +---+ | +---+
| | +->| |
| | ExtensionInstance +---+
| pb1_a2: | +---------------------+ vec InstancePtrHolder<auto_ptr<A2>,A2>
| +-+- __class__ | +---+ +---+
| | | m_wrapped_objects -+->| *-+-->| *-+-+ B1
| | +---------------------+ +---+ +---+ | +---+
| | +->| |
| | +---+
| |
| +---------------+------------------------------+
| | |
+------+-------------------------+-|----------------------------+ |
| | | | |
| Class<ExtensionInstance> | | ExtensionClass<B1> | | ExtensionClass<B1>
| DA1: +------------+ | | B1: +------------+ | | B2: +------------+
(*,)<---+- __bases__ | (*,*)<---+- __bases__ | (*,*)<---+- __bases__ |
| __dict__ -+->{...} | __dict__ -+->{...} | __dict__ -+->{...}
+------------+ +------------+ +------------+
^ ^ ^
| ExtensionInstance | |
| da1: +---------------------+ | vec InstanceValueHolder<A1,A_callback>
+-------+- __class__ | | +---+ +---------------------+ |
| m_wrapped_objects -+--|-->| *-+-->| contains A_callback | |
+---------------------+ | +---+ +---------------------+ |
+--------------------------------------+ |
| ExtensionInstance |
b1: | +---------------------+ vec InstanceValueHolder<B1,B_callback> |
+-+- __class__ | +---+ +---------------------+ |
| | m_wrapped_objects -+->| *-+-->| contains B_callback | |
| +---------------------+ +---+ +---------------------+ |
| |
| ExtensionInstance |
pb1_b1: | +---------------------+ vec InstancePtrHolder<auto_ptr<B1>,B1> |
+-+- __class__ | +---+ +---+ |
| | m_wrapped_objects -+->| *-+-->| *-+-+ B1 |
| +---------------------+ +---+ +---+ | +---+ |
| +->| | |
| ExtensionInstance +---+ |
pc_b1: | +---------------------+ vec InstancePtrHolder<auto_ptr<B1>,B1> |
+-+- __class__ | +---+ +---+ |
| | m_wrapped_objects -+->| *-+-->| *-+-+ C |
| +---------------------+ +---+ +---+ | +---+ |
| +->| | |
| +---+ |
| |
| Class<ExtensionInstance> +---------------------------------------+
| DB1: +------------+ | ExtensionInstance
(*,)<---+- __bases__ | a2: | +---------------------+ vec InstanceValueHolder<A2>
| __dict__ -+->{...} +-+- __class__ | +---+ +-------------+
+------------+ | m_wrapped_objects -+->| *-+-->| contains A2 |
^ +---------------------+ +---+ +-------------+
| ExtensionInstance
db1: | +---------------------+ vec InstanceValueHolder<B1,B_callback>
+-+- __class__ | +---+ +----------------------+
| m_wrapped_objects -+-->| *-+-->| contains B1_callback |
+---------------------+ +---+ +----------------------+

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Wrapping enums
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="center"
src="../../../c++boost.gif" alt= "c++boost.gif (8819 bytes)"><br>
Wrapping enums
</h1>
<p>Because there is in general no way to deduce that a value of arbitrary type T
is an enumeration constant, the Boost Python Library cannot automatically
convert enum values to and from Python. To handle this case, you need to decide
how you want the enum to show up in Python (since Python doesn't have
enums). Once you have done that, you can write some simple
<code>from_python()</code> and <code>to_python()</code> functions.
<p>If you are satisfied with a Python int as a way to represent your enum
values, we provide a shorthand for these functions. You just need to cause
<code>boost::python::enum_as_int_converters&lt;EnumType&gt;</code> to be
instantiated, where
<code>EnumType</code> is your enumerated type. There are two convenient ways to do this:
<ol>
<li>Explicit instantiation:
<blockquote><pre>
template class boost::python::enum_as_int_converters&lt;my_enum&gt;;
</blockquote></pre>
Some buggy C++ implementations require a class to be instantiated in the same
namespace in which it is defined. In that case, the simple incantation above becomes:
<blockquote>
<pre>
...
} // close my_namespace
// drop into namespace python and explicitly instantiate
namespace boost { namespace python {
template class enum_as_int_converters&lt;my_enum_type&gt;;
}} // namespace boost::python
namespace my_namespace { // re-open my_namespace
...
</pre>
</blockquote>
<li>If you have such an implementation, you may find this technique more convenient
<blockquote><pre>
// instantiate as base class in any namespace
struct EnumTypeConverters
: boost::python::enum_as_int_converters&lt;EnumType&gt;
{
};
</blockquote></pre>
</ol>
<p>Either of the above is equivalent to the following declarations:
<blockquote><pre>
BOOST_PYTHON_BEGIN_CONVERSION_NAMESPACE // this is a gcc 2.95.2 bug workaround
MyEnumType from_python(PyObject* x, boost::python::type&lt;MyEnumType&gt;)
{
return static_cast&lt;MyEnum&gt;(
from_python(x, boost::python::type&lt;long&gt;()));
}
MyEnumType from_python(PyObject* x, boost::python::type&lt;const MyEnumType&amp;&gt;)
{
return static_cast&lt;MyEnum&gt;(
from_python(x, boost::python::type&lt;long&gt;()));
}
PyObject* to_python(MyEnumType x)
{
return to_python(static_cast&lt;long&gt;(x));
}
BOOST_PYTHON_END_CONVERSION_NAMESPACE
</pre></blockquote>
<p>This technique defines the conversions of
<code>MyEnumType</code> in terms of the conversions for the built-in
<code>long</code> type.
You may also want to add a bunch of lines like this to your module
initialization. These bind the corresponding enum values to the appropriate
names so they can be used from Python:
<blockquote><pre>
mymodule.add(boost::python::make_ref(enum_value_1), "enum_value_1");
mymodule.add(boost::python::make_ref(enum_value_2), "enum_value_2");
...
</pre></blockquote>
You can also add these to an extension class definition, if your enum happens to
be local to a class and you want the analogous interface in Python:
<blockquote><pre>
my_class_builder.add(boost::python::to_python(enum_value_1), "enum_value_1");
my_class_builder.add(boost::python::to_python(enum_value_2), "enum_value_2");
...
</pre></blockquote>
<p>
Next: <a href="pointers.html">Pointers and Smart Pointers</a>
Previous: <a href="building.html">Building an Extension Module</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Mar 6, 2001
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
A Simple Example
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" src="../../../c++boost.gif" alt=
"c++boost.gif (8819 bytes)">
</h1>
<h1>
A Simple Example
</h1>
<p>
Suppose we have the following C++ API which we want to expose in
Python:
<blockquote>
<pre>
#include &lt;string&gt;
namespace { // Avoid cluttering the global namespace.
// A couple of simple C++ functions that we want to expose to Python.
std::string greet() { return "hello, world"; }
int square(int number) { return number * number; }
}
</pre>
</blockquote>
<p>
Here is the C++ code for a python module called <tt>getting_started1</tt>
which exposes the API.
<blockquote>
<pre>
#include &lt;boost/python/class_builder.hpp&gt;
namespace python = boost::python;
BOOST_PYTHON_MODULE_INIT(getting_started1)
{
// Create an object representing this extension module.
python::module_builder this_module("getting_started1");
// Add regular functions to the module.
this_module.def(greet, "greet");
this_module.def(square, "square");
}
</pre>
</blockquote>
<p>
That's it! If we build this shared library and put it on our <code>
PYTHONPATH</code> we can now access our C++ functions from
Python.
<blockquote>
<pre>
&gt;&gt;&gt; import getting_started1
&gt;&gt;&gt; print getting_started1.greet()
hello, world
&gt;&gt;&gt; number = 11
&gt;&gt;&gt; print number, '*', number, '=', getting_started1.square(number)
11 * 11 = 121
</pre>
<p>
Next: <a href="exporting_classes.html">Exporting Classes</a>
Previous: <a href="comparisons.html">Comparisons with other systems</a> Up:
<a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Mar 6, 2000
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Exporting Classes
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" src="../../../c++boost.gif" alt=
"c++boost.gif (8819 bytes)">
</h1>
<h1>
Exporting Classes
</h1>
<p>
Now let's expose a C++ class to Python:
<blockquote><pre>
#include &lt;iostream&gt;
#include &lt;string&gt;
namespace { // Avoid cluttering the global namespace.
// A friendly class.
class hello
{
public:
hello(const std::string&amp; country) { this-&gt;country = country; }
std::string greet() const { return "Hello from " + country; }
private:
std::string country;
};
// A function taking a hello object as an argument.
std::string invite(const hello&amp; w) {
return w.greet() + "! Please come soon!";
}
}
</blockquote></pre> <p>
To expose the class, we use a <tt>class_builder</tt> in addition to the
<tt>module_builder</tt> from the previous example. Class member functions
are exposed by using the <tt>def()</tt> member function on the
<tt>class_builder</tt>:
<blockquote><pre>
#include &lt;boost/python/class_builder.hpp&gt;
namespace python = boost::python;
BOOST_PYTHON_MODULE_INIT(getting_started2)
{
// Create an object representing this extension module.
python::module_builder this_module("getting_started2");
// Create the Python type object for our extension class.
python::class_builder&lt;hello&gt; hello_class(this_module, "hello");
// Add the __init__ function.
hello_class.def(python::constructor&lt;std::string&gt;());
// Add a regular member function.
hello_class.def(&amp;hello::greet, "greet");
// Add invite() as a regular function to the module.
this_module.def(invite, "invite");
// Even better, invite() can also be made a member of hello_class!!!
hello_class.def(invite, "invite");
}
</blockquote></pre>
<p>
Now we can use the class normally from Python:
<blockquote><pre>
&gt;&gt;&gt; from getting_started2 import *
&gt;&gt;&gt; hi = hello('California')
&gt;&gt;&gt; hi.greet()
'Hello from California'
&gt;&gt;&gt; invite(hi)
'Hello from California! Please come soon!'
&gt;&gt;&gt; hi.invite()
'Hello from California! Please come soon!'
</blockquote></pre>
Notes:<ul>
<li> We expose the class' constructor by calling <tt>def()</tt> on the
<tt>class_builder</tt> with an argument whose type is
<tt>constructor&lt;</tt><i>params</i><tt>&gt;</tt>, where <i>params</i>
matches the list of constructor argument types:
<li>Regular member functions are defined by calling <tt>def()</tt> with a
member function pointer and its Python name:
<li>Any function added to a class whose initial argument matches the class (or
any base) will act like a member function in Python.
<li>To define a nested class, just pass the enclosing
<tt>class_builder</tt> (instead of a <tt>module_builder</tt>) as the
first argument to the nested <tt>class_builder</tt>'s constructor.
</ul>
<p>
We can even make a subclass of <code>hello.world</code>:
<blockquote><pre>
&gt;&gt;&gt; class wordy(hello):
... def greet(self):
... return hello.greet(self) + ', where the weather is fine'
...
&gt;&gt;&gt; hi2 = wordy('Florida')
&gt;&gt;&gt; hi2.greet()
'Hello from Florida, where the weather is fine'
&gt;&gt;&gt; invite(hi2)
'Hello from Florida! Please come soon!'
</blockquote></pre>
<p>
Pretty cool! You can't do that with an ordinary Python extension type!
Of course, you may now have a slightly empty feeling in the pit of
your little pythonic stomach. Perhaps you wanted to see the following
<tt>wordy</tt> invitation:
<blockquote><pre>
'Hello from Florida, where the weather is fine! Please come soon!'
</blockquote></pre>
After all, <tt>invite</tt> calls <tt>hello::greet()</tt>, and you
reimplemented that in your Python subclass, <tt>wordy</tt>. If so, <a
href= "overriding.html">read on</a>...
<p>
Next: <a href="overriding.html">Overridable virtual functions</a>
Previous: <a href="example1.html">A Simple Example</a> Up:
<a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Mar 6, 2001
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 3.2//EN">
<meta http-equiv="Content-Type" content="text/html; charset=windows-1252">
<title>
A Brief Introduction to writing Python extension modules
</title>
<h1>
<img src="../../../c++boost.gif" alt="c++boost.gif (8819 bytes)" align="center"
width="277" height="86">
</h1>
<h1>
A Brief Introduction to writing Python extension modules
</h1>
<p>
Interfacing any language to Python involves building a module which can
be loaded by the Python interpreter, but which isn't written in Python.
This is known as an <em>extension module</em>. Many of the <a href=
"http://www.python.org/doc/current/lib/lib.html">built-in Python
libraries</a> are constructed in 'C' this way; Python even supplies its
<a href="http://www.python.org/doc/current/lib/types.html">fundamental
types</a> using the same mechanism. An extension module can be statically
linked with the Python interpreter, but it more commonly resides in a
shared library or DLL.
<p>
As you can see from <a href=
"http://www.python.org/doc/current/ext/ext.html"> The Python Extending
and Embedding Tutorial</a>, writing an extension module normally means
worrying about
<ul>
<li>
<a href="http://www.python.org/doc/current/ext/refcounts.html">
maintaining reference counts</a>
<li>
<a href="http://www.python.org/doc/current/ext/callingPython.html"> how
to call back into Python</a>
<li>
<a href="http://www.python.org/doc/current/ext/parseTuple.html">
function argument parsing and typechecking</a>
</ul>
This last item typically occupies a great deal of code in an extension
module. Remember that Python is a completely dynamic language. A callable
object receives its arguments in a tuple; it is up to that object to extract
those arguments from the tuple, check their types, and raise appropriate
exceptions. There are numerous other tedious details that need to be
managed; too many to mention here. The Boost Python Library is designed to
lift most of that burden.<br>
<br>
<p>
Another obstacle that most people run into eventually when extending
Python is that there's no way to make a true Python class in an extension
module. The typical solution is to create a new Python type in the
extension module, and then write an additional module in 100% Python. The
Python module defines a Python class which dispatches to an instance of
the extension type, which it contains. This allows users to write
subclasses of the class in the Python module, almost as though they were
sublcassing the extension type. Aside from being tedious, it's not really
the same as having a true class, because there's no way for the user to
override a method of the extension type which is called from the
extension module. Boost.Python solves this problem by taking advantage of <a
href="http://www.python.org/doc/essays/metaclasses/">Python's metaclass
feature</a> to provide objects which look, walk, and hiss almost exactly
like regular Python classes. Boost.Python classes are actually cleaner than
Python classes in some subtle ways; a more detailed discussion will
follow (someday).</p>
<p>Next: <a href="comparisons.html">Comparisons with Other Systems</a> Up: <a
href="index.html">Top</a> </p>
<p>
&copy; Copyright David Abrahams 2000. 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>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
The Boost Python Library (Boost.Python)
</title>
<h1>
<img src="../../../c++boost.gif" alt="c++boost.gif (8819 bytes)" width="277"
align="center" height="86"><br>The Boost Python Library (Boost.Python)
</h1>
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="boost.css">
<h2>Synopsis</h2>
<p>
Use the Boost Python Library to quickly and easily export a C++ library to <a
href="http://www.python.org">Python</a> such that the Python interface is
very similar to the C++ interface. It is designed to be minimally
intrusive on your C++ design. In most cases, you should not have to alter
your C++ classes in any way in order to use them with Boost.Python. The system
<em>should</em> simply ``reflect'' your C++ classes and functions into
Python.
<title>Boost.Python</title>
</head>
<p>
<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>
<table border="1">
<tr><td> <b>Note:</b> this is the last official release of
Boost.Python v1. Development of this version of the library has
stopped; it will be retired soon in favor of the redesigned and
improved version 2. A summary of the development goals is available on
the Python <a href="http://www.python.org/sigs/c++-sig/">C++-sig</a>
page, which also serves as a mailing list for users of both versions
of the library. A preview of the v2 documentation is available <a
href="http://cvs.sourceforge.net/cgi-bin/viewcvs.cgi/*checkout*/boost/boost/libs/python/doc/v2/index.html?rev=HEAD&content-type=text/html">here</a>,
and instructions for getting started with a prerelease are available
upon request.
</table>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2>Supported Platforms</h2>
<p>Boost.Python is known to have been tested
against <a href="http://www.python/org/2.2.1">Python 2.2.1</a> using
the following compilers:
<h2 align="center">Index</h2>
</td>
</tr>
</table>
<hr>
<ul>
<li><a
href="http://msdn.microsoft.com/vstudio/downloads/updates/sp/vs6/sp5/default.asp">MSVC++6sp5</a>.
All tests pass.
<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=
"http://www.python.org">Python</a> programming language. The new version
has been rewritten from the ground up, with a more convenient and
flexible interface, and many new capabilities, including support for:
<li><a
href="http://msdn.microsoft.com/vstudio/downloads/updates/sp/vs6/sp5/default.asp">MSVC++6sp5</a>
with <a href="http://www.stlport.org">STLPort</a>-4.5.3. A compiler bug interferes with
<a
href="../example/simple_vector.cpp">libs/python/example/simple_vector.cpp</a>. All
other tests pass.
<ul>
<li>References and Pointers</li>
<p>
<li><a href="http://msdn.microsoft.com/visualc/">MSVC++7 (Visual
Studio .NET)</a>. All tests pass.
<li>Globally Registered Type Coercions</li>
<p>
<li><a href="http://www.metrowerks.com/products/windows/">Metrowerks
CodeWarrior Pro7.2 and Pro7.0 for Windows</a>. All tests pass.
<li>Automatic Cross-Module Type Conversions</li>
<p>
<li><a href="http://gcc.gnu.org">GCC 3.0.4</a> under <a
href="http://www.cygwin.com">Cygwin</a> and
<a href="http://www.redhat.com/">RedHat Linux 7.1</a>.
All tests pass.
<li>Efficient Function Overloading</li>
<p>
<li>Compaq C++ V6.2-024 for Digital UNIX (an <a
href="http://www.edg.com/">EDG</a>-based compiler).
All tests pass.<br>
Note that the Boost.Compatibility
library must be included (see e.g. tru64_cxx.mak in the build
directory).
<li>C++ to Python Exception Translation</li>
<p>
<li>Silicon Graphics MIPSpro Version 7.3.1.2m (an <a
href="http://www.edg.com/">EDG</a>-based compiler).
All tests pass.<br>
Note that the Boost.Compatibility
library must be included (see e.g. irix_CC.mak in the build
directory).
<li>Default Arguments</li>
<p>
<li><a href="http://gcc.gnu.org">GCC 2.95.2</a> under <a
href="http://www.mingw.org">MinGW</a> and <a
href="http://www.redhat.com/">RedHat Linux 7.1</a>.
Compilation succeeds, but some tests fail at runtime due to
exception handling bugs. It is therefore highly recommended
to use GCC 3.0.4 instead.
<li>Keyword Arguments</li>
<p>
<li><a
href="http://developer.intel.com/software/products/compilers/c50/">Intel
C++ 6.0</a> beta: Comprehensive test fails to link due to a
linker bug. Other tests seem to work.
<li>Manipulating Python objects in C++</li>
<p>
<li><a
href="http://developer.intel.com/software/products/compilers/c50/">Intel
C++ 5.0</a> Comprehensive test fails at runtime due to an
exception-handling bug. Other tests seem to work.
<li>Exporting C++ Iterators as Python Iterators</li>
</ul>
<li>Documentation Strings</li>
</ul>
<hr>
<p>
Note that pickling doesn't work with Python 2.2
due to a core language bug. This is fixed in
<a href="http://www.python/org/2.2.1">2.2.1</a>.
<h2>Contents</h2>
<p>
Boost.Python has also been used with other versions of Python back to
Python 1.5.2. It is expected that the older Python releases still work,
but we are not regularly testing for backward compatibility.
<dl class="index">
<dt><a href="tutorial/index.html">Tutorial Introduction</a></dt>
<h2>Credits</h2>
<ul>
<li><a href="../../../people/dave_abrahams.htm">David Abrahams</a> originated
and wrote most of the library, and continues to coordinate development.
<dt><a href="building.html">Building and Testing</a></dt>
<li><a href="mailto:koethe@informatik.uni-hamburg.de">Ullrich Koethe</a>
had independently developed a similar system. When he discovered Boost.Python,
he generously contributed countless hours of coding and much insight into
improving it. He is responsible for an early version of the support for <a
href="overloading.html">function overloading</a> and wrote the support for
<a href="inheritance.html#implicit_conversion">reflecting C++ inheritance
relationships</a>. He has helped to improve error-reporting from both
Python and C++, and has designed an extremely easy-to-use way of
exposing <a href="special.html#numeric">numeric operators</a>, including
a way to avoid explicit coercion by means of overloading.
<li><a href="http://cci.lbl.gov/staff/ralf_grosse-kunstleve.html">Ralf W.
Grosse-Kunstleve</a> contributed <a href="pickle.html">pickle support</a>
and numerous other small improvements. He's working on a way to allow
types exported by multiple modules to interact.
<dt><a href="v2/reference.html">Reference</a></dt>
<li>The members of the boost mailing list and the Python community
supplied invaluable early feedback. In particular, Ron Clarke, Mark Evans,
Anton Gluck, Chuck Ingold, Prabhu Ramachandran, and Barry Scott took the
brave step of trying to use Boost.Python while it was still in early
stages of development.
<dt><a href="v2/configuration.html">Configuration Information</a></dt>
<li>The development of Boost.Python wouldn't have been possible without
the generous support of <a href="http://www.dragonsys.com/">Dragon
Systems/Lernout and Hauspie, Inc</a> who supported its development as an
open-source project.
</ul>
<dt><a href="v2/platforms.html">Known Working Platforms and
Compilers</a></dt>
<h2>Table of Contents</h2>
<dt><a href="v2/definitions.html">Definitions</a></dt>
<ol>
<li><a href="extending.html">A Brief Introduction to writing Python
extension modules</a>
<dt><a href="v2/faq.html">Frequently Asked Questions (FAQs)</a></dt>
<li><a href="comparisons.html">Comparisons between Boost.Python and other
systems for extending Python</a>
<dt><a href="v2/progress_reports.html">Progress Reports</a></dt>
<li><a href="example1.html">A Simple Example</a>
<dt><a href="v2/acknowledgments.html">Acknowledgments</a></dt>
</dl>
<hr>
<li><a href="exporting_classes.html">Exporting Classes</a>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
08 October, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<li><a href="overriding.html">Overridable Virtual Functions</a>
<p><i>&copy; Copyright <a href="../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i></p>
</body>
</html>
<li><a href="overloading.html">Function Overloading</a>
<li><a href="inheritance.html">Inheritance</a>
<li><a href="special.html">Special Method and Operator Support</a>
<li><a href="under-the-hood.html">A Peek Under the Hood</a>
<li><a href="building.html">Building an Extension Module</a>
<li><a href="pickle.html">Pickle Support</a>
<li><a href="cross_module.html">Cross-Extension-Module Dependencies</a>
<li><a href="enums.html">Wrapping Enums</a>
<li><a href="pointers.html">Pointers and Smart Pointers</a>
<li><a href="data_structures.txt">Internal Data Structures</a>
</ol>
<p>
Documentation is a major ongoing project; assistance is greatly
appreciated! In the meantime, useful examples of every Boost.Python feature should
be evident in the regression test files <code>test/comprehensive.[<a
href="../test/comprehensive.py">py</a>/<a
href="../test/comprehensive.hpp">hpp</a>/<a
href="../test/comprehensive.cpp">cpp</a>]</code>
<p>
Questions should be directed to the <a href=
"http://www.python.org/sigs/c++-sig/">Python C++ SIG</a>.
<p>
&copy; Copyright David Abrahams 2001. 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>
Updated: Apr 2002

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Inheritance
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="center"
src="../../../c++boost.gif" alt= "c++boost.gif (8819 bytes)">Inheritance
</h1>
<h2>Inheritance in Python</h2>
<p>
Boost.Python extension classes support single and multiple-inheritance in
Python, just like regular Python classes. You can arbitrarily mix
built-in Python classes with extension classes in a derived class'
tuple of bases. Whenever a Boost.Python extension class is among the bases for a
new class in Python, the result is an extension class:
<blockquote>
<pre>
&gt;&gt;&gt; class MyPythonClass:
... def f(): return 'MyPythonClass.f()'
...
&gt;&gt;&gt; import my_extension_module
&gt;&gt;&gt; class Derived(my_extension_module.MyExtensionClass, MyPythonClass):
... '''This is an extension class'''
... pass
...
&gt;&gt;&gt; x = Derived()
&gt;&gt;&gt; x.f()
'MyPythonClass.f()'
&gt;&gt;&gt; x.g()
'MyExtensionClass.g()'
</pre>
</blockquote>
<h2><a name="implicit_conversion">Reflecting C++ Inheritance Relationships</a></h2>
<p>
Boost.Python also allows us to represent C++ inheritance relationships so that
wrapped derived classes may be passed where values, pointers, or
references to a base class are expected as arguments. The
<code>declare_base</code> member function of
<code>class_builder&lt;&gt;</code> is used to establish the relationship
between base and derived classes:
<blockquote>
<pre>
#include &lt;memory&gt; // for std::auto_ptr&lt;&gt;
struct Base {
virtual ~Base() {}
virtual const char* name() const { return "Base"; }
};
struct Derived : Base {
Derived() : x(-1) {}
virtual const char* name() const { return "Derived"; }
int x;
};
std::auto_ptr&lt;Base&gt; derived_as_base() {
return std::auto_ptr&lt;Base&gt;(new Derived);
}
const char* get_name(const Base& b) {
return b.name();
}
int get_derived_x(const Derived& d) {
return d.x;
}
<hr>
#include &lt;boost/python/class_builder.hpp&gt;
// namespace alias for code brevity
namespace python = boost::python;
BOOST_PYTHON_MODULE_INIT(my_module)
{
    python::module_builder my_module("my_module");
    python::class_builder&lt;Base&gt; base_class(my_module, "Base");
    base_class.def(python::constructor&lt;&gt;());
    python::class_builder&lt;Derived&gt; derived_class(my_module, "Derived");
    derived_class.def(python::constructor&lt;&gt;());
<b>// Establish the inheritance relationship between Base and Derived
derived_class.declare_base(base_class);</b>
my_module.def(derived_as_base, "derived_as_base");
my_module.def(get_name, "get_name");
my_module.def(get_derived_x, "get_derived_x");
}
</pre>
</blockquote>
<p>
Then, in Python:
<blockquote>
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; base = Base()
&gt;&gt;&gt; derived = Derived()
&gt;&gt;&gt; get_name(base)
'Base'
</pre>
</blockquote>
<i>objects of wrapped class Derived may be passed where Base is expected</i>
<blockquote>
<pre>
&gt;&gt;&gt; get_name(derived)
'Derived'
</pre>
</blockquote>
<i>objects of wrapped class Derived can be passed where Derived is
expected but where type information has been lost.</i>
<blockquote>
<pre>
&gt;&gt;&gt; get_derived_x(derived_as_base())
-1
</pre>
</blockquote>
<h2>Inheritance Without Virtual Functions</h2>
<p>
If for some reason your base class has no virtual functions but you still want
to represent the inheritance relationship between base and derived classes,
pass the special symbol <code>boost::python::without_downcast</code> as the 2nd parameter
to <code>declare_base</code>:
<blockquote>
<pre>
struct Base2 {};
struct Derived2 { int f(); };
<hr>
...
   python::class_builder&lt;Base&gt; base2_class(my_module, "Base2");
   base2_class.def(python::constructor&lt;&gt;());
   python::class_builder&lt;Derived2&gt; derived2_class(my_module, "Derived2");
   derived2_class.def(python::constructor&lt;&gt;());
derived_class.declare_base(base_class, <b>python::without_downcast</b>);
</pre>
</blockquote>
<p>This approach will allow <code>Derived2</code> objects to be passed where
<code>Base2</code> is expected, but does not attempt to implicitly convert (downcast)
smart-pointers to <code>Base2</code> into <code>Derived2</code> pointers,
references, or values.
<p>
Next: <a href="special.html">Special Method and Operator Support</a>
Previous: <a href="overloading.html">Function Overloading</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Nov 26, 2000
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Function Overloading
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="center"
src="../../../c++boost.gif" alt= "c++boost.gif (8819 bytes)">Function Overloading
</h1>
<h2>An Example</h2>
<p>
To expose overloaded functions in Python, simply <code>def()</code> each
one with the same Python name:
<blockquote>
<pre>
inline int f1() { return 3; }
inline int f2(int x) { return x + 1; }
class X {
public:
X() : m_value(0) {}
X(int n) : m_value(n) {}
int value() const { return m_value; }
void value(int v) { m_value = v; }
private:
int m_value;
};
...
BOOST_PYTHON_MODULE_INIT(overload_demo)
{
    try
    {
boost::python::module_builder overload_demo("overload_demo");
// Overloaded functions at module scope
overload_demo.def(f1, "f");
overload_demo.def(f2, "f");
boost::python::class_builder&lt;X&gt; x_class(overload_demo, "X");
// Overloaded constructors
x_class.def(boost::python::constructor&lt;&gt;());
x_class.def(boost::python::constructor&lt;int&gt;());
// Overloaded member functions
x_class.def((int (X::*)() const)&amp;X::value, "value");
x_class.def((void (X::*)(int))&amp;X::value, "value");
...
</pre>
</blockquote>
<p>
Now in Python:
<blockquote>
<pre>
>>> from overload_demo import *
>>> x0 = X()
>>> x1 = X(1)
>>> x0.value()
0
>>> x1.value()
1
>>> x0.value(3)
>>> x0.value()
3
>>> X('hello')
TypeError: No overloaded functions match (X, string). Candidates are:
void (*)()
void (*)(int)
>>> f()
3
>>> f(4)
5
</pre>
</blockquote>
<h2>Discussion</h2>
<p>
Notice that overloading in the Python module was produced three ways:<ol>
<li>by combining the non-overloaded C++ functions <code>int f1()</code>
and <code>int f2(int)</code> and exposing them as <code>f</code> in Python.
<li>by exposing the overloaded constructors of <code>class X</code>
<li>by exposing the overloaded member functions <code>X::value</code>.
</ol>
<p>
Techniques 1. and 3. above are really alternatives. In case 3, you need
to form a pointer to each of the overloaded functions. The casting
syntax shown above is one way to do that in C++. Case 1 does not require
complicated-looking casts, but may not be viable if you can't change
your C++ interface. N.B. There's really nothing unsafe about casting an
overloaded (member) function address this way: the compiler won't let
you write it at all unless you get it right.
<h2>An Alternative to Casting</h2>
<p>
This approach is not neccessarily better, but may be preferable for some
people who have trouble writing out the types of (member) function
pointers or simply prefer to avoid all casts as a matter of principle:
<blockquote>
<pre>
// Forwarding functions for X::value
inline void set_x_value(X&amp; self, int v) { self.value(v); }
inline int get_x_value(X&amp; self) { return self.value(); }
...
// Overloaded member functions
x_class.def(set_x_value, "value");
x_class.def(get_x_value, "value");
</pre>
</blockquote>
<p>Here we are taking advantage of the ability to expose C++ functions at
namespace scope as Python member functions.
<h2>Overload Resolution</h2>
<p>
The function overload resolution mechanism works as follows:
<ul>
<li>Attribute lookup for extension classes proceeds in <a
href="http://www.python.org/doc/current/tut/node11.html#SECTION0011510000000000000000">the
usual Python way</a> using a depth-first, left-to-right search. When a
class is found which has a matching attribute, only functions overloaded
in the context of that class are candidates for overload resolution. In
this sense, overload resolution mirrors the C++ mechanism, where a name
in a derived class ``hides'' all functions with the same name from a base
class.
<p>
<li>Within a name-space context (extension class or module), overloaded
functions are tried in the same order they were
<code>def()</code>ed. The first function whose signature can be made to
match each argument passed is the one which is ultimately called.
This means in particular that you cannot overload the same function on
both ``<code>int</code>'' and ``<code>float</code>'' because Python
automatically converts either of the two types into the other one.
If the ``<code>float</code>'' overload is found first, it is used
also used for arguments of type ``<code>int</code>'' as well, and the
``<code>int</code>'' version of the function is never invoked.
</ul>
<p>
Next: <a href="inheritance.html">Inheritance</a>
Previous: <a href="overriding.html">Overridable Virtual Functions</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2001. 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>
Updated: Mar 6, 2001
</div>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 3.2//EN">
<meta http-equiv="Content-Type" content="text/html; charset=windows-1252">
<title>Overridable Virtual Functions</title>
<img src="../../../c++boost.gif" alt="c++boost.gif (8819 bytes)" align="center"
width="277" height="86">
<h1>Overridable Virtual Functions</h1>
<p>
In the <a href="exporting_classes.html">previous example</a> we exposed a simple
C++ class in Python and showed that we could write a subclass. We even
redefined one of the functions in our derived class. Now we will learn
how to make the function behave virtually <em>when called from C++</em>.
<h2><a name="overriding_example">Example</a></h2>
<p>In this example, it is assumed that <code>hello::greet()</code> is a virtual
member function:
<blockquote><pre>
class hello
{
public:
hello(const std::string&amp; country) { this-&gt;country = country; }
<b>virtual</b> std::string greet() const { return "Hello from " + country; }
    virtual ~hello(); // Good practice
...
};
</pre></blockquote>
<p>
We'll need a derived class<a href="#why_derived">*</a> to help us
dispatch the call to Python. In our derived class, we need the following
elements:
<ol>
<li><a name="derived_1">A</a> <code>PyObject*</code> data member (usually
called <tt>self</tt>) that holds a pointer to the Python object corresponding
to our C++ <tt>hello</tt> instance.
<li><a name="derived_2">For</a> each exposed constructor of the
base class <tt>T</tt>, a constructor which takes the same parameters preceded by an initial
<code>PyObject*</code> argument. The initial argument should be stored in the <tt>self</tt> data
member described above.
<li><a name="derived_3">If</a> the class being wrapped is ever returned <i>by
value</i> from a wrapped function, be sure you do the same for the
<tt>T</tt>'s copy constructor: you'll need a constructor taking arguments
<tt>(PyObject*,&nbsp;const&nbsp;T&amp;)</tt>.
<li><a name="derived_4">An</a> implementation of each virtual function you may
wish to override in Python which uses
<tt>callback&lt</tt><i>return-type</i><tt>&gt;::call_method(self,&nbsp;&quot;</tt><i>name</i><tt>&quot;,&nbsp;</tt><i>args...</i><tt>)</tt> to call
the Python override.
<li><a name="derived_5">For</a> each non-pure virtual function meant to be
overridable from Python, a static member function (or a free function) taking
a reference or pointer to the <tt>T</tt> as the first parameter and which
forwards any additional parameters neccessary to the <i>default</i>
implementation of the virtual function. See also <a href="#private">this
note</a> if the base class virtual function is private.
</ol>
<blockquote><pre>
struct hello_callback : hello
{
// hello constructor storing initial self_ parameter
hello_callback(PyObject* self_, const std::string&amp; x) // <a href="#derived_2">2</a>
: hello(x), self(self_) {}
// In case hello is returned by-value from a wrapped function
hello_callback(PyObject* self_, const hello&amp; x) // <a href="#derived_3">3</a>
: hello(x), self(self_) {}
// Override greet to call back into Python
std::string greet() const // <a href="#derived_4">4</a>
{ return boost::python::callback&lt;std::string&gt;::call_method(self, "greet"); }
// Supplies the default implementation of greet
static std::string <a name= "default_implementation">default_greet</a>(const hello& self_) const // <a href="#derived_5">5</a>
{ return self_.hello::greet(); }
private:
PyObject* self; // <a href="#derived_1">1</a>
};
</pre></blockquote>
<p>
Finally, we add <tt>hello_callback</tt> to the <tt>
class_builder&lt;&gt;</tt> declaration in our module initialization
function, and when we define the function, we must tell Boost.Python about the default
implementation:
<blockquote><pre>
// Create the <a name=
"hello_class">Python type object</a> for our extension class
boost::python::class_builder&lt;hello<strong>,hello_callback&gt;</strong> hello_class(hello, "hello");
// Add a virtual member function
hello_class.def(&amp;hello::greet, "greet", &amp;<b>hello_callback::default_greet</b>);
</pre></blockquote>
<p>
Now our Python subclass of <tt>hello</tt> behaves as expected:
<blockquote><pre>
&gt;&gt;&gt; class wordy(hello):
... def greet(self):
... return hello.greet(self) + ', where the weather is fine'
...
&gt;&gt;&gt; hi2 = wordy('Florida')
&gt;&gt;&gt; hi2.greet()
'Hello from Florida, where the weather is fine'
&gt;&gt;&gt; invite(hi2)
'Hello from Florida, where the weather is fine! Please come soon!'
</pre></blockquote>
<p>
<a name="why_derived">*</a>You may ask, "Why do we need this derived
class? This could have been designed so that everything gets done right
inside of <tt>hello</tt>." 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.
<h2>Pure Virtual Functions</h2>
<p>
A pure virtual function with no implementation is actually a lot easier to
deal with than a virtual function with a default implementation. First of
all, you obviously don't need to <a href="#default_implementation"> supply
a default implementation</a>. Secondly, you don't need to call
<tt>def()</tt> on the <tt>extension_class&lt;&gt;</tt> instance
for the virtual function. In fact, you wouldn't <em>want</em> to: if the
corresponding attribute on the Python class stays undefined, you'll get an
<tt>AttributeError</tt> in Python when you try to call the function,
indicating that it should have been implemented. For example:
<blockquote>
<pre>
struct baz {
<strong>virtual</strong> int pure(int) = 0;
int calls_pure(int x) { return pure(x) + 1000; }
};
struct baz_callback {
int pure(int x) { boost::python::callback&lt;int&gt;::call_method(m_self, "pure", x); }
};
BOOST_PYTHON_MODULE_INIT(foobar)
{
boost::python::module_builder foobar("foobar");
boost::python::class_builder&lt;baz,baz_callback&gt; baz_class("baz");
baz_class.def(&amp;baz::calls_pure, "calls_pure");
}
</pre>
</blockquote>
<p>
Now in Python:
<blockquote>
<pre>
&gt;&gt;&gt; from foobar import baz
&gt;&gt;&gt; x = baz()
&gt;&gt;&gt; x.pure(1)
Traceback (innermost last):
File "&lt;stdin&gt;", line 1, in ?
AttributeError: pure
&gt;&gt;&gt; x.calls_pure(1)
Traceback (innermost last):
File "&lt;stdin&gt;", line 1, in ?
AttributeError: pure
&gt;&gt;&gt; class mumble(baz):
... def pure(self, x): return x + 1
...
&gt;&gt;&gt; y = mumble()
&gt;&gt;&gt; y.pure(99)
100
&gt;&gt;&gt; y.calls_pure(99)
1100
</pre></blockquote>
<a name="private"><h2>Private Non-Pure Virtual Functions</h2></a>
<p>This is one area where some minor intrusiveness on the wrapped library is
required. Once it has been overridden, the only way to call the base class
implementation of a private virtual function is to make the derived class a
friend of the base class. You didn't hear it from me, but most C++
implementations will allow you to change the declaration of the base class in
this limited way without breaking binary compatibility (though it will certainly
break the <a
href="http://cs.calvin.edu/c++/C++Standard-Nov97/basic.html#basic.def.odr">ODR</a>).
<hr>
<p>
Next: <a href="overloading.html">Function Overloading</a>
Previous: <a href="exporting_classes.html">Exporting Classes</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2001. 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>
Updated: Mar 21, 2001

View File

@@ -5,7 +5,7 @@
<div>
<img src="../../../../c++boost.gif"
<img src="../../../c++boost.gif"
alt="c++boost.gif (8819 bytes)"
align="center"
width="277" height="86">
@@ -26,14 +26,16 @@ converts nearly arbitrary Python objects into a stream of bytes that
can be written to a file.
<p>
The Boost Python Library supports the pickle module
through the interface as described in detail in the
The Boost Python Library supports the pickle module by emulating the
interface implemented by Jim Fulton's ExtensionClass module that is
included in the
<a href="http://www.zope.org/"
>ZOPE</a>
distribution.
This interface is similar to that for regular Python classes as
described in detail in the
<a href="http://www.python.org/doc/current/lib/module-pickle.html"
>Python Library Reference for pickle.</a> This interface
involves the special methods <tt>__getinitargs__</tt>,
<tt>__getstate__</tt> and <tt>__setstate__</tt> as described
in the following. Note that Boost.Python is also fully compatible
with Python's cPickle module.
>Python Library Reference for pickle.</a>
<hr>
<h2>The Boost.Python Pickle Interface</h2>
@@ -53,9 +55,8 @@ methods:
the class constructor.
<p>
If <tt>__getinitargs__</tt> is not defined, <tt>pickle.load</tt>
will call the constructor (<tt>__init__</tt>) without arguments;
i.e., the object must be default-constructible.
If <tt>__getinitargs__</tt> is not defined, the class constructor
will be called without arguments.
<p>
<dt>
@@ -67,137 +68,94 @@ methods:
This method should return a Python object representing the state of
the instance.
<p>
If <tt>__getstate__</tt> is not defined, the instance's
<tt>__dict__</tt> is pickled (if it is not empty).
<p>
<dt>
<strong><tt>__setstate__</tt></strong>
<dd>
When an instance of a Boost.Python extension class is restored by the
unpickler (<tt>pickle.load</tt>), it is first constructed using the
result of <tt>__getinitargs__</tt> as arguments (see above). Subsequently
the unpickler tests if the new instance has a <tt>__setstate__</tt>
unpickler, it is first constructed using the result of
<tt>__getinitargs__</tt> as arguments (see above). Subsequently the
unpickler tests if the new instance has a <tt>__setstate__</tt>
method. If so, this method is called with the result of
<tt>__getstate__</tt> (a Python object) as the argument.
<p>
If <tt>__setstate__</tt> is not defined, the result of
<tt>__getstate__</tt> must be a Python dictionary. The items of this
dictionary are added to the instance's <tt>__dict__</tt>.
</dl>
The three special methods described above may be <tt>.def()</tt>'ed
individually by the user. However, Boost.Python provides an easy to use
high-level interface via the
<strong><tt>boost::python::pickle_suite</tt></strong> class that also
enforces consistency: <tt>__getstate__</tt> and <tt>__setstate__</tt>
must be defined as pairs. Use of this interface is demonstrated by the
following examples.
If both <tt>__getstate__</tt> and <tt>__setstate__</tt> are defined,
the Python object returned by <tt>__getstate__</tt> need not be a
dictionary. The <tt>__getstate__</tt> and <tt>__setstate__</tt> methods
can do what they want.
<hr>
<h2>Examples</h2>
<h2>Pitfalls and Safety Guards</h2>
There are three files in <a href="../../test/"
><tt>boost/libs/python/test</tt></a> that show how to
provide pickle support.
In Boost.Python extension modules with many extension classes,
providing complete pickle support for all classes would be a
significant overhead. In general complete pickle support should only be
implemented for extension classes that will eventually be pickled.
However, the author of a Boost.Python extension module might not
anticipate correctly which classes need support for pickle.
Unfortunately, the pickle protocol described above has two important
pitfalls that the end user of a Boost.Python extension module might not
be aware of:
<hr>
<h3><a href="../../test/pickle1.cpp"><tt>pickle1.cpp</tt></a></h3>
<dl>
<dt>
<strong>Pitfall 1:</strong>
Both <tt>__getinitargs__</tt> and <tt>__getstate__</tt> are not defined.
The C++ class in this example can be fully restored by passing the
appropriate argument to the constructor. Therefore it is sufficient
to define the pickle interface method <tt>__getinitargs__</tt>.
This is done in the following way:
<dd>
In this situation the unpickler calls the class constructor without
arguments and then adds the <tt>__dict__</tt> that was pickled by
default to that of the new instance.
<p>
However, most C++ classes wrapped with Boost.Python will have member
data that are not restored correctly by this procedure. To alert the
user to this problem, a safety guard is provided. If both
<tt>__getinitargs__</tt> and <tt>__getstate__</tt> are not defined,
Boost.Python tests if the class has an attribute
<tt>__dict_defines_state__</tt>. An exception is raised if this
attribute is not defined:
<ul>
<li>1. Definition of the C++ pickle function:
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
static
boost::python::tuple
getinitargs(world const&amp; w)
{
return boost::python::make_tuple(w.get_country());
}
};
RuntimeError: Incomplete pickle support (__dict_defines_state__ not set)
</pre>
<li>2. Establishing the Python binding:
In the rare cases where this is not the desired behavior, the safety
guard can deliberately be disabled. The corresponding C++ code for
this is, e.g.:
<pre>
class_&lt;world&gt;("world", args&lt;const std::string&amp;&gt;())
// ...
.def_pickle(world_pickle_suite())
// ...
class_builder&lt;your_class&gt; py_your_class(your_module, "your_class");
py_your_class.dict_defines_state();
</pre>
</ul>
<hr>
<h3><a href="../../test/pickle2.cpp"><tt>pickle2.cpp</tt></a></h3>
It is also possible to override the safety guard at the Python level.
E.g.:
The C++ class in this example contains member data that cannot be
restored by any of the constructors. Therefore it is necessary to
provide the <tt>__getstate__</tt>/<tt>__setstate__</tt> pair of
pickle interface methods:
<ul>
<li>1. Definition of the C++ pickle functions:
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
static
boost::python::tuple
getinitargs(const world&amp; w)
{
// ...
}
static
boost::python::tuple
getstate(const world&amp; w)
{
// ...
}
static
void
setstate(world&amp; w, boost::python::tuple state)
{
// ...
}
};
import your_bpl_module
class your_class(your_bpl_module.your_class):
__dict_defines_state__ = 1
</pre>
<li>2. Establishing the Python bindings for the entire suite:
<pre>
class_&lt;world&gt;("world", args&lt;const std::string&amp;&gt;())
// ...
.def_pickle(world_pickle_suite())
// ...
</pre>
</ul>
<p>
For simplicity, the <tt>__dict__</tt> is not included in the result
of <tt>__getstate__</tt>. This is not generally recommended, but a
valid approach if it is anticipated that the object's
<tt>__dict__</tt> will always be empty. Note that the safety guard
described below will catch the cases where this assumption is violated.
<hr>
<h3><a href="../../test/pickle3.cpp"><tt>pickle3.cpp</tt></a></h3>
This example is similar to <a
href="../../test/pickle2.cpp"><tt>pickle2.cpp</tt></a>. However, the
object's <tt>__dict__</tt> is included in the result of
<tt>__getstate__</tt>. This requires a little more code but is
unavoidable if the object's <tt>__dict__</tt> is not always empty.
<hr>
<h2>Pitfall and Safety Guard</h2>
The pickle protocol described above has an important pitfall that the
end user of a Boost.Python extension module might not be aware of:
<p>
<strong>
<tt>__getstate__</tt> is defined and the instance's <tt>__dict__</tt>
is not empty.
</strong>
<p>
<dt>
<strong>Pitfall 2:</strong>
<tt>__getstate__</tt> is defined and the instance's <tt>__dict__</tt> is not empty.
<dd>
The author of a Boost.Python extension class might provide a
<tt>__getstate__</tt> method without considering the possibilities
that:
@@ -231,20 +189,15 @@ is not empty.
To resolve this problem, it should first be established that the
<tt>__getstate__</tt> and <tt>__setstate__</tt> methods manage the
instances's <tt>__dict__</tt> correctly. Note that this can be done
either at the C++ or the Python level. Finally, the safety guard
should intentionally be overridden. E.g. in C++ (from
<a href="../../test/pickle3.cpp"><tt>pickle3.cpp</tt></a>):
both at the C++ and the Python level. Finally, the safety guard
should intentionally be overridden. E.g. in C++:
<pre>
struct world_pickle_suite : boost::python::pickle_suite
{
// ...
static bool getstate_manages_dict() { return true; }
};
class_builder&lt;your_class&gt; py_your_class(your_module, "your_class");
py_your_class.getstate_manages_dict();
</pre>
Alternatively in Python:
In Python:
<pre>
import your_bpl_module
@@ -255,23 +208,16 @@ is not empty.
def __setstate__(self, state):
# your code here
</pre>
</dl>
<hr>
<h2>Practical Advice</h2>
<ul>
<li>
In Boost.Python extension modules with many extension classes,
providing complete pickle support for all classes would be a
significant overhead. In general complete pickle support should
only be implemented for extension classes that will eventually
be pickled.
<p>
<li>
Avoid using <tt>__getstate__</tt> if the instance can also be
reconstructed by way of <tt>__getinitargs__</tt>. This automatically
avoids the pitfall described above.
avoids Pitfall 2.
<p>
<li>
@@ -281,13 +227,46 @@ is not empty.
</ul>
<hr>
<h2>Examples</h2>
&copy; Copyright Ralf W. Grosse-Kunstleve 20012-2002. Permission to copy,
There are three files in <tt>boost/libs/python/example</tt> that
show how so provide pickle support.
<h3><a href="../example/pickle1.cpp"><tt>pickle1.cpp</tt></a></h3>
The C++ class in this example can be fully restored by passing the
appropriate argument to the constructor. Therefore it is sufficient
to define the pickle interface method <tt>__getinitargs__</tt>.
<h3><a href="../example/pickle2.cpp"><tt>pickle2.cpp</tt></a></h3>
The C++ class in this example contains member data that cannot be
restored by any of the constructors. Therefore it is necessary to
provide the <tt>__getstate__</tt>/<tt>__setstate__</tt> pair of
pickle interface methods.
<p>
For simplicity, the <tt>__dict__</tt> is not included in the result
of <tt>__getstate__</tt>. This is not generally recommended, but a
valid approach if it is anticipated that the object's
<tt>__dict__</tt> will always be empty. Note that the safety guards
will catch the cases where this assumption is violated.
<h3><a href="../example/pickle3.cpp"><tt>pickle3.cpp</tt></a></h3>
This example is similar to <a
href="../example/pickle2.cpp"><tt>pickle2.cpp</tt></a>. However, the
object's <tt>__dict__</tt> is included in the result of
<tt>__getstate__</tt>. This requires more code but is unavoidable
if the object's <tt>__dict__</tt> is not always empty.
<hr>
&copy; Copyright Ralf W. Grosse-Kunstleve 2001. 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>
Updated: Aug 2002.
Updated: March 21, 2001
</div>

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@@ -0,0 +1,148 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>
Pointers
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="center"
src="../../../c++boost.gif" alt= "c++boost.gif (8819 bytes)">Pointers
</h1>
<h2><a name="problem">The Problem With Pointers</a></h2>
<p>
In general, raw pointers passed to or returned from functions are problematic
for Boost.Python because pointers have too many potential meanings. Is it an iterator?
A pointer to a single element? An array? When used as a return value, is the
caller expected to manage (delete) the pointed-to object or is the pointer
really just a reference? If the latter, what happens to Python references to the
referent when some C++ code deletes it?
<p>
There are a few cases in which pointers are converted automatically:
<ul>
<li>Both const- and non-const pointers to wrapped class instances can be passed
<i>to</i> C++ functions.
<li>Values of type <code>const char*</code> are interpreted as
null-terminated 'C' strings and when passed to or returned from C++ functions are
converted from/to Python strings.
</ul>
<h3>Can you avoid the problem?</h3>
<p>My first piece of advice to anyone with a case not covered above is
``find a way to avoid the problem.'' For example, if you have just one
or two functions that return a pointer to an individual <code>const
T</code>, and <code>T</code> is a wrapped class, you may be able to write a ``thin
converting wrapper'' over those two functions as follows:
<blockquote><pre>
const Foo* f(); // original function
const Foo& f_wrapper() { return *f(); }
...
my_module.def(f_wrapper, "f");
</pre></blockquote>
<p>
Foo must have a public copy constructor for this technique to work, since Boost.Python
converts <code>const T&</code> values <code>to_python</code> by copying the <code>T</code>
value into a new extension instance.
<h2>Dealing with the problem</h2>
<p>The first step in handling the remaining cases is to figure out what the pointer
means. Several potential solutions are provided in the examples that follow:
<h3>Returning a pointer to a wrapped type</h3>
<h4>Returning a const pointer</h4>
<p>If you have lots of functions returning a <code>const T*</code> for some
wrapped <code>T</code>, you may want to provide an automatic
<code>to_python</code> conversion function so you don't have to write lots of
thin wrappers. You can do this simply as follows:
<blockquote><pre>
BOOST_PYTHON_BEGIN_CONVERSION_NAMESPACE // this is a gcc 2.95.2 bug workaround
PyObject* to_python(const Foo* p) {
return to_python(*p); // convert const Foo* in terms of const Foo&
}
BOOST_PYTHON_END_CONVERSION_NAMESPACE
</pre></blockquote>
<h4>If you can't (afford to) copy the referent, or the pointer is non-const</h4>
<p>If the wrapped type doesn't have a public copy constructor, if copying is
<i>extremely</i> costly (remember, we're dealing with Python here), or if the
pointer is non-const and you really need to be able to modify the referent from
Python, you can use the following dangerous trick. Why dangerous? Because python
can not control the lifetime of the referent, so it may be destroyed by your C++
code before the last Python reference to it disappears:
<blockquote><pre>
BOOST_PYTHON_BEGIN_CONVERSION_NAMESPACE // this is a gcc 2.95.2 bug workaround
PyObject* to_python(Foo* p)
{
return boost::python::python_extension_class_converters&lt;Foo&gt;::smart_ptr_to_python(p);
}
PyObject* to_python(const Foo* p)
{
return to_python(const_cast&lt;Foo*&gt;(p));
}
BOOST_PYTHON_END_CONVERSION_NAMESPACE
</pre></blockquote>
This will cause the Foo* to be treated as though it were an owning smart
pointer, even though it's not. Be sure you don't use the reference for anything
from Python once the pointer becomes invalid, though. Don't worry too much about
the <code>const_cast&lt;&gt;</code> above: Const-correctness is completely lost
to Python anyway!
<h3>[In/]Out Parameters and Immutable Types</h3>
<p>If you have an interface that uses non-const pointers (or references) as
in/out parameters to types which in Python are immutable (e.g. int, string),
there simply is <i>no way</i> to get the same interface in Python. You must
resort to transforming your interface with simple thin wrappers as shown below:
<blockquote><pre>
const void f(int* in_out_x); // original function
const int f_wrapper(int in_x) { f(in_x); return in_x; }
...
my_module.def(f_wrapper, "f");
</pre></blockquote>
<p>Of course, [in/]out parameters commonly occur only when there is already a
return value. You can handle this case by returning a Python tuple:
<blockquote><pre>
typedef unsigned ErrorCode;
const char* f(int* in_out_x); // original function
...
#include &lt;boost/python/objects.hpp&gt;
const boost::python::tuple f_wrapper(int in_x) {
const char* s = f(in_x);
return boost::python::tuple(s, in_x);
}
...
my_module.def(f_wrapper, "f");
</pre></blockquote>
<p>Now, in Python:
<blockquote><pre>
&gt;&gt;&gt; str,out_x = f(3)
</pre></blockquote>
<p>
Previous: <a href="enums.html">Enums</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
Updated: Nov 26, 2000
</div>

106
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@@ -0,0 +1,106 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0//EN"
"http://www.w3.org/TR/REC-html40/strict.dtd">
<title>Rich Comparisons</title>
<div>
<img src="../../../c++boost.gif"
alt="c++boost.gif (8819 bytes)"
align="center"
width="277" height="86">
<hr>
<h1>Rich Comparisons</h1>
<hr>
In Python versions up to and including Python 2.0, support for
implementing comparisons on user-defined classes and extension types
was quite simple. Classes could implement a <tt>__cmp__</tt> method
that was given two instances of a class as arguments, and could only
return <tt>0</tt> if they were equal or <tt>+1</tt> or <tt>-1</tt> if
they were not. The method could not raise an exception or return
anything other than an integer value.
In Python 2.1, <b>Rich Comparisons</b> were added (see
<a href="http://python.sourceforge.net/peps/pep-0207.html">PEP 207</a>).
Python classes can now individually overload each of the &lt;, &lt;=,
&gt;, &gt;=, ==, and != operations.
<p>
For more detailed information, search for "rich comparison"
<a href="http://www.python.org/doc/current/ref/customization.html"
>here</a>.
<p>
Boost.Python supports both automatic overloading and manual overloading
of the Rich Comparison operators. The <b>compile-time</b> support is
independent of the Python version that is used when compiling
Boost.Python extension modules. That is, <tt>op_lt</tt> for example can
always be used, and the C++ <tt>operator&lt;</tt> will always be bound
to the Python method <tt>__lt__</tt>. However, the <b>run-time</b>
behavior will depend on the Python version.
<p>
With Python versions before 2.1, the Rich Comparison operators will not
be called by Python when any of the six comparison operators
(<tt>&lt;</tt>, <tt>&lt;=</tt>, <tt>==</tt>, <tt>!=</tt>,
<tt>&gt;</tt>, <tt>&gt;=</tt>) is used in an expression. The only way
to access the corresponding methods is to call them explicitly, e.g.
<tt>a.__lt__(b)</tt>. Only with Python versions 2.1 or higher will
expressions like <tt>a &lt; b</tt> work as expected.
<p>
To support Rich Comparisions, the Python C API was modified between
Python versions 2.0 and 2.1. A new slot was introduced in the
<tt>PyTypeObject</tt> structure: <tt>tp_richcompare</tt>. For backwards
compatibility, a flag (<tt>Py_TPFLAGS_HAVE_RICHCOMPARE</tt>) has to be
set to signal to the Python interpreter that Rich Comparisions are
supported by a particular type.
There is only one flag for all the six comparison operators.
When any of the six operators is wrapped automatically or
manually, Boost.Python will set this flag. Attempts to use comparison
operators at the Python level that are not defined at the C++ level
will then lead to an <tt>AttributeError</tt> when the Python 2.1
(or higher) interpreter tries, e.g., <tt>a.__lt__(b)</tt>. That
is, in general all six operators should be supplied. Automatically
wrapped operators and manually wrapped operators can be mixed. For
example:<pre>
boost::python::class_builder&lt;code&gt; py_code(this_module, "code");
py_code.def(boost::python::constructor&lt;&gt;());
py_code.def(boost::python::constructor&lt;int&gt;());
py_code.def(boost::python::operators&lt;( boost::python::op_eq
| boost::python::op_ne)&gt;());
py_code.def(NotImplemented, "__lt__");
py_code.def(NotImplemented, "__le__");
py_code.def(NotImplemented, "__gt__");
py_code.def(NotImplemented, "__ge__");
</pre>
<tt>NotImplemented</tt> is a simple free function that (currently) has
to be provided by the user. For example:<pre>
boost::python::ref
NotImplemented(const code&amp;, const code&amp;) {
return
boost::python::ref(Py_NotImplemented, boost::python::ref::increment_count);
}
</pre>
See also:
<ul>
<li><a href="../example/richcmp1.cpp"><tt>../example/richcmp1.cpp</tt></a>
<li><a href="../example/richcmp2.cpp"><tt>../example/richcmp2.cpp</tt></a>
<li><a href="../example/richcmp3.cpp"><tt>../example/richcmp3.cpp</tt></a>
</ul>
<hr>
&copy; Copyright Nicholas K. Sauter &amp; Ralf W. Grosse-Kunstleve 2001.
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>
Updated: July 2001
</div>

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<title>
Special Method and Operator Support
</title>
<div>
<h1>
<img width="277" height="86" id="_x0000_i1025" align="middle" src=
"../../../c++boost.gif" alt="c++boost.gif (8819 bytes)">Special Method and
Operator Support
</h1>
<h2>
Overview
</h2>
<p>
Boost.Python supports all of the standard <a href=
"http://www.python.org/doc/current/ref/specialnames.html">
special method names</a> supported by real Python class instances <em>
except</em> <code>__complex__</code> (more on the reasons <a href=
"#reasons">below</a>). In addition, it can quickly and easily expose
suitable C++ functions and operators as Python operators. The following
categories of special method names are supported:
<ul>
<li><a href="#general">Basic Customization</a>
<li><a href="#numeric">Numeric Operators</a>
<li><a href="#sequence_and_mapping">Sequence and Mapping protocols</a>
<li><a href="#getter_setter">Attribute Getters and Setters</a>
</ul>
<h2><a name="general">Basic Customization</a></h2>
<p>
Python provides a number of special operators for basic customization of a
class. Only a brief description is provided below; more complete
documentation can be found <a
href="http://www.python.org/doc/current/ref/customization.html">here</a>.
<dl>
<dt>
<b><tt class='method'>__init__</tt></b>(<i>self</i>)
<dd>
Initialize the class instance. For extension classes not subclassed in
Python, <code> __init__</code> is defined by
<pre> my_class.def(boost::python::constructor<...>())</pre>
(see section <a href="example1.html">"A Simple Example Using Boost.Python"</a>).<p>
<dt>
<b><tt class='method'>__del__</tt></b>(<i>self</i>)
<dd>
Called when the extension instance is about to be destroyed. For extension classes
not subclassed in Python, <code> __del__</code> is always defined automatically by
means of the class' destructor.
<dt>
<b><tt class='method'>__repr__</tt></b>(<i>self</i>)
<dd>
Create a string representation from which the object can be
reconstructed.
<dt>
<b><tt class='method'>__str__</tt></b>(<i>self</i>)
<dd>
Create a string representation which is suitable for printing.
<dt>
<b><tt class='method'>__lt__</tt></b>(<i>self, other</i>)
<dt>
<b><tt class='method'>__le__</tt></b>(<i>self, other</i>)
<dt>
<b><tt class='method'>__eq__</tt></b>(<i>self, other</i>)
<dt>
<b><tt class='method'>__ne__</tt></b>(<i>self, other</i>)
<dt>
<b><tt class='method'>__gt__</tt></b>(<i>self, other</i>)
<dt>
<b><tt class='method'>__ge__</tt></b>(<i>self, other</i>)
<dd>
Rich Comparison methods.
New in Python 2.1.
See <a href="richcmp.html">Rich Comparisons</a>.
<dt>
<b><tt class='method'>__cmp__</tt></b>(<i>self, other</i>)
<dd>
Three-way compare function.
See <a href="richcmp.html">Rich Comparisons</a>.
<dt>
<b><tt class='method'>__hash__</tt></b>(<i>self</i>)
<dd>
Called for the key object for dictionary operations, and by the
built-in function hash(). Should return a 32-bit integer usable as a
hash value for dictionary operations (only allowed if __cmp__ is also
defined)
<dt>
<b><tt class='method'>__nonzero__</tt></b>(<i>self</i>)
<dd>
called if the object is used as a truth value (e.g. in an if
statement)
<dt>
<b><tt class='method'>__call__</tt></b> (<var>self</var><big>[</big><var>, args...</var><big>]</big>)
<dd>
Called when the instance is ``called'' as a function; if this method
is defined, <code><var>x</var>(arg1, arg2, ...)</code> is a shorthand for
<code><var>x</var>.__call__(arg1, arg2, ...)</code>.
</dl>
If we have a suitable C++ function that supports any of these features,
we can export it like any other function, using its Python special name.
For example, suppose that class <code>Foo</code> provides a string
conversion function:
<blockquote><pre>
std::string to_string(Foo const&amp; f)
{
std::ostringstream s;
s &lt;&lt; f;
return s.str();
}
</pre></blockquote>
This function would be wrapped like this:
<blockquote><pre>
boost::python::class_builder&lt;Foo&gt; foo_class(my_module, "Foo");
foo_class.def(&amp;to_string, "__str__");
</pre></blockquote>
Note that Boost.Python also supports <em>automatic wrapping</em> of
<code>__str__</code> and <code>__cmp__</code>. This is explained in the <a
href="#numeric">next section</a> and the <a href="#numeric_table">Table of
Automatically Wrapped Methods</a>.
<h2><a name="numeric">Numeric Operators</a></h2>
<p>
Numeric operators can be exposed manually, by <code>def</code>ing C++
[member] functions that support the standard Python <a
href="http://www.python.org/doc/current/ref/numeric-types.html">numeric
protocols</a>. This is the same basic technique used to expose
<code>to_string()</code> as <code>__str__()</code> above, and is <a
href="#numeric_manual">covered in detail below</a>. Boost.Python also supports
<i>automatic wrapping</i> of numeric operators whenever they have already
been defined in C++.
<h3><a name="numeric_auto">Exposing C++ Operators Automatically</a></h3>
<p>
Supose we wanted to expose a C++ class
<code>BigNum</code> which supports addition. That is, in C++ we can write:
<blockquote><pre>
BigNum a, b, c;
...
c = a + b;
</pre></blockquote>
<p>
To enable the same functionality in Python, we first wrap the <code>
BigNum</code> class as usual:
<blockquote><pre>
boost::python::class_builder&lt;BigNum&gt; bignum_class(my_module, "BigNum");
bignum_class.def(boost::python::constructor&lt;&gt;());
...
</pre></blockquote>
Then we export the addition operator like this:
<blockquote><pre>
bignum_class.def(boost::python::operators&lt;boost::python::op_add&gt;());
</pre></blockquote>
Since BigNum also supports subtraction, multiplication, and division, we
want to export those also. This can be done in a single command by
``or''ing the operator identifiers together (a complete list of these
identifiers and the corresponding operators can be found in the <a href=
"#numeric_table">Table of Automatically Wrapped Methods</a>):
<blockquote><pre>
bignum_class.def(boost::python::operators&lt;(boost::python::op_sub | boost::python::op_mul | boost::python::op_div)&gt;());
</pre></blockquote>
[Note that the or-expression must be enclosed in parentheses.]
<p>This form of operator definition can be used to wrap unary and
homogeneous binary operators (a <i>homogeneous</i> operator has left and
right operands of the same type). Now suppose that our C++ library also
supports addition of BigNums and plain integers:
<blockquote><pre>
BigNum a, b;
int i;
...
a = b + i;
a = i + b;
</pre></blockquote>
To wrap these heterogeneous operators, we need to specify a different type for
one of the operands. This is done using the <code>right_operand</code>
and <code>left_operand</code> templates:
<blockquote><pre>
bignum_class.def(boost::python::operators&lt;boost::python::op_add&gt;(), boost::python::right_operand&lt;int&gt;());
bignum_class.def(boost::python::operators&lt;boost::python::op_add&gt;(), boost::python::left_operand&lt;int&gt;());
</pre></blockquote>
Boost.Python uses overloading to register several variants of the same
operation (more on this in the context of <a href="#coercion">
coercion</a>). Again, several operators can be exported at once:
<blockquote><pre>
bignum_class.def(boost::python::operators&lt;(boost::python::op_sub | boost::python::op_mul | boost::python::op_div)&gt;(),
boost::python::right_operand&lt;int&gt;());
bignum_class.def(boost::python::operators&lt;(boost::python::op_sub | boost::python::op_mul | boost::python::op_div)&gt;(),
boost::python::left_operand&lt;int&gt;());
</pre></blockquote>
The type of the operand not mentioned is taken from the class being wrapped. In
our example, the class object is <code>bignum_class</code>, and thus the
other operand's type is ``<code>BigNum const&amp;</code>''. You can override
this default by explicitly specifying a type in the <code>
operators</code> template:
<blockquote><pre>
bignum_class.def(boost::python::operators&lt;boost::python::op_add, BigNum&gt;(), boost::python::right_operand&lt;int&gt;());
</pre></blockquote>
<p>
Note that automatic wrapping uses the <em>expression</em>
``<code>left + right</code>'' and can be used uniformly
regardless of whether the C++ operators are supplied as free functions
<blockquote><pre>
BigNum operator+(BigNum, BigNum)
</pre></blockquote>
or as member functions
<blockquote><pre>
BigNum::operator+(BigNum).
</pre></blockquote>
<p>
For the Python built-in functions <code>pow()</code> and
<code>abs()</code>, there is no corresponding C++ operator. Instead,
automatic wrapping attempts to wrap C++ functions of the same name. This
only works if those functions are known in namespace
<code>python</code>. On some compilers (e.g. MSVC) it might be
necessary to add a using declaration prior to wrapping:
<blockquote><pre>
namespace boost { namespace python {
using my_namespace::pow;
using my_namespace::abs;
}
</pre></blockquote>
<h3><a name="numeric_manual">Wrapping Numeric Operators Manually</a></h3>
<p>
In some cases, automatic wrapping of operators may be impossible or
undesirable. Suppose, for example, that the modulo operation for BigNums
is defined by a set of functions called <code>mod()</code>:
<blockquote><pre>
BigNum mod(BigNum const&amp; left, BigNum const&amp; right);
BigNum mod(BigNum const&amp; left, int right);
BigNum mod(int left, BigNum const&amp; right);
</pre></blockquote>
<p>
For automatic wrapping of the modulo function, <code>operator%()</code> would be needed.
Therefore, the <code>mod()</code>-functions must be wrapped manually. That is, we have
to export them explicitly with the Python special name "__mod__":
<blockquote><pre>
bignum_class.def((BigNum (*)(BigNum const&amp;, BigNum const&amp;))&amp;mod, "__mod__");
bignum_class.def((BigNum (*)(BigNum const&amp;, int))&amp;mod, "__mod__");
</pre></blockquote>
<p>
The third form of <code>mod()</code> (with <code>int</code> as left operand) cannot
be wrapped directly. We must first create a function <code>rmod()</code> with the
operands reversed:
<blockquote><pre>
BigNum rmod(BigNum const&amp; right, int left)
{
return mod(left, right);
}
</pre></blockquote>
This function must be wrapped under the name "__rmod__" (standing for "reverse mod"):
<blockquote><pre>
bignum_class.def(&amp;rmod, "__rmod__");
</pre></blockquote>
Many of the possible operator names can be found in the <a href=
"#numeric_table">Table of Automatically Wrapped Methods</a>. Special treatment is
necessary to export the <a href="#ternary_pow">ternary pow</a> operator.
<p>
Automatic and manual wrapping can be mixed arbitrarily. Note that you
cannot overload the same operator for a given extension class on both
``<code>int</code>'' and ``<code>float</code>'', because Python implicitly
converts these types into each other. Thus, the overloaded variant
found first (be it ``<code>int</code>`` or ``<code>float</code>'') will be
used for either of the two types.
<h3><a name="inplace">Inplace Operators</a></h3>
<p>
Boost.Python can also be used to expose inplace numeric operations
(i.e., <code>+=</code> and so forth). These operators must be wrapped
manually, as described in the previous section. For example, suppose
the class BigNum has an <code>operator+=</code>:
<blockquote><pre>
BigNum& operator+= (BigNum const&amp; right);
</pre></blockquote>
This can be exposed by first writing a wrapper function:
<blockquote><pre>
BigNum& iadd (BigNum&amp; self, const BigNum&amp; right)
{
return self += right;
}
</pre></blockquote>
and then exposing the wrapper with
<blockquote><pre>
bignum_class.def(&amp;iadd, "__iadd__");
</pre></blockquote>
<h3><a name="coercion">Coercion</a></h3>
Plain Python can only execute operators with identical types on the left
and right hand side. If it encounters an expression where the types of
the left and right operand differ, it tries to coerce these types to a
common type before invoking the actual operator. Implementing good
coercion functions can be difficult if many type combinations must be
supported.
<p>
Boost.Python solves this problem the same way that C++ does: with <em><a
href="overloading.html">overloading</a></em>. This technique drastically
simplifies the code neccessary to support operators: you just register
operators for all desired type combinations, and Boost.Python automatically
ensures that the correct function is called in each case; there is no
need for user-defined coercion functions. To enable operator
overloading, Boost.Python provides a standard coercion which is <em>implicitly
registered</em> whenever automatic operator wrapping is used.
<p>
If you wrap all operator functions manually, but still want to use
operator overloading, you have to register the standard coercion
function explicitly:
<blockquote><pre>
// this is not necessary if automatic operator wrapping is used
bignum_class.def_standard_coerce();
</pre></blockquote>
If you encounter a situation where you absolutely need a customized
coercion, you can still define the "__coerce__" operator manually. The signature
of a coercion function should look like one of the following (the first is
the safest):
<blockquote><pre>
boost::python::tuple custom_coerce(boost::python::reference left, boost::python::reference right);
boost::python::tuple custom_coerce(PyObject* left, PyObject* right);
PyObject* custom_coerce(PyObject* left, PyObject* right);
</pre></blockquote>
The resulting <code>tuple</code> must contain two elements which
represent the values of <code>left</code> and <code>right</code>
converted to the same type. Such a function is wrapped as usual:
<blockquote><pre>
// this must be called before any use of automatic operator
// wrapping or a call to some_class.def_standard_coerce()
some_class.def(&amp;custom_coerce, "__coerce__");
</pre></blockquote>
Note that the standard coercion (defined by use of automatic
operator wrapping on a <code>class_builder</code> or a call to
<code>class_builder::def_standard_coerce()</code>) will never be applied if
a custom coercion function has been registered. Therefore, in
your coercion function you should call
<blockquote><pre>
boost::python::standard_coerce(left, right);
</pre></blockquote>
for all cases that you don't want to handle yourself.
<h3><a name="ternary_pow">The Ternary <code>pow()</code> Operator</a></h3>
<p>
In addition to the usual binary <code>pow(x, y)</code> operator (meaning
<i>x<sup>y</sup></i>), Python also provides a ternary variant that implements
<i>x<sup>y</sup> <b>mod</b> z</i>, presumably using a more efficient algorithm than
concatenation of power and modulo operators. Automatic operator wrapping
can only be used with the binary variant. Ternary <code>pow()</code> must
always be wrapped manually. For a homgeneous ternary <code>pow()</code>,
this is done as usual:
<blockquote><pre>
BigNum power(BigNum const&amp; first, BigNum const&amp; second, BigNum const&amp; modulus);
typedef BigNum (ternary_function1)(const BigNum&amp;, const BigNum&amp;, const BigNum&amp;);
...
bignum_class.def((ternary_function1)&amp;power, "__pow__");
</pre></blockquote>
If you want to support this function with non-uniform argument
types, wrapping is a little more involved. Suppose you have to wrap:
<blockquote><pre>
BigNum power(BigNum const&amp; first, int second, int modulus);
BigNum power(int first, BigNum const&amp; second, int modulus);
BigNum power(int first, int second, BigNum const&amp; modulus);
</pre></blockquote>
The first variant can be wrapped as usual:
<blockquote><pre>
typedef BigNum (ternary_function2)(const BigNum&amp;, int, int);
bignum_class.def((ternary_function2)&amp;power, "__pow__");
</pre></blockquote>
In the second variant, however, <code>BigNum</code> appears only as second
argument, and in the last one it's the third argument. These functions
must be presented to Boost.Python such that that the <code>BigNum</code>
argument appears in first position:
<blockquote><pre>
BigNum rpower(BigNum const&amp; second, int first, int modulus)
{
return power(first, second, modulus);
}
BigNum rrpower(BigNum const&amp; modulus, int first, int second)
{
return power(first, second, modulus);
}
</pre></blockquote>
<p>These functions must be wrapped under the names "__rpow__" and "__rrpow__"
respectively:
<blockquote><pre>
bignum_class.def((ternary_function2)&amp;rpower, "__rpow__");
bignum_class.def((ternary_function2)&amp;rrpower, "__rrpow__");
</pre></blockquote>
Note that "__rrpow__" is an extension not present in plain Python.
<h2><a name="numeric_table">Table of Automatically Wrapped Methods</a></h2>
<p>
Boost.Python can automatically wrap the following <a href=
"http://www.python.org/doc/current/ref/specialnames.html">
special methods</a>:
<p>
<table summary="special numeric methods" cellpadding="5" border="1"
width="100%">
<tr>
<td align="center">
<b>Python Operator Name</b>
<td align="center">
<b>Python Expression</b>
<td align="center">
<b>C++ Operator Id</b>
<td align="center">
<b>C++ Expression Used For Automatic Wrapping</b><br>
with <code>cpp_left = from_python(left,
type&lt;Left&gt;())</code>,<br>
<code>cpp_right = from_python(right,
type&lt;Right&gt;())</code>,<br>
and <code>cpp_oper = from_python(oper, type&lt;Oper&gt;())</code>
<tr>
<td>
<code>__add__, __radd__</code>
<td>
<code>left + right</code>
<td>
<code>op_add</code>
<td>
<code>cpp_left + cpp_right</code>
<tr>
<td>
<code>__sub__, __rsub__</code>
<td>
<code>left - right</code>
<td>
<code>op_sub</code>
<td>
<code>cpp_left - cpp_right</code>
<tr>
<td>
<code>__mul__, __rmul__</code>
<td>
<code>left * right</code>
<td>
<code>op_mul</code>
<td>
<code>cpp_left * cpp_right</code>
<tr>
<td>
<code>__div__, __rdiv__</code>
<td>
<code>left / right</code>
<td>
<code>op_div</code>
<td>
<code>cpp_left / cpp_right</code>
<tr>
<td>
<code>__mod__, __rmod__</code>
<td>
<code>left % right</code>
<td>
<code>op_mod</code>
<td>
<code>cpp_left % cpp_right</code>
<tr>
<td>
<code>__divmod__, __rdivmod__</code>
<td>
<code>(quotient, remainder)<br>
= divmod(left, right)</code>
<td>
<code>op_divmod</code>
<td>
<code>cpp_left / cpp_right</code>
<br><code>cpp_left % cpp_right</code>
<tr>
<td>
<code>__pow__, __rpow__</code>
<td>
<code>pow(left, right)</code><br>
(binary power)
<td>
<code>op_pow</code>
<td>
<code>pow(cpp_left, cpp_right)</code>
<tr>
<td>
<code>__rrpow__</code>
<td>
<code>pow(left, right, modulo)</code><br>
(ternary power modulo)
<td colspan="2">
no automatic wrapping, <a href="#ternary_pow">special treatment</a>
required
<tr>
<td>
<code>__lshift__, __rlshift__</code>
<td>
<code>left &lt;&lt; right</code>
<td>
<code>op_lshift</code>
<td>
<code>cpp_left &lt;&lt; cpp_right</code>
<tr>
<td>
<code>__rshift__, __rrshift__</code>
<td>
<code>left &gt;&gt; right</code>
<td>
<code>op_rshift</code>
<td>
<code>cpp_left &gt;&gt; cpp_right</code>
<tr>
<td>
<code>__and__, __rand__</code>
<td>
<code>left &amp; right</code>
<td>
<code>op_and</code>
<td>
<code>cpp_left &amp; cpp_right</code>
<tr>
<td>
<code>__xor__, __rxor__</code>
<td>
<code>left ^ right</code>
<td>
<code>op_xor</code>
<td>
<code>cpp_left ^ cpp_right</code>
<tr>
<td>
<code>__or__, __ror__</code>
<td>
<code>left | right</code>
<td>
<code>op_or</code>
<td>
<code>cpp_left | cpp_right</code>
<tr>
<td>
<code>__cmp__, __rcmp__</code>
<td>
<code>cmp(left, right)</code><br>
<br>See <a href="richcmp.html">Rich Comparisons</a>.
<td>
<code>op_cmp</code>
<td>
<code>cpp_left &lt; cpp_right </code>
<br><code>cpp_right &lt; cpp_left</code>
<tr>
<td>
<code>__lt__</code>
<br><code>__le__</code>
<br><code>__eq__</code>
<br><code>__ne__</code>
<br><code>__gt__</code>
<br><code>__ge__</code>
<td>
<code>left &lt; right</code>
<br><code>left &lt;= right</code>
<br><code>left == right</code>
<br><code>left != right</code>
<br><code>left &gt; right</code>
<br><code>left &gt;= right</code>
<br>See <a href="richcmp.html">Rich Comparisons</a>
<td>
<code>op_lt</code>
<br><code>op_le</code>
<br><code>op_eq</code>
<br><code>op_ne</code>
<br><code>op_gt</code>
<br><code>op_ge</code>
<td>
<code>cpp_left &lt; cpp_right </code>
<br><code>cpp_left &lt;= cpp_right </code>
<br><code>cpp_left == cpp_right </code>
<br><code>cpp_left != cpp_right </code>
<br><code>cpp_left &gt; cpp_right </code>
<br><code>cpp_left &gt;= cpp_right </code>
<tr>
<td>
<code>__neg__</code>
<td>
<code>-oper </code> (unary negation)
<td>
<code>op_neg</code>
<td>
<code>-cpp_oper</code>
<tr>
<td>
<code>__pos__</code>
<td>
<code>+oper </code> (identity)
<td>
<code>op_pos</code>
<td>
<code>+cpp_oper</code>
<tr>
<td>
<code>__abs__</code>
<td>
<code>abs(oper) </code> (absolute value)
<td>
<code>op_abs</code>
<td>
<code>abs(cpp_oper)</code>
<tr>
<td>
<code>__invert__</code>
<td>
<code>~oper </code> (bitwise inversion)
<td>
<code>op_invert</code>
<td>
<code>~cpp_oper</code>
<tr>
<td>
<code>__int__</code>
<td>
<code>int(oper) </code> (integer conversion)
<td>
<code>op_int</code>
<td>
<code>long(cpp_oper)</code>
<tr>
<td>
<code>__long__</code>
<td>
<code>long(oper) </code><br>
(infinite precision integer conversion)
<td>
<code>op_long</code>
<td>
<code>PyLong_FromLong(cpp_oper)</code>
<tr>
<td>
<code>__float__</code>
<td>
<code>float(oper) </code> (float conversion)
<td>
<code>op_float</code>
<td>
<code>double(cpp_oper)</code>
<tr>
<td>
<code>__str__</code>
<td>
<code>str(oper) </code> (string conversion)
<td>
<code>op_str</code>
<td>
<code>std::ostringstream s; s &lt;&lt; oper;</code>
<tr>
<td>
<code>__coerce__</code>
<td>
<code>coerce(left, right)</code>
<td colspan="2">
usually defined automatically, otherwise <a href="#coercion">
special treatment</a> required
</table>
<h2><a name="sequence_and_mapping">Sequence and Mapping Operators</a></h2>
<p>
Sequence and mapping operators let wrapped objects behave in accordance
to Python's iteration and access protocols. These protocols differ
considerably from the ones found in C++. For example, Python's typical
iteration idiom looks like
<blockquote><pre>
for i in S:
</pre></blockquote>
while in C++ one writes
<blockquote><pre>
for (iterator i = S.begin(), end = S.end(); i != end; ++i)
</pre></blockquote>
<p>One could try to wrap C++ iterators in order to carry the C++ idiom into
Python. However, this does not work very well because
<ol>
<li>It leads to
non-uniform Python code (wrapped sequences support a usage different from
Python built-in sequences) and
<li>Iterators (e.g. <code>std::vector::iterator</code>) are often implemented as plain C++
pointers which are <a href="pointers.html#problem">problematic</a> for any automatic
wrapping system.
</ol>
<p>
It is a better idea to support the standard <a
href="http://www.python.org/doc/current/ref/sequence-types.html">Python
sequence and mapping protocols</a> for your wrapped containers. These
operators have to be wrapped manually because there are no corresponding
C++ operators that could be used for automatic wrapping. The Python
documentation lists the relevant <a href=
"http://www.python.org/doc/current/ref/sequence-types.html">
container operators</a>. In particular, expose __getitem__, __setitem__
and remember to raise the appropriate Python exceptions
(<code>PyExc_IndexError</code> for sequences,
<code>PyExc_KeyError</code> for mappings) when the requested item is not
present.
<p>
In the following example, we expose <code>std::map&lt;std::size_t,std::string&gt;</code>:
<blockquote>
<pre>
typedef std::map&lt;std::size_t, std::string&gt; StringMap;
// A helper function for dealing with errors. Throw a Python exception
// if p == m.end().
void throw_key_error_if_end(
const StringMap&amp; m,
StringMap::const_iterator p,
std::size_t key)
{
if (p == m.end())
{
PyErr_SetObject(PyExc_KeyError, boost::python::converters::to_python(key));
boost::python::throw_error_already_set();
}
}
// Define some simple wrapper functions which match the Python protocol
// for __getitem__, __setitem__, and __delitem__. Just as in Python, a
// free function with a ``self'' first parameter makes a fine class method.
const std::string&amp; get_item(const StringMap&amp; self, std::size_t key)
{
const StringMap::const_iterator p = self.find(key);
throw_key_error_if_end(self, p, key);
return p-&gt;second;
}
// Sets the item corresponding to key in the map.
void StringMapPythonClass::set_item(StringMap&amp; self, std::size_t key, const std::string&amp; value)
{
self[key] = value;
}
// Deletes the item corresponding to key from the map.
void StringMapPythonClass::del_item(StringMap&amp; self, std::size_t key)
{
const StringMap::iterator p = self.find(key);
throw_key_error_if_end(self, p, key);
self.erase(p);
}
class_builder&lt;StringMap&gt; string_map(my_module, "StringMap");
string_map.def(boost::python::constructor&lt;&gt;());
string_map.def(&amp;StringMap::size, "__len__");
string_map.def(get_item, "__getitem__");
string_map.def(set_item, "__setitem__");
string_map.def(del_item, "__delitem__");
</pre>
</blockquote>
<p>
Then in Python:
<blockquote>
<pre>
&gt;&gt;&gt; m = StringMap()
&gt;&gt;&gt; m[1]
Traceback (innermost last):
File "&lt;stdin&gt;", line 1, in ?
KeyError: 1
&gt;&gt;&gt; m[1] = 'hello'
&gt;&gt;&gt; m[1]
'hello'
&gt;&gt;&gt; del m[1]
&gt;&gt;&gt; m[1] # prove that it's gone
Traceback (innermost last):
File "&lt;stdin&gt;", line 1, in ?
KeyError: 1
&gt;&gt;&gt; del m[2]
Traceback (innermost last):
File "&lt;stdin&gt;", line 1, in ?
KeyError: 2
&gt;&gt;&gt; len(m)
0
&gt;&gt;&gt; m[0] = 'zero'
&gt;&gt;&gt; m[1] = 'one'
&gt;&gt;&gt; m[2] = 'two'
&gt;&gt;&gt; m[3] = 'three'
&gt;&gt;&gt; len(m)
4
</pre>
</blockquote>
<h2><a name="getter_setter">Customized Attribute Access</a></h2>
<p>
Just like built-in Python classes, Boost.Python extension classes support <a
href="http://www.python.org/doc/current/ref/attribute-access.html">special
the usual attribute access methods</a> <code>__getattr__</code>,
<code>__setattr__</code>, and <code>__delattr__</code>.
Because writing these functions can
be tedious in the common case where the attributes being accessed are
known statically, Boost.Python checks the special names
<ul>
<li>
<code>__getattr__<em>&lt;name&gt;</em>__</code>
<li>
<code>__setattr__<em>&lt;name&gt;</em>__</code>
<li>
<code>__delattr__<em>&lt;name&gt;</em>__</code>
</ul>
to provide functional access to the attribute <em>&lt;name&gt;</em>. This
facility can be used from C++ or entirely from Python. For example, the
following shows how we can implement a ``computed attribute'' in Python:
<blockquote>
<pre>
&gt;&gt;&gt; class Range(AnyBoost.PythonExtensionClass):
... def __init__(self, start, end):
... self.start = start
... self.end = end
... def __getattr__length__(self):
... return self.end - self.start
...
&gt;&gt;&gt; x = Range(3, 9)
&gt;&gt;&gt; x.length
6
</pre>
</blockquote>
<h4>
Direct Access to Data Members
</h4>
<p>
Boost.Python uses the special <code>
__xxxattr__<em>&lt;name&gt;</em>__</code> functionality described above
to allow direct access to data members through the following special
functions on <code>class_builder&lt;&gt;</code> and <code>
extension_class&lt;&gt;</code>:
<ul>
<li>
<code>def_getter(<em>pointer-to-member</em>, <em>name</em>)</code> //
read access to the member via attribute <em>name</em>
<li>
<code>def_setter(<em>pointer-to-member</em>, <em>name</em>)</code> //
write access to the member via attribute <em>name</em>
<li>
<code>def_readonly(<em>pointer-to-member</em>, <em>name</em>)</code>
// read-only access to the member via attribute <em>name</em>
<li>
<code>def_read_write(<em>pointer-to-member</em>, <em>
name</em>)</code> // read/write access to the member via attribute
<em>name</em>
</ul>
<p>
Note that the first two functions, used alone, may produce surprising
behavior. For example, when <code>def_getter()</code> is used, the
default functionality for <code>setattr()</code> and <code>
delattr()</code> remains in effect, operating on items in the extension
instance's name-space (i.e., its <code>__dict__</code>). For that
reason, you'll usually want to stick with <code>def_readonly</code> and
<code>def_read_write</code>.
<p>
For example, to expose a <code>std::pair&lt;int,long&gt;</code> we
might write:
<blockquote>
<pre>
typedef std::pair&lt;int,long&gt; Pil;
int first(const Pil&amp; x) { return x.first; }
long second(const Pil&amp; x) { return x.second; }
...
my_module.def(first, "first");
my_module.def(second, "second");
class_builder&lt;Pil&gt; pair_int_long(my_module, "Pair");
pair_int_long.def(boost::python::constructor&lt;&gt;());
pair_int_long.def(boost::python::constructor&lt;int,long&gt;());
pair_int_long.def_read_write(&amp;Pil::first, "first");
pair_int_long.def_read_write(&amp;Pil::second, "second");
</pre>
</blockquote>
<p>
Now your Python class has attributes <code>first</code> and <code>
second</code> which, when accessed, actually modify or reflect the
values of corresponding data members of the underlying C++ object. Now
in Python:
<blockquote>
<pre>
&gt;&gt;&gt; x = Pair(3,5)
&gt;&gt;&gt; x.first
3
&gt;&gt;&gt; x.second
5
&gt;&gt;&gt; x.second = 8
&gt;&gt;&gt; x.second
8
&gt;&gt;&gt; second(x) # Prove that we're not just changing the instance __dict__
8
</pre>
</blockquote>
<h2>
<a name="reasons">And what about <code>__complex__</code>?</a>
</h2>
<p>
That, dear reader, is one problem we don't know how to solve. The
Python source contains the following fragment, indicating the
special-case code really is hardwired:
<blockquote>
<pre>
/* XXX Hack to support classes with __complex__ method */
if (PyInstance_Check(r)) { ...
</pre>
</blockquote>
<p>
Next: <a href="under-the-hood.html">A Peek Under the Hood</a>
Previous: <a href="inheritance.html">Inheritance</a>
Up: <a href= "index.html">Top</a>
<p>
&copy; Copyright David Abrahams and Ullrich K&ouml;the 2000.
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>
Updated: Nov 26, 2000
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</td>
<td width="85%">
<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=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=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=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=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></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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</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 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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</td>
<td width="85%"> <font size="6" face="Verdana, Arial, Helvetica, sans-serif"><strong>Building
an Extension Module</strong></font> </td>
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</table>
<br>
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<h2>Building Boost.Python</h2>
<p>Every Boost.Python extension module must be linked with the boost_python shared
library. To build boost_python, use <a href="file:///C:/dev/boost/tools/build/index.html">Boost.Build</a>
in the usual way from the <tt>libs/python/build</tt> 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>
<h2>Configuration</h2>
<p>You may need to configure the following variables to point Boost.Build at your
Python installation:</p>
<table width="95%" border="0" align="center">
<tr class="table_title">
<td width="24%">Variable Name</td>
<td width="20%">Semantics</td>
<td width="21%">Default</td>
<td width="35%">Notes</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_ROOT</tt></td>
<td> The root directory of your Python installation</td>
<td>Windows: <tt><br>
c:/tools/python <br>
Unix: /usr/local</tt></td>
<td>On Unix, this is the <tt>--with-prefix=</tt> directory used to configure
Python</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_VERSION</tt></td>
<td> The The 2-part python Major.Minor version number</td>
<td>Windows: 2.1 Unix: 1.5</td>
<td>Be sure not to include a third number, e.g. not &quot;2.2.1&quot;, even
if that's the version you have.</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_INCLUDES</tt></td>
<td> path to Python <span class="preprocessor">#include</span> directories</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_LIB_PATH</tt></td>
<td>path to Python library object.</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td><tt>PYTHON_STDLIB_PATH</tt></td>
<td>path to Python standard library modules</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td>&nbsp;</td>
</tr>
<tr class="table_cells">
<td height="129"><tt>CYGWIN_ROOT</tt></td>
<td> path to the user's Cygwin installation</td>
<td>Autoconfigured from <tt><br>
PYTHON_ROOT</tt></td>
<td><a href="http://www.cygwin.com">Cygwin</a> only. This and the following
two settings are useful when building with multiple toolsets on Windows,
since Cygwin requires a different build of Python.</td>
</tr>
<tr class="table_cells">
<td height="21"><tt>GCC_PYTHON_ROOT</tt></td>
<td>path to the user's Cygwin Python installation</td>
<td><tt>$(CYGWIN_ROOT)<br>
/usr/local</tt></td>
<td> <a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
<tr class="table_cells">
<td><tt>GCC_DEBUG_PYTHON_ROOT</tt></td>
<td> path to the user's Cygwin <a href="#variants">pydebug</a>
build</td>
<td><tt>$(CYGWIN_ROOT)<br>
/usr/local/pydebug</tt></td>
<td> <a href="http://www.cygwin.com">Cygwin</a> only</td>
</tr>
</table>
<h2>Results</h2>
<p>The build process will create a <tt>libs/python/build/bin-stage</tt> subdirectory
of the boost root (or of <tt>$(ALL_LOCATE_TARGET)</tt>, if you have set that
variable), containing the built libraries. The libraries are actually built
to unique directories for each toolset and variant elsewhere in the filesystem,
and copied to the bin-stage directory as a convenience, so if you build with
multiple toolsets at once, the product of later toolsets will overwrite that
of earlier toolsets in bin-stage.</p>
<h2>Testing</h2>
<p>To build and test Boost.Python from within the <tt>libs/python/build directory</tt>,
invoke</p>
<pre> bjam -sTOOLS=<a href="../../../tools/build/index.html">toolset</a> test</pre>
<p>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 might try</p>
<pre> bjam -sTOOLS=<a href="../../../tools/build/index.html">toolset</a> -sPYTHON_TEST_ARGS=-v test</pre>
<p>which will print each test's Python code with the expected output as it passes.</p>
<h2>Building your Extension Module</h2>
<p>Though there are other approaches, the easiest way to build an extension module
using Boost.Python is with Boost.Build. Until Boost.Build v2 is released, cross-project
build dependencies are not supported, so it works most smoothly if you add a
new subproject to your boost installation. The <tt>libs/python/example</tt>
subdirectory of your boost installation contains a minimal example (along with
many extra sources). To copy the example subproject:</p>
<ol>
<li> Create a new subdirectory in,<tt> libs/python</tt>, say <tt>libs/python/my_project</tt>.</li>
<li> Copy <a href="../example/Jamfile"><tt>libs/python/example/Jamfile</tt></a>
to your new directory.</li>
<li> Edit the Jamfile as appropriate for your project. You'll want to change
the <tt>subproject</tt> rule invocation at the top, and the names of some
of the source files and/or targets.</li>
</ol>
<p>If you can't modify or copy your boost installation, the alternative is to
create your own Boost.Build project. A similar example you can use as a starting
point is available in <a href="../example/project.zip">this archive</a>. You'll
need to edit the Jamfile and Jamrules files, depending on the relative location
of your Boost installation and the new project. Note that automatic testing
of extension modules is not available in this configuration.</p>
<h2>Build Variants</h2>
<p>Three variant configurations of all python-related targets are supported, and
can be selected by setting the BUILD variable:</p>
<p> * <tt>release</tt> (optimization, <tt>-DNDEBUG</tt>)<br>
* <tt>debug</tt> (no optimization <tt>-D_DEBUG</tt>)<br>
* <tt>debug-python</tt> (no optimization, <tt>-D_DEBUG -DBOOST_DEBUG_PYTHON</tt>)</p>
<p>The first two variants of the boost_python library are built by default, and
are compatible with the default Python distribution. The debug-python variant
corresponds to a specially-built debugging version of Python. On Unix platforms,
this python is built by adding <tt>--with-pydebug</tt> when configuring the
Python build. On Windows, the debugging version of Python is generated by the
&quot;Win32 Debug&quot; target of the PCBuild.dsw Visual C++ 6.0 project in
the PCBuild subdirectory of your Python distribution. Extension modules built
with Python debugging enabled are not link-compatible with a non-debug build
of Python. Since few people actually have a debug build of Python (it doesn't
come with the standard distribution), the normal debug variant builds modules
which are compatible with ordinary Python.</p>
<p>On many windows compilers, when extension modules are built with <tt>-D_DEBUG</tt>,
Python defaults to force linking with a special debugging version of the Python
DLL. Since this debug DLL isn't supplied with the default Python installation
for Windows, Boost.Python uses <a href="../../../boost/python/detail/wrap_python.hpp"><tt>boost/python/detail/wrap_python.hpp</tt></a>
to temporarily undefine <tt>_DEBUG</tt> when <tt>Python.h</tt> is <span class="preprocessor">#included</span>
- unless <tt>BOOST_DEBUG_PYTHON</tt> is defined.</p>
<p>If you want the extra runtime checks available with the debugging version of
the library, <span class="preprocessor">#define</span> <tt>BOOST_DEBUG_PYTHON</tt>
to re-enable python debuggin, and link with the debug-python variant of boost_python.</p>
<p>If you do not <span class="preprocessor">#define</span> <tt>BOOST_DEBUG_PYTHON</tt>,
be sure that any source files in your extension module <span class="preprocessor">#include</span>
<tt>&lt;boost/python/detail/wrap_python.hpp&gt;</tt> instead of the usual <tt>Python.h</tt>,
or you will have link incompatibilities.</p>
<code></code>
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<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 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
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Building Hello World</b></font>
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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>.
</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">
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 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
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Call Policies</b></font>
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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=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></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=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></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=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></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; </span><span class=special>&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; </span><span class=special>&gt; </span><span class=special>&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>
</tr>
</table>
<table border="0">
<tr>
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</table>
<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 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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<!-- Generated by the Spirit (http://spirit.sf.net) QuickDoc -->
<title>Class Data Members</title>
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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=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></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=special>.</span><span class=identifier>def_readonly</span><span class=special>(</span><span class=string>&quot;name&quot;</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>&quot;value&quot;</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></pre></code>
<p>
Then, in Python:</p>
<code><pre>
<span class=special>&gt;&gt;&gt; </span><span class=identifier>x </span><span class=special>= </span><span class=identifier>Var</span><span class=special>(</span><span class=literal>'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=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
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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=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></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=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>// __rsub__
</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></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=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=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></pre></code>
<p>
Need we say more?</p>
<table width="80%" border="0" align="center">
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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><span class=special>...
</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=special>.</span><span class=identifier>add_property</span><span class=special>(</span><span class=string>&quot;rovalue&quot;</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</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>&quot;value&quot;</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</span><span class=special>::</span><span class=identifier>get</span><span class=special>, </span><span class=special>&amp;</span><span class=identifier>Var</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>()
</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=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>, </span><span class=special>&amp;</span><span class=identifier>Var</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=special>= </span><span class=number>0</span><span class=special>;
</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=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><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=special>: </span><span class=identifier>self</span><span class=special>(</span><span class=identifier>self_</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=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=special>}
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
</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=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>AttributeError</span><span class=special>: </span><span class=special>...
</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>
<a name="deriving_a_python_class"></a><h2>Deriving a Python class</h2><p>
Now, at last, we can even derive from our base class <tt>Base</tt> in Python:</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=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=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><p>
Rewind back to our <tt>Base</tt> class, if 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=special>{ </span><span class=keyword>return </span><span class=number>0</span><span class=special>; </span><span class=special>}
</span><span class=special>};
</span></pre></code>
<p>
And instead is implemented to return <tt>0</tt>, as shown above.</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=special>: </span><span class=identifier>self</span><span class=special>(</span><span class=identifier>self_</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=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=special>}
</span><span class=keyword>static </span><span class=keyword>int </span><span class=identifier>default_f</span><span class=special>(</span><span class=identifier>Base</span><span class=special>* </span><span class=identifier>b</span><span class=special>) </span><span class=special>{ </span><span class=keyword>return </span><span class=identifier>b</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=comment>// &lt;&lt;=== added
</span><span class=identifier>PyObject</span><span class=special>* </span><span class=identifier>self</span><span class=special>;
</span><span class=special>};
</span></pre></code>
<p>
then, our Boost.Python wrapper:</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=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;f&quot;</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></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>()
</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=identifier>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></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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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Constructors</b></font>
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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=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></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=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=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</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>&quot;set&quot;</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></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=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>&quot;greet&quot;</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>&quot;set&quot;</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></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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<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=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=special>= </span><span class=identifier>f</span><span class=special>; </span><span class=comment>// defaults lost!
</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=comment>// defaults lost!
</span></pre></code>
<p>
Because of this, when wrapping C++ code in earlier versions of
Boost.Python, we had to resort to 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=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>&quot;f&quot;</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>&quot;f&quot;</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>&quot;f&quot;</span><span class=special>, </span><span class=identifier>f1</span><span class=special>); </span><span class=comment>// one 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><p>
Boost.Python now has a way to make it easier.</p>
<p>
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=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>
A similar facility is provided for class constructors, again, with
default arguments or a sequence of overloads. Remember init&lt;...&gt;? 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><span class=comment>/*...*/
</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; </span><span class=special>&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="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Derived Object types</b></font>
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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>) </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=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=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>&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><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=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=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=special>.</span><span class=identifier>def_readonly</span><span class=special>(</span><span class=string>&quot;length&quot;</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>&quot;angle&quot;</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>&quot;length&quot;</span><span class=special>) </span><span class=special>== </span><span class=number>5.0</span><span class=special>);
</span></pre></code>
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<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
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<title>Enums</title>
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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Enums</b></font>
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<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=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=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><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=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>&quot;nested&quot;</span><span class=special>)
</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=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><span class=special>;
</span></pre></code>
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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=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>&quot;I'm sorry Dave...&quot;</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></pre></code>
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<title>Exposing Classes</title>
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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=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></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=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=special>.</span><span class=identifier>def</span><span class=special>(</span><span class=string>&quot;greet&quot;</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>&quot;set&quot;</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></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>()
</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>)
</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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<font size="6" face="Verdana, Arial, Helvetica, sans-serif"><b>Extracting C++ objects</b></font>
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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=comment>// compile 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=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></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=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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<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!
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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=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=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></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><span class=comment>/*...*/
</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; </span><span class=special>&gt;(</span><span class=string>&quot;Derived&quot;</span><span class=special>)
</span><span class=comment>/*...*/
</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; </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></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; </span><span class=special>&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=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>, </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>&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>, </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>
<img src="theme/python.png"></img></p>
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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=special>{
</span><span class=keyword>return </span><span class=string>&quot;hello, world&quot;</span><span class=special>;
</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=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><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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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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<br>
<hr size="1"><p class="copyright">Copyright &copy; 2002 David Abrahams<br>Copyright &copy; 2002 Joel de Guzman<br><br>
<font size="2">Permission to copy, use, modify, sell and distribute this document
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A Peek Under the Hood
</title>
<h1>
<img src="../../../c++boost.gif" alt="c++boost.gif (8819 bytes)" align="center"
width="277" height="86">
</h1>
<h1>
A Peek Under the Hood
</h1>
<p>
Declaring a <code>class_builder&lt;T&gt;</code> causes the instantiation
of an <code>extension_class&lt;T&gt;</code> to which it forwards all
member function calls and which is doing most of the real work.
<code>extension_class&lt;T&gt;</code> is a subclass of <code>
PyTypeObject</code>, the <code> struct</code> which Python's 'C' API uses
to describe a type. <a href="example1.html#world_class">An instance of the
<code>extension_class&lt;&gt;</code></a> becomes the Python type object
corresponding to <code>hello::world</code>. When we <a href=
"example1.html#add_world_class">add it to the module</a> it goes into the
module's dictionary to be looked up under the name "world".
<p>
Boost.Python uses C++'s template argument deduction mechanism to determine the
types of arguments to functions (except constructors, for which we must
<a href="example1.html#Constructor_example">provide an argument list</a>
because they can't be named in C++). Then, it calls the appropriate
overloaded functions <code>PyObject*
to_python(</code><em>S</em><code>)</code> and <em>
S'</em><code>from_python(PyObject*,
type&lt;</code><em>S</em><code>&gt;)</code> which convert between any C++
type <em>S</em> and a <code>PyObject*</code>, the type which represents a
reference to any Python object in its 'C' API. The <a href=
"example1.html#world_class"><code>extension_class&lt;T&gt;</code></a>
template defines a whole raft of these conversions (for <code>T, T*,
T&amp;, std::auto_ptr&lt;T&gt;</code>, etc.), using the same inline
friend function technique employed by <a href="../../utility/operators.htm">the boost operators
library</a>.
<p>
Because the <code>to_python</code> and <code>from_python</code> functions
for a user-defined class are defined by <code>
extension_class&lt;T&gt;</code>, it is important that an instantiation of
<code> extension_class&lt;T&gt;</code> is visible to any code which wraps
a C++ function with a <code>T, T*, const T&amp;</code>, etc. parameter or
return value. In particular, you may want to create all of the classes at
the top of your module's init function, then <code>def</code> the member
functions later to avoid problems with inter-class dependencies.
<p>
Next: <a href="building.html">Building a Module with Boost.Python</a>
Previous: <a href="special.html">Special Method and Operator Support</a>
Up: <a href="index.html">Top</a>
<p>
&copy; Copyright David Abrahams 2000. 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>
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<h1 align="center">Boost.Python</h1>
<h2 align="center">CallPolicies Concept</h2>
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<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#composition">CallPolicies Composition</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dl class="page-index">
<dt><a href="#CallPolicies-concept">CallPolicies Concept</a></dt>
</dl>
</dl>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2><a name="introduction"></a>Introduction</h2>
<h2 align="center">CallPolicies Concept</h2>
</td>
</tr>
</table>
<hr>
<p>Models of the CallPolicies concept are used to specialize the
behavior of Python callable objects generated by Boost.Python to
wrapped C++ objects like function and member function
pointers, providing three behaviors:
<ol>
<li> <code>precall</code> - Python argument tuple management before
the wrapped object is invoked
<li> <code>result_converter</code> - C++ return value handling
<li> <code>postcall</code> - Python argument tuple and result
management after the wrapped object is invoked
</ol>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<h2><a name="composition"></a>CallPolicies Composition</h2>
<dt><a href="#composition">CallPolicies Composition</a></dt>
In order to allow the use of multiple models of CallPolicies in the
same callable object, Boost.Python's CallPolicies class templates
provide a chaining interface which allows them to be recursively
composed. This interface takes the form of an optional template
parameter, <code>Base</code> which defaults to <a
href="default_call_policies.html#default_call_policies-spec">
<code>default_call_policies</code></a>. By convention, the
<code>precall</code> function of the
<code>Base</code> is invoked <i>after</i> the <code>precall</code>
function supplied by the outer template, and the <code>postcall</code>
function of the <code>Base</code> is invoked <i>before</i> the
<code>postcall</code> function of the outer template. If a
<code>result_converter</code> is supplied by the outer template, it
<i>replaces</i> any <code>result_converter</code> supplied by the
<code>Base</code>. For an example, see <a
href="return_internal_reference.html#return_internal_reference-spec">
<code>return_internal_reference</code></a>.
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="CallPolicies-concept"></a>CallPolicies Concept</h3>
<dd>
<dl class="page-index">
<dt><a href="#CallPolicies-concept">CallPolicies Concept</a></dt>
</dl>
</dd>
</dl>
<p>In the table below, <code><b>x</b></code> denotes an object whose
type <code><b>P</b></code> is a model of CallPolicies,
<code><b>a</b></code> denotes a <code>PyObject*</code> pointing to
a Python argument tuple object, and <code><b>r</b></code> denotes a
<code>PyObject*</code> referring to a &quot;preliminary&quot; result
object.
<h2><a name="introduction"></a>Introduction</h2>
<table summary="CallPolicies expressions" border="1" cellpadding="5">
<p>Models of the CallPolicies concept are used to specialize the behavior
of Python callable objects generated by Boost.Python to wrapped C++
objects like function and member function pointers, providing three
behaviors:</p>
<tr>
<td><b>Expression</b></td>
<td><b>Type</b></td>
<td><b>Result/Semantics</b></td>
</tr>
<ol>
<li><code>precall</code> - Python argument tuple management before the
wrapped object is invoked</li>
<tr>
<td valign="top"><code>x.precall(a)</code></td>
<td>convertible to <code>bool</code>
<td>returns <code>false</code> and <code><a
href="http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure, <code>true</code> otherwise.
<li><code>result_converter</code> - C++ return value handling</li>
<tr>
<td valign="top"><code>P::result_converter</code></td>
<td>A model of <a href="ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>.
<td>An MPL unarymetafunction object used produce the
&quot;preliminary&quot result object.
<li><code>postcall</code> - Python argument tuple and result management
after the wrapped object is invoked</li>
</ol>
<tr>
<td valign="top"><code>x.postcall(a, r)</code></td>
<td>convertible to <code>PyObject*</code>
<td>0 <code>0</code> and <code><a
href="http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure. Must &quot;conserve references&quot; even in the
event of an exception. In other words, if <code>r</code> is not
returned, its reference count must be decremented; if another
existing object is returned, its reference count must be
incremented.
</table>
<h2><a name="composition"></a>CallPolicies Composition</h2>
In order to allow the use of multiple models of CallPolicies in the same
callable object, Boost.Python's CallPolicies class templates provide a
chaining interface which allows them to be recursively composed. This
interface takes the form of an optional template parameter,
<code>Base</code> which defaults to <a href=
"default_call_policies.html#default_call_policies-spec"><code>default_call_policies</code></a>.
By convention, the <code>precall</code> function of the <code>Base</code>
is invoked <i>after</i> the <code>precall</code> function supplied by the
outer template, and the <code>postcall</code> function of the
<code>Base</code> is invoked <i>before</i> the <code>postcall</code>
function of the outer template. If a <code>result_converter</code> is
supplied by the outer template, it <i>replaces</i> any
<code>result_converter</code> supplied by the <code>Base</code>. For an
example, see <a href=
"return_internal_reference.html#return_internal_reference-spec"><code>return_internal_reference</code></a>.
Models of CallPolicies are required to be <a
href="../../../utility/CopyConstructible.html">CopyConstructible</a>.
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
19 May, 2002
<!--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>
<h3><a name="CallPolicies-concept"></a>CallPolicies Concept</h3>
<p>In the table below, <code><b>x</b></code> denotes an object whose type
<code><b>P</b></code> is a model of CallPolicies, <code><b>a</b></code>
denotes a <code>PyObject*</code> pointing to a Python argument tuple
object, and <code><b>r</b></code> denotes a <code>PyObject*</code>
referring to a "preliminary" result object.</p>
<table summary="CallPolicies expressions" border="1" cellpadding="5">
<tr>
<td><b>Expression</b></td>
<td><b>Type</b></td>
<td><b>Result/Semantics</b></td>
</tr>
<tr>
<td valign="top"><code>x.precall(a)</code></td>
<td>convertible to <code>bool</code></td>
<td>returns <code>false</code> and <code><a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure, <code>true</code> otherwise.</td>
</tr>
<tr>
<td valign="top"><code>P::result_converter</code></td>
<td>A model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>.</td>
<td>An MPL unary <a href=
"../../../mpl/doc/paper/html/usage.html#metafunctions.classes">Metafunction
Class</a> used produce the "preliminary" result object.</td>
</tr>
<tr>
<td valign="top"><code>x.postcall(a, r)</code></td>
<td>convertible to <code>PyObject*</code></td>
<td>0 <code>0</code> and <code><a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred</a>()&nbsp;!=&nbsp;0</code>
upon failure. Must "conserve references" even in the event of an
exception. In other words, if <code>r</code> is not returned, its
reference count must be decremented; if another existing object is
returned, its reference count must be incremented.</td>
</tr>
</table>
Models of CallPolicies are required to be <a href=
"../../../utility/CopyConstructible.html">CopyConstructible</a>.
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
19 May, 2002 <!--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>
<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>
</body>
<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.
</body>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - ObjectWrapper Concept</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">Boost.Python</h1>
<h2 align="center">ObjectWrapper and TypeWrapper Concepts</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#concept-requirements">Concept Requirements</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#ObjectWrapper-concept">ObjectWrapper Concept</a></dt>
<dt><a href="#TypeWrapper-concept">TypeWrapper Concept</a></dt>
</dl>
</dd>
<dt><a href="#caveat">Caveat</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>This page defines two concepts used to describe classes which manage a
Python objects, and which are intended to support usage with a
Python-like syntax.</p>
<h2><a name="concept-requirements"></a>Concept Requirements</h2>
<h3><a name="ObjectWrapper-concept"></a>ObjectWrapper Concept</h3>
Models of the ObjectWrapper concept have <a href=
"object.html#object-spec">object</a> as a publicly-accessible base class,
and are used to supply special construction behavior and/or additional
convenient functionality through (often templated) member functions.
Except when the return type <code>R</code> is itself an <a href=
"#TypeWrapper-concept">TypeWrapper</a>, a member function invocation of
the form
<pre>
x.<i>some_function</i>(<i>a<small>1</small>, a<small>2</small>,...a<small>n</small></i>)
</pre>
always has semantics equivalent to:
<pre>
<a href=
"extract.html#extract-spec">extract</a>&lt;R&gt;(x.attr("<i>some_function</i>")(<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href="object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)))()
</pre>
When the <code>R</code> is an <a href=
"#TypeWrapper-concept">TypeWrapper</a>, the result type may be
constructed by taking direct posession of:
<pre>
x.attr("<i>some_function</i>")(<a href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)).ptr()
</pre>
[see <a href="#caveat">caveat</a> below]
<h3><a name="TypeWrapper-concept"></a>TypeWrapper Concept</h3>
TypeWrapper is a refinement of ObjectWrapper which is associated with a
particular Python type <code>X</code>. For a given TypeWrapper
<code>T</code>, a valid constructor expression
<pre>
T(<i>a<small>1</small>, a<small>2</small>,...a<small>n</small></i>)
</pre>
builds a new <code>T</code> object managing the result of invoking
<code>X</code> with arguments corresponding to
<pre>
<a href=
"object.html#object-spec-ctors">object</a>(<i>a<small>1</small></i>), <a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>2</small></i>),...<a
href=
"object.html#object-spec-ctors">object</a>(<i>a<small>n</small></i>)
</pre>
When used as arguments to wrapped C++ functions, or as the template
parameter to <code><a
href="extract.html#extract-spec">extract</a>&lt;&gt;</code>, only
instances of the associated Python type will be considered a match.
<h3><a name="caveat">Caveat</a></h3>
The upshot of the special member function invocation rules when the
return type is a TypeWrapper is that it is possible for the returned
object to manage a Python object of an inappropriate type. This is not
usually a serious problem; the worst-case result is that errors will be
detected at runtime a little later than they might otherwise be. For an
example of how this can occur, note that the <code><a href=
"dict.html#dict-spec">dict</a></code> member function <code>items</code>
returns an object of type <code><a href=
"list.html#list-spec">list</a></code>. Now suppose the user defines this
<code>dict</code> subclass in Python:
<pre>
&gt;&gt;&gt; class mydict(dict):
... def items(self):
... return tuple(dict.items(self)) # return a tuple
</pre>
Since an instance of <code>mydict</code> is also an instance of
<code>dict</code>, when used as an argument to a wrapped C++ function,
<code><a href="dict.html#dict-spec">boost::python::dict</a></code> can
accept objects of Python type <code>mydict</code>. Invoking
<code>items()</code> on this object can result in an instance of <code><a
href="list.html#list-spec">boost::python::list</a></code> which actually
holds a Python tuple. Subsequent attempts to use list methods (e.g.
<code>append</code>, or any other mutating operation) on this object will
raise the same exception that would occur if you tried to do it from
Python.
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
30 Sept, 2002 <!--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>
<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>
</body>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Acknowledgments</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
<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 - Acknowledgments</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">Boost.Python</h1>
<h2 align="center">Acknowledgments</h2>
</td>
</tr>
</table>
<hr>
<p><a href="../../../../people/dave_abrahams.htm">Dave Abrahams</a> is
the architect, designer, and implementor of <b>Boost.Python</b>.</p>
<p>Joel de Guzman implemented the <a href="overloads.html">default
argument support</a> and wrote the excellent <a href=
"../tutorial/index.html">tutorial documentation</a>.</p>
<p><a href="../../../../people/ralf_w_grosse_kunstleve.htm">Ralf W.
Grosse-Kunstleve</a> implemented the <a href="pickle.html">pickle
support</a>, and has enthusiastically supported the library since its
birth, contributing to design decisions and providing invaluable
real-world insight into user requirements. Ralf has written some <a href=
"faq.html#question2">extensions</a> for converting C++ containers that I
hope will be incorporated into the library soon. He also implemented the
cross-module support in the first version of Boost.Python. More
importantly, Ralf makes sure nobody forgets the near-perfect synergy of
C++ and Python for solving the problems of large-scale software
construction.</p>
<p><a href="../../../../people/aleksey_gurtovoy.htm">Aleksey Gurtovoy</a>
wrote an incredible C++ <a href="http://www.mywikinet.com/mpl">Template
Metaprogramming Library</a> which allows Boost.Python to perform much of
its compile-time magic. In addition, Aleksey very generously contributed
his time and deep knowledge of the quirks of various buggy compilers to
help us get around problems at crucial moments.</p>
<p><a href="../../../../people/paul_mensonides.htm">Paul Mensonides</a>,
building on the work <a href="../../../../people/vesa_karvonen.htm">Vesa
Karvonen</a>, wrote a similarly amazing <a href=
"../../../preprocessor/doc/index.html">Preprocessor Metaprogramming
Library</a>, and generously contributed the time and expertise to get it
working in the Boost.Python library, rewriting much of Boost.Python to
use the new preproccessor metaprogramming constructs and helping us to
work around buggy and slow C++ preprocessors.</p>
<p><a href="mailto:achim@procoders.net">Achim Domma</a> contributed some
of the <a href="reference.html#object_wrappers">Object Wrappers</a> and
HTML templates for this documentation. Dave Hawkes contributed
inspiration for the use of the <code><a href=
"scope.html#scope-spec">scope</a></code> class to simplify module
definition syntax. Pearu Pearson wrote some of the test cases that are in
the current test suite.</p>
<p>Martin Casado solved some sticky problems which allow us to build the
Boost.Python shared library for AIX's crazy dynamic linking model.</p>
<p>The development of this version of Boost.Python was funded in part by
the <a href="http://www.llnl.gov/">Lawrence Livermore National
Laboratories</a> and by the <a href="http://cci.lbl.gov/">Computational
Crystallography Initiative</a> at Lawrence Berkeley National
Laboratories.</p>
<p><a href="http://kogs-www.informatik.uni-hamburg.de/~koethe/">Ullrich
Koethe</a> provided the implementation of inheritance and special
method/operator support in the first version of Boost.Python.</p>
<p>The first version of Boost.Python would not have been possible without
the support of Dragon Systems, which supported its development and
release as a Boost library.</p>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
08 October, 2002
<!--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>
</body>
<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">Boost.Python</h1>
<h2 align="center">Acknowledgments</h2>
</td>
</tr>
</table>
<hr>
{{text}}
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--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>
</body>
</html>

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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/args.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/args.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#keyword-expression"><i>keyword-expressions</i></a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><code><a href=
"#args-spec">args</a>(</code>...<code>)</code></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Supplies a family of overloaded functions for specifying argument
keywords for wrapped C++ functions.</p>
<h2><a name="keyword-expression"></a><i>keyword-expressions</i></h2>
<p>A <b>keyword-expression</b> results in an object which holds a
sequence of <a href="definitions.html#ntbs">ntbs</a>es, and whose type
encodes the number of keywords specified.</p>
<h2><a name="functions"></a>Functions</h2>
<h3><a name="args-spec"></a><code>args(</code>...<code>)</code></h3>
<pre>
<i>unspecified1</i> args(char const*);
<i>unspecified2</i> args(char const*, char const*);
.
.
.
<i>unspecifiedN</i> args(char const*, char const*, ... char const*);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> Every argument must be a <a href=
"definitions.html#ntbs">ntbs</a>.</dt>
<dt><b>Returns:</b> an object representing a <a href=
"#keyword-expression"><i>keyword-expression</i></a> encapsulating the
arguments passed.</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/def.hpp&gt;
using namespace boost::python;
int f(int x, int y, int z);
BOOST_PYTHON_MODULE(xxx)
{
def("f", f, args("x", "y", "z"));
}
</pre>
<p>Revised 05 November, 2001</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
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<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;call_method.hpp&gt;</title>
</head>
<body link="#0000ff" vlink="#800080">
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
<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 - &lt;call_method.hpp&gt;</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>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;call_method.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dl class="page-index">
<dt><a href="#call_method-spec">call_method</a></dt>
</dl>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<dt><a href="#examples">Example(s)</a></dt>
<h2 align="center">Header &lt;call_method.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>
<code>&lt;boost/python/call_method.hpp&gt;</code> defines the <a
href="#call_method-spec"><code>call_method</code></a> family of overloaded function
templates, used to invoke callable attributes of Python objects from C++.
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#call_method-spec">call_method</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/call_method.hpp&gt;</code> defines the <a href=
"#call_method-spec"><code>call_method</code></a> family of overloaded
function templates, used to invoke callable attributes of Python objects
from C++.</p>
<h2><a name="functions"></a>Functions</h2>
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name=
"call_method-spec">template &lt;class R, class A1, class A2, ... class A<i>n</i>&gt;</a>
<a name="call_method-spec">template &lt;class R, class A1, class A2, ... class A<i>n</i>&gt;</a>
R call_method(PyObject* self, char const* method, A1 const&amp;, A2 const&amp;, ... A<i>n</i> const&amp;)
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>R</code> is a pointer type, reference
type, or a complete type with an accessible copy constructor</dt>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>R</code> is a pointer type, reference type,
or a complete type with an accessible copy constructor</dt>
<dt><b>Effects:</b> Invokes <code>self.<i>method</i>(a1,&nbsp;a2,&nbsp;...a<i>n</i>)</code> in
Python, where <code>a1</code>...<code>a<i>n</i></code> are the arguments to
<code>call_method()</code>, converted to Python objects. For a
complete semantic description, see <a href="callbacks.html">this
page</a>.
<dt><b>Effects:</b> Invokes
<code>self.<i>method</i>(a1,&nbsp;a2,&nbsp;...a<i>n</i>)</code> in
Python, where <code>a1</code>...<code>a<i>n</i></code> are the
arguments to <code>call_method()</code>, converted to Python objects.
For a complete semantic description, see <a href="callbacks.html">this
page</a>.</dt>
<dt><b>Returns:</b> The result of the Python call, converted to the
C++ type <code>R</code>.</dt>
<dt><b>Returns:</b> The result of the Python call, converted to the C++
type <code>R</code>.</dt>
</dt>
<dt><b>Rationale:</b> <code>call_method</code> is critical to
implementing C++ virtual functions which are overridable in Python,
as shown by the example below.
</dt>
</dl>
<dt><b>Rationale:</b> <code>call_method</code> is critical to
implementing C++ virtual functions which are overridable in Python, as
shown by the example below.</dt>
</dl>
<h2><a name="examples"></a>Example(s)</h2>
<h2><a name="examples"></a>Example(s)</h2>
The following C++ illustrates the use of <code>call_method</code> in
wrapping a class with a virtual function that can be overridden in
Python:
The following C++ illustrates the use of <code>call_method</code> in
wrapping a class with a virtual function that can be overridden in
Python:
<h3>C++ Module Definition</h3>
<h3>C++ Module Definition</h3>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
@@ -94,13 +79,13 @@ R call_method(PyObject* self, char const* method, A1 const&amp;, A2 const&amp;,
class Base
{
public:
virtual char const* class_name() const { return "Base"; }
virtual char const* class_name() const { return &quot;Base&quot;; }
virtual ~Base();
};
bool is_base(Base* b)
{
return !std::strcmp(b-&gt;class_name(), "Base");
return !std::strcmp(b-&gt;class_name(), &quot;Base&quot;);
}
// Wrapper code begins here
@@ -112,25 +97,26 @@ class Base_callback : public Base
public:
Base_callback(PyObject* self) : m_self(self) {}
char const* class_name() const { return <b>call_method</b>(m_self, "class_name"); }
char const* class_name() const { return <b>call_method</b>(m_self, &quot;class_name&quot;); }
char const* Base_name() const { return Base::class_name(); }
private:
PyObject* const m_self;
PyObject* m_self;
};
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
BOOST_PYTHON_MODULE_INIT(my_module)
{
def("is_base", is_base);
class_&lt;Base,Base_callback, noncopyable&gt;("Base")
.def("class_name", &amp;Base_callback::Base_name)
;
module("my_module")
.def(&quot;is_base&quot;, is_base)
.add(
class_&lt;Base,Base_callback, noncopyable&gt;(&quot;Base&quot;)
.def(&quot;class_name&quot;, &#24;Base_callback::Base_name);
)
;
}
</pre>
<h3>Python Code</h3>
<h3>Python Code</h3>
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; class Derived(Base):
@@ -144,15 +130,12 @@ BOOST_PYTHON_MODULE(my_module)
&gt;&gt;&gt; is_base(Derived())
0
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
28 Sept, 2002 <!--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>
</body>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
10 May, 2002
<!--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>
</body>
</html>

View File

@@ -1,85 +1,62 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
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"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Calling Python Functions and Methods</title>
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<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>
<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">Boost.Python</h1>
<h2 align="center">Calling Python Functions and Methods</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#argument_handling">Argument Handling</a></dt>
<dt><a href="#result_handling">Result Handling</a></dt>
<dt><a href="#result_handling">Rationale</a></dt>
</dl>
<hr>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2><a name="introduction">Introduction</a></h2>
<p>
Boost.Python provides two families of function templates,
<code><a href="call.html#call-spec">call</a></code> and <code><a
href="call_method.html#call_method-spec">call_method</a></code>, for
invoking Python functions and methods respectively. The interface for
calling a Python function object (or any Python callable object) looks
like:
<h2 align="center">Calling Python Functions and Methods</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#argument_handling">Argument Handling</a></dt>
<dt><a href="#result_handling">Result Handling</a></dt>
<dt><a href="#result_handling">Rationale</a></dt>
</dl>
<hr>
<h2><a name="introduction">Introduction</a></h2>
The simplest way to call a Python function from C++, given an <code><a
href="object.html#object-spec">object</a></code> instance <code>f</code>
holding the function, is simply to invoke its function call operator.
<pre>
f("tea", 4, 2) // In Python: f('tea', 4, 2)
</pre>
And of course, a method of an <code><a href=
"object.html#object-spec">object</a></code> instance <code>x</code> can
be invoked by using the function-call operator of the corresponding
attribute:
<pre>
x.attr("tea")(4, 2); // In Python: x.tea(4, 2)
</pre>
<p>If you don't have an <code>object</code> instance, Boost.Python
provides two families of function templates, <code><a href=
"call.html#call-spec">call</a></code> and <code><a href=
"call_method.html#call_method-spec">call_method</a></code>, for invoking
Python functions and methods respectively on <code>PyObject*</code>s. The
interface for calling a Python function object (or any Python callable
object) looks like:</p>
<pre>
call&lt;ResultType&gt;(callable_object, a1, a2... a<i>N</i>);
</pre>
Calling a method of a Python object is similarly easy:
Calling a method of a Python object is similarly easy:
<pre>
call_method&lt;ResultType&gt;(self_object, "<i>method-name</i>", a1, a2... a<i>N</i>);
call_method&lt;ResultType&gt;(self_object, &quot;<i>method-name</i>&quot;, a1, a2... a<i>N</i>);
</pre>
This comparitively low-level interface is the one you'll use when
implementing C++ virtual functions that can be overridden in Python.
<h2><a name="argument_handling">Argument Handling</a></h2>
<p>Arguments are converted to Python according to their type. By default,
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>
<h2><a name="argument_handling">Argument Handling</a></h2>
<p>
Arguments are converted to Python according to their type. By default,
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>:
<pre>
class X : boost::noncopyable
{
@@ -92,160 +69,178 @@ void apply(PyObject* callable, X&amp; x)
boost::python::call&lt;void&gt;(callable, boost::ref(x));
}
</pre>
In the table below, <code><b>x</b></code> denotes the actual argument
object and <code><b>cv</b></code> denotes an optional
<i>cv-qualification</i>: "<code>const</code>", "<code>volatile</code>",
or "<code>const volatile</code>".
In the table below, <code><b>x</b></code> denotes the actual argument
object and <code><b>cv</b></code> denotes an optional
<i>cv-qualification</i>: &quot;<code>const</code>&quot;,
&quot;<code>volatile</code>&quot;, or &quot;<code>const
volatile</code>&quot;.
<table border="1" summary="class_ template parameters">
<tr>
<th>Argument Type</th>
<th>Argument Type
<th>Behavior</th>
</tr>
<th>Behavior
<tr>
<td><code>T cv&amp;</code><br>
<code>T cv</code></td>
<code>T cv</code>
<td>The Python argument is created by the same means used for the
return value of a wrapped C++ function returning <code>T</code>. When
<code>T</code> is a class type, that normally means <code>*x</code>
is copy-constructed into the new Python object.</td>
</tr>
<td>The Python argument is created by the same means used
for the return value of a wrapped C++ function returning
<code>T</code>. When
<code>T</code> is a class type, that normally means
<code>*x</code> is copy-constructed into the new Python
object.
<tr>
<td><code>T*</code></td>
<td><code>T*</code>
<td>If <code>x&nbsp;==&nbsp;0</code>, the Python argument will be
<code><a href=
"http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>.
Otherwise, the Python argument is created by the same means used for
the return value of a wrapped C++ function returning <code>T</code>.
When <code>T</code> is a class type, that normally means
<code>*x</code> is copy-constructed into the new Python object.</td>
</tr>
<td>If <code>x&nbsp;==&nbsp;0</code>, the Python argument will
be <code><a
href="http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>. Otherwise,
the Python argument is created by the same means used for the
return value of a wrapped C++ function returning
<code>T</code>. When
<code>T</code> is a class type, that normally means
<code>*x</code> is copy-constructed into the new Python
object.
<tr>
<td><code><a href=
"../../../bind/ref.html#reference_wrapper">boost::reference_wrapper</a>&lt;T&gt;</code></td>
<td><code><a
href="../../../bind/ref.html#reference_wrapper">boost::reference_wrapper</a>&lt;T&gt; </code>
<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
holds a reference to the resulting object beyond the lifetime of
<code>*x.get()</code> <b>may result in a crash!</b></td>
</tr>
<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 holds a reference to the resulting object beyond
the lifetime of <code>*x.get()</code> <b>may result in a
crash!</b>
<tr>
<td><code><a href=
"ptr.html#pointer_wrapper-spec">pointer_wrapper</a>&lt;T&gt;</code></td>
<td><code><a
href="ptr.html#pointer_wrapper-spec">pointer_wrapper</a>&lt;T&gt;</code>
<td>If <code>x.get()&nbsp;==&nbsp;0</code>, the Python
argument will be <code><a
href="http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>.
Otherwise, the Python argument contains a pointer to, rather
than a copy of, <code>*x.get()</code>. Note: failure to ensure
that no Python code holds a reference to the resulting object
beyond the lifetime of <code>*x.get()</code> <b>may result in
a crash!</b>
<td>If <code>x.get()&nbsp;==&nbsp;0</code>, the Python argument will
be <code><a href=
"http://www.python.org/doc/current/lib/bltin-null-object.html">None</a></code>.
Otherwise, the Python argument contains a pointer to, rather than a
copy of, <code>*x.get()</code>. Note: failure to ensure that no
Python code holds a reference to the resulting object beyond the
lifetime of <code>*x.get()</code> <b>may result in a crash!</b></td>
</tr>
</table>
<h2><a name="result_handling">Result Handling</a></h2>
In general, <code>call&lt;ResultType&gt;()</code> and
<code>call_method&lt;ResultType&gt;()</code> return
<code>ResultType</code> by exploiting all lvalue and rvalue
<code>from_python</code> converters registered for ResultType and
returning a copy of the result. However, when <code>ResultType</code> is
a pointer or reference type, Boost.Python searches only for lvalue
converters. To prevent dangling pointers and references, an exception
will be thrown if the Python result object has only a single reference
count.
<h2><a name="result_handling">Result Handling</a></h2>
<h2><a name="rationale">Rationale</a></h2>
In general, to get Python arguments corresponding to
<code>a1</code>...<code>a<i>N</i></code>, a new Python object must be
created for each one; should the C++ object be copied into that Python
object, or should the Python object simply hold a reference/pointer to
the C++ object? In general, the latter approach is unsafe, since the
called function may store a reference to the Python object somewhere. If
the Python object is used after the C++ object is destroyed, we'll crash
Python.
In general, <code>call&lt;ResultType&gt;()</code> and
<code>call_method&lt;ResultType&gt;()</code> return
<code>ResultType</code> by exploiting all lvalue and rvalue
<code>from_python</code> converters registered for ResultType and
returning a copy of the result. However, when
<code>ResultType</code> is a pointer or reference type, Boost.Python
searches only for lvalue converters. To prevent dangling pointers and
references, an exception will be thrown if the Python result object
has only a single reference count.
<p>In keeping with the philosophy that users on the Python side shouldn't
have to worry about crashing the interpreter, the default behavior is to
copy the C++ object, and to allow a non-copying behavior only if the user
writes <code><a href="../../../bind/ref.html">boost::ref</a>(a1)</code>
instead of a1 directly. At least this way, the user doesn't get dangerous
behavior "by accident". It's also worth noting that the non-copying
("by-reference") behavior is in general only available for class types,
and will fail at runtime with a Python exception if used otherwise[<a
href="#1">1</a>].</p>
<h2><a name="rationale">Rationale</a></h2>
<p>However, pointer types present a problem: one approach is to refuse to
compile if any aN has pointer type: after all, a user can always pass
<code>*aN</code> to pass "by-value" or <code>ref(*aN)</code> to indicate
a pass-by-reference behavior. However, this creates a problem for the
expected null pointer to <code>None</code> conversion: it's illegal to
dereference a null pointer value.</p>
In general, to get Python arguments corresponding to
<code>a1</code>...<code>a<i>N</i></code>, a new Python object must be
created for each one; should the C++ object be copied into that Python
object, or should the Python object simply hold a reference/pointer to
the C++ object? In general, the latter approach is unsafe, since the
called function may store a reference to the Python object
somewhere. If the Python object is used after the C++ object is
destroyed, we'll crash Python.
<p>The compromise I've settled on is this:</p>
<p>In keeping with the philosophy that users on the Python side
shouldn't have to worry about crashing the interpreter, the default
behavior is to copy the C++ object, and to allow a non-copying
behavior only if the user writes <code><a
href="../../../bind/ref.html">boost::ref</a>(a1)</code> instead of a1
directly. At least this way, the user doesn't get dangerous behavior
&quot;by accident&quot;. It's also worth noting that the non-copying
(&quot;by-reference&quot;) behavior is in general only available for
class types, and will fail at runtime with a Python exception if used
otherwise[<a href="#1">1</a>].
<ol>
<li>The default behavior is pass-by-value. If you pass a non-null
pointer, the pointee is copied into a new Python object; otherwise the
corresponding Python argument will be None.</li>
<p>
However, pointer types present a problem: one approach is to refuse
to compile if any aN has pointer type: after all, a user can always pass
<code>*aN</code> to pass &quot;by-value&quot; or <code>ref(*aN)</code>
to indicate a pass-by-reference behavior. However, this creates a
problem for the expected null pointer to
<code>None</code> conversion: it's illegal to dereference a null
pointer value.
<li>if you want by-reference behavior, use <code>ptr(aN)</code> if
<code>aN</code> is a pointer and <code>ref(aN)</code> otherwise. If a
null pointer is passed to <code>ptr(aN)</code>, the corresponding
Python argument will be <code>None</code>.</li>
</ol>
<p>
<p>As for results, we have a similar problem: if <code>ResultType</code>
is allowed to be a pointer or reference type, the lifetime of the object
it refers to is probably being managed by a Python object. When that
Python object is destroyed, our pointer dangles. The problem is
particularly bad when the <code>ResultType</code> is char const* - the
corresponding Python String object is typically uniquely-referenced,
meaning that the pointer dangles as soon as <code>call&lt;char
const*&gt;(...)</code> returns.</p>
The compromise I've settled on is this:
<p>The old Boost.Python v1 deals with this issue by refusing to compile
any uses of <code>call&lt;char const*&gt;()</code>, but this goes both
too far and not far enough. It goes too far because there are cases where
the owning Python string object survives beyond the call (just for
instance, when it's the name of a Python class), and it goes not far
enough because we might just as well have the same problem with a
returned pointer or reference of any other type.</p>
<ol>
<li>The default behavior is pass-by-value. If you pass a non-null
pointer, the pointee is copied into a new Python object; otherwise
the corresponding Python argument will be None.
<p>In Boost.Python v2 this is dealt with by:</p>
<li>if you want by-reference behavior, use <code>ptr(aN)</code> if
<code>aN</code> is a pointer and <code>ref(aN)</code> otherwise. If
a null pointer is passed to <code>ptr(aN)</code>, the corresponding
Python argument will be <code>None</code>.
</ol>
<ol>
<li>lifting the compile-time restriction on const char* callback
returns</li>
<p>
As for results, we have a similar problem: if <code>ResultType</code>
is allowed to be a pointer or reference type, the lifetime of the
object it refers to is probably being managed by a Python object. When
that Python object is destroyed, our pointer dangles. The problem is
particularly bad when the <code>ResultType</code> is char const* - the
corresponding Python String object is typically uniquely-referenced,
meaning that the pointer dangles as soon as <code>call&lt;char
const*&gt;(...)</code> returns.
<li>detecting the case when the reference count on the result Python
object is 1 and throwing an exception inside of
<code>call&lt;U&gt;(...)</code> when <code>U</code> is a pointer or
reference type.</li>
</ol>
This should be acceptably safe because users have to explicitly specify a
pointer/reference for <code>U</code> in <code>call&lt;U&gt;</code>, and
they will be protected against dangles at runtime, at least long enough
to get out of the <code>call&lt;U&gt;(...)</code> invocation.
<hr>
<a name="1">[1]</a> It would be possible to make it fail at compile-time
for non-class types such as int and char, but I'm not sure it's a good
idea to impose this restriction yet.
<p>
The old Boost.Python v1 deals with this issue by refusing to compile
any uses of <code>call&lt;char const*&gt;()</code>, but this goes both
too far and not far enough. It goes too far because there are cases
where the owning Python string object survives beyond the call (just
for instance, when it's the name of a Python class), and it goes not
far enough because we might just as well have the same problem with a
returned pointer or reference of any other type.
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
17 April, 2002 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
In Boost.Python v2 this is dealt with by:
<ol>
<li> lifting the compile-time restriction on const
char* callback returns
<li> detecting the case when the reference count on the result
Python object is 1 and throwing an exception inside of
<code>call&lt;U&gt;(...)</code> when <code>U</code> is a pointer
or reference type.
</ol>
This should be acceptably safe because users have to explicitly
specify a pointer/reference for <code>U</code> in
<code>call&lt;U&gt;</code>, and they will be protected against dangles
at runtime, at least long enough to get out of the
<code>call&lt;U&gt;(...)</code> invocation.
<hr>
<a name="1">[1]</a> It would be possible to make it fail at compile-time for non-class
types such as int and char, but I'm not sure it's a good idea to impose
this restriction yet.
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
17 April, 2002
<!--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>
</body>
</html>

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@@ -1,141 +1,91 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
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"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Configuration</title>
</head>
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<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
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<title>Boost.Python - Configuration</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">Boost.Python</h1>
<h2 align="center">Configuration</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#app-defined">Application Defined Macros</a></dt>
<dt><a href="#lib-defined-impl">Library Defined Implementation
Macros</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p><b>Boost.Python</b> uses several configuration macros in <a href=
"http://www.boost.org/libs/config/config.htm">&lt;boost/config.hpp&gt;</a>,
as well as configuration macros meant to be supplied by the application.
These macros are documented here.</p>
<h2><a name="app-defined"></a>Application Defined Macros</h2>
<p>These are the macros that may be defined by an application using
<b>Boost.Python</b>. Note that if you extend a strict interpretation of the C++
standard to cover dynamic libraries, using different values of these
macros when compiling different libraries (including extension modules
and the <b>Boost.Python</b> library itself) is a violation of the <a href=
"definitions.html#ODR">ODR</a>. However, we know of no C++
implementations on which this particular violation is detectable or
causes any problems.</p>
<table summary="application defined macros" width="100%" cellpadding=
"10">
<tr>
<th align="left"><b>Macro</b></td>
<th><b>Default</b></td>
<th align="left"><b>Meaning</b></td>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_MAX_ARITY</code></td>
<td valign="top" align="center">15</td>
<td valign="top">The maximum <a href="definitions.html#arity">arity</a> of any
function, member function, or constructor to be wrapped, invocation
of a <b>Boost.Python</b> function wich is specified as taking arguments
<code>x1,&nbsp;x2,</code>...<code>X</code><i>n</i>. This includes, in
particular, callback mechanisms such as <code><a href=
"object.html#object-spec">object</a>::operator()(</code>...<code>)</code>
or <code><a href=
"call_method.html#call_method-spec">call_method</a>&lt;R&gt;(</code>...<code>
)</code>.</td>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_MAX_BASES</code></td>
<td valign="top" align="center">10</td>
<td valign="top">The maximum number of template arguments to the <code><a href=
"class.html#bases-spec">bases</a>&lt;</code>...<code>&gt;</code>
class template, which is used to specify the bases of a wrapped C++
class..</td>
</tr>
</table>
<h2><a name="lib-defined-impl"></a>Library Defined Implementation
Macros</h2>
<p>These macros are defined by <b>Boost.Python</b> and are
implementation details of interest only to implementors and those porting
to new platforms.</p>
<table summary="library defined implementation macros" width="100%"
cellpadding="10">
<tr>
<th align="left"><b>Macro</b></td>
<th><b>Default</b></td>
<th align="left"><b>Meaning</b></td>
</tr>
<tr>
<td valign="top"><code>BOOST_PYTHON_TYPE_ID_NAME</code></td>
<td valign="top" align="center"><i>not&nbsp;defined</i></td>
<td valign="top">If defined, this indicates that the type_info comparison across
shared library boundaries does not work on this platform. In other
words, if shared-lib-1 passes <code>typeid(T)</code> to a function in
shared-lib-2 which compares it to <code>typeid(T)</code>, that
comparison may return <code>false</code>. If this macro is #defined,
Boost.Python uses and compares <code>typeid(T).name()</code> instead
of using and comparing the <code>std::type_info</code> objects
directly.</td>
</tr>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
04 October, 2002
<!--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>
</body>
<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">Boost.Python</h1>
<h2 align="center">Configuration</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#app-defined">Application Defined Macros</a></dt>
<dt><a href="#lib-defined-public">Public Library Defined Macros</a></dt>
<dt><a href="#lib-defined-impl">Library Defined Implementation Macros</a></dt>
</dl>
<h2><a name="introduction"></a>Introduction</h2>
<p>Boost.Python uses several configuration macros in <a href="http://www.boost.org/libs/config/config.htm">&lt;boost/config.hpp&gt;</a>,
as well as configuration macros meant to be supplied by the application. These
macros are documented here.</p>
<h2><a name="app-defined"></a>Application Defined Macros</h2>
<p>These are the macros that may be defined by an application using Boost.Python.</p>
<table summary="application defined macros" cellspacing="10" width="100%">
<tr>
<td><b>Macro</b></td>
<td><b>Meaning</b></td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
</table>
<h2><a name="lib-defined-public"></a>Public Library Defined Macros</h2>
<p>These macros are defined by Boost.Python but are expected to be used by application
code.</p>
<table summary="public library defined macros" cellspacing="10" width="100%">
<tr>
<td><b>Macro</b></td>
<td><b>Meaning</b></td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
</table>
<h2><a name="lib-defined-impl"></a>Library Defined Implementation Macros</h2>
<p>These macros are defined by Boost.Python and are implementation details of interest
only to implementers.</p>
<table summary="library defined implementation macros" cellspacing="10" width="100%">
<tr>
<td><b>Macro</b></td>
<td><b>Meaning</b></td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
<tr>
<td>{{macro}}</td>
<td>{{meaning}}</td>
</tr>
</table>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--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>
</body>
</html>

View File

@@ -1,58 +1,46 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta name="generator" content="HTML Tidy, see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python -
&lt;boost/python/copy_const_reference.hpp&gt;</title>
</head>
<title>Boost.Python - &lt;boost/python/copy_const_reference.hpp&gt;</title>
<body>
<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>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header
&lt;boost/python/copy_const_reference.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#copy_const_reference-spec">Class
<code>copy_const_reference</code></a></dt>
<code>copy_const_reference</code></a>
<dd>
<dl class="page-index">
<dt><a href="#copy_const_reference-spec-synopsis">Class
<code>copy_const_reference</code> synopsis</a></dt>
<code>copy_const_reference</code> synopsis</a>
<dt><a href="#copy_const_reference-spec-metafunctions">Class
<code>copy_const_reference</code> metafunctions</a></dt>
<code>copy_const_reference</code> metafunctions</a>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
<dt><a href="#examples">Example</a>
</dl>
<hr>
@@ -62,10 +50,9 @@
<code>copy_const_reference</code></h3>
<p><code>copy_const_reference</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>
which can be used to wrap C++ functions returning a reference-to-const
type such that the referenced value is copied into a new Python
object.</p>
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a> which can be
used to wrap C++ functions returning a reference-to-const type such that
the referenced value is copied into a new Python object.
<h4><a name="copy_const_reference-spec-synopsis"></a>Class
<code>copy_const_reference</code> synopsis</h4>
@@ -86,17 +73,17 @@ template &lt;class T&gt; struct apply
</pre>
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is <code>U const&amp;</code> for
some <code>U</code>.</dt>
<dt><b>Requires:</b> <code>T</code> is <code>U const&amp;</code> for some
<code>U</code>.
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_value.html#to_python_value-spec">to_python_value</a>&lt;T&gt;
type;</code></dt>
type;</code>
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ Module Definition</h3>
<h3>C++ Module Definition</h3>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
@@ -115,18 +102,22 @@ struct Foo {
// Wrapper code
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
BOOST_PYTHON_MODULE_INIT(my_module)
{
class_&lt;Bar&gt;("Bar");
class_&lt;Foo&gt;("Foo", init&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_const_reference&gt;())
module m("my_module")
.add(
class_&lt;Bar&gt;()
)
.add(
class_&lt;Foo&gt;()
.def_init(args&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_const_reference&gt;())
)
;
}
</pre>
<h3>Python Code</h3>
<h3>Python Code</h3>
<pre>
&gt;&gt;&gt; from my_module import *
&gt;&gt;&gt; f = Foo(3) # create a Foo object
@@ -135,13 +126,10 @@ BOOST_PYTHON_MODULE(my_module)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2002
15 February, 2002
<!--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>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

View File

@@ -1,59 +1,47 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta name="generator" content="HTML Tidy, see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python -
&lt;boost/python/copy_non_const_reference.hpp&gt;</title>
</head>
<body>
<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>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header
&lt;boost/python/copy_non_const_reference.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#copy_non_const_reference-spec">Class
<code>copy_non_const_reference</code></a></dt>
<code>copy_non_const_reference</code></a>
<dd>
<dl class="page-index">
<dt><a href="#copy_non_const_reference-spec-synopsis">Class
<code>copy_non_const_reference</code> synopsis</a></dt>
<code>copy_non_const_reference</code> synopsis</a>
<dt><a href=
"#copy_non_const_reference-spec-metafunctions">Class
<code>copy_non_const_reference</code> metafunctions</a></dt>
<dt><a href="#copy_non_const_reference-spec-metafunctions">Class
<code>copy_non_const_reference</code> metafunctions</a>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
<dt><a href="#examples">Example</a>
</dl>
<hr>
@@ -63,10 +51,9 @@
<code>copy_non_const_reference</code></h3>
<p><code>copy_non_const_reference</code> is a model of <a href=
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a>
which can be used to wrap C++ functions returning a
reference-to-non-const type such that the referenced value is copied into
a new Python object.</p>
"ResultConverter.html#ResultConverterGenerator-concept">ResultConverterGenerator</a> which can be
used to wrap C++ functions returning a reference-to-non-const type such
that the referenced value is copied into a new Python object.
<h4><a name="copy_non_const_reference-spec-synopsis"></a>Class
<code>copy_non_const_reference</code> synopsis</h4>
@@ -88,16 +75,16 @@ template &lt;class T&gt; struct apply
<dl class="metafunction-semantics">
<dt><b>Requires:</b> <code>T</code> is <code>U&amp;</code> for some
non-const <code>U</code>.</dt>
non-const <code>U</code>.
<dt><b>Returns:</b> <code>typedef <a href=
"to_python_value.html#to_python_value-spec">to_python_value</a>&lt;T&gt;
type;</code></dt>
type;</code>
</dl>
<h2><a name="examples"></a>Example</h2>
<p>C++ code:</p>
<p>C++ code:
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
@@ -116,14 +103,18 @@ struct Foo {
// Wrapper code
using namespace boost::python;
BOOST_PYTHON_MODULE(my_module)
BOOST_PYTHON_MODULE_INIT(my_module)
{
class_&lt;Bar&gt;("Bar");
class_&lt;Foo&gt;("Foo", init&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_non_const_reference&gt;())
;
module("my_module")
.add(
class_&lt;Bar&gt;()
)
.add(
class_&lt;Foo&gt;()
.def_init(args&lt;int&gt;())
.def("get_bar", &amp;Foo::get_bar
, return_value_policy&lt;copy_non_const_reference&gt;())
);
}
</pre>
Python Code:
@@ -135,13 +126,10 @@ BOOST_PYTHON_MODULE(my_module)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2001
05 November, 2001
<!--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>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

View File

@@ -1,118 +1,109 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta name="generator" content="HTML Tidy, see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/data_members.hpp&gt;</title>
</head>
<body>
<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>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header
&lt;boost/python/data_members.hpp&gt;</h2>
</td>
</tr>
<h2 align="center">Header &lt;boost/python/data_members.hpp&gt;</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#introduction">Introduction</a>
<dt><a href="#functions">Functions</a></dt>
<dt><a href="#functions">Functions</a>
<dd>
<dl class="page-index">
<dt><a href="#make_getter-spec">make_getter</a></dt>
<dt><a href="#make_getter-spec">make_getter</a>
<dt><a href="#make_setter-spec">make_setter</a></dt>
<dt><a href="#make_setter-spec">make_setter</a>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code><a href="#make_getter-spec">make_getter</a>()</code> and
<code><a href="#make_setter-spec">make_setter</a>()</code> are the
functions used internally by <code>class_&lt;&gt;::<a href=
<code><a href="#make_setter-spec">make_setter</a>()</code> are
the functions used internally by <code>class_&lt;&gt;::<a href=
"class.html#class_-spec-modifiers">def_readonly</a></code> and
<code>class_&lt;&gt;::<a href=
"class.html#class_-spec-modifiers">def_readwrite</a></code> to produce
Python callable objects which wrap C++ data members.</p>
"class.html#class_-spec-modifiers">def_readwrite</a></code> to
produce Python callable objects which wrap C++ data members.
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name="make_getter-spec">template &lt;class C, class D&gt;</a>
<a href="object.html#object-spec">object</a> make_getter(D C::*pm);
objects::function* make_getter(D C::*pm);
template &lt;class C, class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_getter(D C::*pm, Policies const&amp; policies);
objects::function* make_getter(D C::*pm, Policies const&amp; policies);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Requires:</b> <code>Policies</code> is a model of <a
href="CallPolicies.html">CallPolicies</a>.
<dt><b>Effects:</b> Creates a Python callable object which accepts a
single argument that can be converted <code>from_python</code> to
<code>C*</code>, and returns the corresponding member <code>D</code>
member of the <code>C</code> object, converted <code>to_python</code>.
If <code>policies</code> is supplied, it will be applied to the
function as described <a href="CallPolicies.html">here</a>.</dt>
<dt><b>Effects:</b> Creates a Python callable object which
accepts a single argument that can be converted
<code>from_python</code> to <code>C*</code>, and returns the
corresponding member <code>D</code> member of the <code>C</code>
object, converted <code>to_python</code>. If
<code>policies</code> is supplied, it will be applied to the
function as described <a href=
"CallPolicies.html">here</a>.
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
<dt><b>Returns:</b> A pointer convertible to <code>PyObject*</code> which
refers to the new Python callable object.
</dl>
<pre>
<a name="make_setter-spec">template &lt;class C, class D&gt;</a>
<a href="object.html#object-spec">object</a> make_setter(D C::*pm);
objects::function* make_setter(D C::*pm);
template &lt;class C, class D, class Policies&gt;
<a href=
"object.html#object-spec">object</a> make_setter(D C::*pm, Policies const&amp; policies);
objects::function* make_setter(D C::*pm, Policies const&amp; policies);
</pre>
<dl class="function*-semantics">
<dt><b>Requires:</b> <code>Policies</code> is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Requires:</b> <code>Policies</code> is a model of <a
href="CallPolicies.html">CallPolicies</a>.
<dt><b>Effects:</b> Creates a Python callable object which, when called
from Python, expects two arguments which can be converted
<dt><b>Effects:</b> Creates a Python callable object which, when
called from Python, expects two arguments which can be converted
<code>from_python</code> to <code>C*</code> and
<code>D&nbsp;const&amp;</code>, respectively, and sets the
corresponding <code>D</code> member of the <code>C</code> object. If
<code>policies</code> is supplied, it will be applied to the function
as described <a href="CallPolicies.html">here</a>.</dt>
corresponding <code>D</code> member of the <code>C</code>
object. If <code>policies</code> is supplied, it will be applied
to the function as described <a
href="CallPolicies.html">here</a>.
<dt><b>Returns:</b> An instance of <a href=
"object.html#object-spec">object</a> which holds the new Python
callable object.</dt>
<dt><b>Returns:</b> A pointer convertible to
<code>PyObject*</code> which refers to the new Python callable
object.
</dl>
<h2><a name="examples"></a>Example</h2>
<p>The code below uses make_getter and make_setter to expose a data
member as functions:</p>
<p>The code below uses make_getter and make_setter to expose a
data member as functions:
<pre>
#include &lt;boost/python/data_members.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
@@ -128,10 +119,14 @@ using namespace boost::python;
BOOST_PYTHON_MODULE_INIT(data_members_example)
{
class_&lt;X&gt;("X", init&lt;int&gt;())
.def("get", make_getter(&amp;X::y))
.def("set", make_setter(&amp;X::y))
;
module("data_members_example")
.add(
class_&lt;X&gt;(&quot;X&quot;)
.def_init(args&lt;int&gt;())
.def(&quot;get&quot;, make_getter(&amp;X::y))
.def(&quot;set&quot;, make_setter(&amp;X::y))
)
;
}
</pre>
It can be used this way in Python:
@@ -147,13 +142,9 @@ BOOST_PYTHON_MODULE_INIT(data_members_example)
<p>
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
8 May 2002 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

View File

@@ -1,196 +0,0 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/def.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/def.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#def-spec">def</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code><a href="#def-spec">def</a>()</code> is the function which can
be used to expose C++ functions and callable objects as Python functions
in the current <code><a href="scope.html">scope</a></code>.</p>
<h2><a name="functions"></a>Functions</h2>
<a name="def-spec"></a>def
<pre>
template &lt;class F&gt;
void def(char const* name, F f);
template &lt;class Fn, class A1&gt;
void def(char const* name, Fn fn, A1 const&amp;);
template &lt;class Fn, class A1, class A2&gt;
void def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;);
template &lt;class Fn, class A1, class A2, class A3&gt;
void def(char const* name, Fn fn, A1 const&amp;, A2 const&amp;, A3 const&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.</dt>
<dd>
<ul>
<li>
If <code>a1</code> is the result of an <a href=
"overloads.html#overload-dispatch-expression"><em>overload-dispatch-expression</em></a>,
only the second form is allowed and fn must be a pointer to
function or pointer to member function whose <a href=
"definitions.html#arity">arity</a> is the same as A1's <a href=
"overloads.html#overload-dispatch-expression"><em>maximum
arity</em></a>.
<dl>
<dt><b>Effects:</b> For each prefix <em>P</em> of
<code>Fn</code>'s sequence of argument types, beginning with
the one whose length is <code>A1</code>'s <a href=
"overloads.html#overload-dispatch-expression"><em>minimum
arity</em></a>, adds a
<code><em>name</em>(</code>...<code>)</code> function overload
to the <a href="scope.html">current scope</a>. Each overload
generated invokes <code>a1</code>'s call-expression with
<em>P</em>, using a copy of <code>a1</code>'s <a href=
"CallPolicies.html">call policies</a>. If the longest valid
prefix of <code>A1</code> contains <em>N</em> types and
<code>a1</code> holds <em>M</em> keywords, an initial sequence
of the keywords are used for all but the first
<em>N</em>&nbsp;-&nbsp;<em>M</em> arguments of each
overload.<br>
</dt>
</dl>
</li>
<li>
Otherwise, a single function overload built around fn (which must
not be null) is added to the <a href="scope.html">current
scope</a>:
<ul>
<li>If fn is a function or member function pointer,
<code>a1</code>-<code>a3</code> (if supplied) may be selected
in any order from the table below.</li>
<li>Otherwise, <code>Fn</code> must be [derived from] <code><a
href="object.html#object-spec">object</a></code>, and
<code>a1-a2</code> (if supplied) may be selcted in any order
from the first two rows of the table below. To be useful,
<code>fn</code> should be <a href=
"http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-6">
callable</a>.</li>
</ul>
<table border="1" summary="def() optional arguments">
<tr>
<th>Memnonic Name</th>
<th>Requirements/Type properties</th>
<th>Effects</th>
</tr>
<tr>
<td>docstring</td>
<td>Any <a href="definitions.html#ntbs">ntbs</a>.</td>
<td>Value will be bound to the <code>__doc__</code> attribute
of the resulting method overload.</td>
</tr>
<tr>
<td>policies</td>
<td>A model of <a href=
"CallPolicies.html">CallPolicies</a></td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
<tr>
<td>keywords</td>
<td>The result of a <a href=
"args.html#keyword-expression"><em>keyword-expression</em></a>
specifying no more arguments than the <a href=
"definitions.html#arity">arity</a> of <code>fn</code>.</td>
<td>A copy will be used as the call policies of the resulting
method overload.</td>
</tr>
</table>
</li>
</ul>
</dd>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/args.hpp&gt;
char const* foo(int x, int y) { return "foo"; }
BOOST_PYTHON_MODULE(def_test)
{
def("foo", foo, args("x", "y"), "foo's docstring");
}
</pre>
<p>
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
03 October, 2002
<!--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>
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</html>

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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - Definitions</title>
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
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<title>Boost.Python - Definitions</title>
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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>
</td>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Definitions</h2>
</td>
</tr>
</table>
<hr>
<dl class="definitions">
<dt><b><a name="arity">arity</a>:</b> The number of arguments accepted
by a function or member function. Unless otherwise specified, the
hidden "<code>this</code>" argument to member functions is not counted
when specifying arity</dt>
<dd><br>
</dd>
<dt><b><a name="ntbs">ntbs</a>:</b> Null-Terminated Byte String, or
`C'-string. C++ string literals are <strong>ntbs</strong>es. An
<strong>ntbs</strong> must never be null.</dt>
<dd><br>
</dd>
<dt><b><a name="raise">raise</a>:</b> Exceptions in Python are
"raised", not "thrown", as they are in C++. When this documentation
says that some Python exception is "raised" in the context of C++ code,
it means that the corresponding Python exception is set via the <a
href=
"http://www.python.org/doc/current/api/exceptionHandling.html">Python/'C'
API</a>, and <code><a href=
"errors.html#throw_error_already_set-spec">throw_error_already_set</a>()</code>
is called.</dt>
<dd><br>
</dd>
<dt><b><a name="POD">POD</a>:</b> A technical term from the C++
standard. Short for "Plain Ol'Data": A POD-struct is an aggregate class
that has no non-static data members of type pointer to member,
non-POD-struct, non-POD-union (or array of such types) or reference,
and has no user-defined copy assign- ment operator and no user-defined
destructor. Similarly, a POD-union is an aggregate union that has no
non-static data members of type pointer to member, non-POD-struct,
non-POD-union (or array of such types) or reference, and has no
user-defined copy assignment operator and no user-defined destructor. A
POD class is a class that is either a POD-struct or a POD-union. An
aggregate is an array or a class (clause 9) with no user-declared
constructors (12.1), no private or protected non-static data members
(clause 11), no base classes (clause 10), and no virtual functions
(10.3).</dt>
<dd><br>
</dd>
<dt><b><a name="ODR">ODR</a>:</b> The &quot;One Definition
Rule&quot;, which says that any entity in a C++ program must have the same definition in all translation units (object files) which make up a program.
</dt>
<dd><br>
</dd>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
03 October, 2002
<!--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>
</body>
<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">Boost.Python</h1>
<h2 align="center">Definitions</h2>
</td>
</tr>
</table>
<hr>
<dl class="definitions">
<dt><b>{{term}}:</b> {{definition}}</dt>
<dt><b>{{term}}:</b> {{definition}}</dt>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--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>
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<html>
<head>
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<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/dict.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/dict.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#dict-spec">Class <code>dict</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#dict-spec-synopsis">Class <code>dict</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/dev/doc/devel/lib/typesmapping.html">dict</a>
type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="dict-spec"></a>Class <code>dict</code></h3>
<p>Exposes the <a href=
"http://www.python.org/dev/doc/devel/lib/typesmapping.html">mapping
protocol</a> of Python's built-in <code>dict</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>dict</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>dict</code> instances as well.</p>
<h4><a name="dict-spec-synopsis"></a>Class <code>dict</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class dict : public object
{
dict();
template&lt; class T &gt;
dict(T const &amp; data);
// modifiers
void clear();
dict copy();
template &lt;class T1, class T2&gt;
tuple popitem();
template &lt;class T&gt;
object setdefault(T const &amp;k);
template &lt;class T1, class T2&gt;
object setdefault(T1 const &amp; k, T2 const &amp; d);
void update(object_cref E);
template&lt; class T &gt;
void update(T const &amp; E);
// observers
list values() const;
object get(object_cref k) const;
template&lt;class T&gt;
object get(T const &amp; k) const;
object get(object_cref k, object_cref d) const;
object get(T1 const &amp; k, T2 const &amp; d) const;
bool has_key(object_cref k) const;
template&lt; class T &gt;
bool has_key(T const &amp; k) const;
list items() const;
object iteritems() const;
object iterkeys() const;
object itervalues() const;
list keys() const;
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
using namespace boost::python;
dict swap_object_dict(object target, dict d)
{
dict result = extract&lt;dict&gt;(target.attr("__dict__"));
target.attr("__dict__") = d;
return result;
}
</pre>
<p>Revised 30 September, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
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</html>

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@@ -1,203 +0,0 @@
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<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/enum.hpp&gt;</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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/enum.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#enum_-spec">Class template
<code>enum_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#enum_-spec-synopsis">Class template <code>enum_</code>
synopsis</a></dt>
<dt><a href="#enum_-spec-ctors">Class template <code>enum_</code>
constructors</a></dt>
<dt><a href="#enum_-spec-modifiers">Class template <code>enum_</code>
modifier functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/enum.hpp&gt;</code> defines the
interface through which users expose their C++ enumeration types
to Python. It declares the
<code>enum_</code> class template, which is parameterized on the
enumeration type being exposed. </p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="enum_-spec"></a>Class template
<code>enum_&lt;T&gt;</code></h3>
<p>Creates a Python class derived from Python's <code>int</code>
type which is associated with the C++ type passed as its first
parameter.
<h4><a name="enum_-spec-synopsis"></a>Class template <code>enum_</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
class enum_ : public <a href="object.html#object-spec">object</a>
{
enum_(char const* name);
inline enum_&lt;T&gt;&amp; value(char const* name, T);
};
}}
</pre>
<h4><a name="enum_-spec-ctors"></a>Class template <code>enum_</code>
constructors</h4>
<pre>
enum_(char const* name);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.
<dt><b>Effects:</b> Constructs an <code>enum_</code> object
holding a Python extension type derived from <code>int</code>
which is named <code>name</code>. The
<code>name</code>d attribute of the <a href=
"scope.html#introduction">current scope</a> is bound to the new
extension type.</dt>
</dl>
<h4><a name="enum_-spec-modifiers"></a>Class template
<code>enum_</code> modifier functions</h4>
<pre>
inline enum_&lt;T&gt;&amp; value(char const* name, T x);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> <code>name</code> is an <a href=
"definitions.html#ntbs">ntbs</a> which conforms to Python's <a
href=
"http://www.python.org/doc/current/ref/identifiers.html">identifier
naming rules</a>.
<dt><b>Effects:</b> adds an instance of the wrapped enumeration
type with value <code>x</code> to the type's dictionary as the
<code>name</code>d attribute</dt>.
<dt><b>Returns:</b> <code>*this</code></dt>
</dl>
<h2><a name="examples"></a>Example(s)</h2>
<p>C++ module definition
<pre>
#include &lt;boost/python/enum.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
using namespace boost::python;
enum color { red = 1, green = 2, blue = 4 };
color identity_(color x) { return x; }
BOOST_PYTHON_MODULE(enums)
{
enum_&lt;color&gt;(&quot;color&quot;)
.value(&quot;red&quot;, red)
.value(&quot;green&quot;, green)
.value(&quot;blue&quot;, blue)
;
def(&quot;identity&quot;, identity_);
}
</pre>
<p>Interactive Python:
<pre>
&gt;&gt;&gt; from enums import *
&gt;&gt;&gt; identity(color.red)
enums.color.red
&gt;&gt;&gt; identity(color.green)
enums.color.green
&gt;&gt;&gt; identity(color.blue)
enums.color.blue
&gt;&gt;&gt; identity(color(1))
enums.color.red
&gt;&gt;&gt; identity(color(2))
enums.color.green
&gt;&gt;&gt; identity(color(3))
enums.color(3)
&gt;&gt;&gt; identity(color(4))
enums.color.blue
&gt;&gt;&gt; identity(1)
Traceback (most recent call last):
File &quot;&lt;stdin&gt;&quot;, line 1, in ?
TypeError: bad argument type for built-in operation
</pre>
<hr>
Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
03 October, 2002 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
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View File

@@ -1,68 +1,53 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta name="generator" content="HTML Tidy, see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/errors.hpp&gt;</title>
</head>
<body>
<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>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/errors.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#error_already_set-spec">Class
<code>error_already_set</code></a></dt>
<dt><a href="#error_already_set-spec">Class <code>error_already_set</code></a>
<dd>
<dl class="page-index">
<dt><a href="#error_already_set-spec-synopsis">Class
<code>error_already_set</code> synopsis</a></dt>
<code>error_already_set</code> synopsis</a>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dt><a href="#functions">Functions</a>
<dd>
<dl class="page-index">
<dt><a href="#handle_exception-spec">handle_exception</a></dt>
<dt><a href="#handle_exception-spec">handle_exception</a>
<dt><a href="#expect_non_null-spec">expect_non_null</a></dt>
<dt><a href=
"#throw_error_already_set-spec">throw_error_already_set</a></dt>
<dt><a href="#expect_non_null-spec">expect_non_null</a>
<dt><a href="#throw_error_already_set-spec">throw_error_already_set</a>
</dl>
</dd>
<dt><a href="#examples">Examples</a></dt>
<dt><a href="#examples">Examples</a>
</dl>
<hr>
@@ -71,24 +56,20 @@
<p><code>&lt;boost/python/errors.hpp&gt;</code> provides types and
functions for managing and translating between Python and C++ exceptions.
This is relatively low-level functionality that is mostly used internally
by Boost.Python. Users should seldom need it.</p>
by Boost.Python. Users should seldom need it.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="error_already_set-spec"></a>Class
<code>error_already_set</code></h3>
<p><code>error_already_set</code> is an exception type which can be
thrown to indicate that a Python error has occurred. If thrown, the
precondition is that <a href=
<p><code>error_already_set</code> is an exception type which can be thrown
to indicate that a Python error has occurred. If thrown, the precondition
is that <a href=
"http://www.python.org/doc/2.2/api/exceptionHandling.html#l2h-71">PyErr_Occurred()</a>
returns a value convertible to <code>true</code>. Portable code shouldn't
throw this exception type directly, but should instead use <code><a href=
"#throw_error_already_set-spec">throw_error_already_set</a>()</code>,
below.</p>
returns a value convertible to <code>true</code>.
<h4><a name="error_already_set-spec-synopsis"></a>Class error_already_set
synopsis</h4>
<h4><a name="error_already_set-spec-synopsis"></a>Class error_already_set synopsis</h4>
<pre>
namespace boost { namespace python
{
@@ -105,100 +86,84 @@ void handle_exception() throw();
</pre>
<dl class="handle_exception-semantics">
<dt><b>Requires:</b> The first form requires that the expression
<code><a href=
<dt><b>Requires:</b> The first form requires that the expression <code><a
href=
"../../../function/doc/reference.html#functionN">function0</a>&lt;void&gt;(f)</code>
is valid. The second form requires that a C++ exception is currently
being handled (see section 15.1 in the C++ standard).</dt>
being handled (see section 15.1 in the C++ standard).
<dt><b>Effects:</b> The first form calls <code>f()</code> inside a
<code>try</code> block which first attempts to use all registered <a
href="exception_translator.html">exception translators</a>. If none of
those translates the exception, the <code>catch</code> clauses then set
an appropriate Python exception for the C++ exception caught, returning
<code>true</code> if an exception was thrown, <code>false</code>
otherwise. The second form passes a function which rethrows the
exception currently being handled to the first form.</dt>
<code>try</code> block whose <code>catch</code> clauses set an
appropriate Python exception for the C++ exception caught, returning
<code>true</code> if an exception was caught, <code>false</code>
otherwise. The second form passes a function which rethrows the exception
currently being handled to the first form.
<dt><b>Postconditions:</b> No exception is being handled</dt>
<dt><b>Postconditions:</b> No exception is being handled
<dt><b>Throws:</b> nothing</dt>
<dt><b>Throws:</b> nothing
<dt><b>Rationale:</b> At inter-language boundaries it is important to
ensure that no C++ exceptions escape, since the calling language
usually doesn't have the equipment neccessary to properly unwind the
stack. Use <code>handle_exception</code> to manage exception
translation whenever your C++ code is called directly from the Python
API. This is done for you automatically by the usual function wrapping
facilities: <code><a href=
"make_function.html#make_function-spec">make_function</a>()</code>,
<code><a href=
"make_function.html#make_constructor-spec">make_constructor</a>()</code>,
<code><a href="def.html#def-spec">def</a>()</code> and <code><a href=
"class.html#def-spec">class_::def</a>()</code>. The second form can be
more convenient to use (see the <a href="#examples">example</a> below),
but various compilers have problems when exceptions are rethrown from
within an enclosing <code>try</code> block.</dt>
ensure that no C++ exceptions escape, since the calling language usually
doesn't have the equipment neccessary to properly unwind the stack. Use
<code>handle_exception</code> to manage exception translation whenever
your C++ code is called directly from the Python API. This is done for
you automatically by the usual function wrapping facilities: <a href=
"make_function.html#make_function-spec">make_function()</a>, <a href=
"make_function.html#make_constructor-spec">make_constructor()</a>, <a
href="module.html#def-spec">module::def</a> and <a href=
"class.html#def-spec">class_::def</a>). The second form can be more
convenient to use (see the <a href="#examples">example</a> below), but
various compilers have problems when exceptions are rethrown from within
an enclosing <code>try</code> block.
</dl>
<pre>
<a name=
"expect_non_null-spec">template &lt;class T&gt; T* expect_non_null(T* x);</a>
<a name="expect_non_null-spec">template &lt;class T&gt; T* expect_non_null(T* x);</a>
</pre>
<dl class="expect_non_null-semantics">
<dt><b>Returns:</b> <code>x</code></dt>
<dt><b>Returns:</b> <code>x</code>
<dt><b>Throws:</b> <code><a href=
"#error_already_set-spec">error_already_set</a>()</code> iff <code>x ==
0</code>.</dt>
"#error_already_set-spec">error_already_set()</a></code> iff <code>x ==
0</code>.
<dt><b>Rationale:</b> Simplifies error-handling when calling functions
in the <a href="http://www.python.org/doc/2.2/api/api.html">Python/C
API</a> which return 0 on error.</dt>
<dt><b>Rationale:</b> Simplifies error-handling when calling many
functions in the <a href=
"http://www.python.org/doc/2.2/api/api.html">Python/C API</a>, which
return 0 on error.
</dl>
<pre>
<a name="throw_error_already_set-spec">void throw_error_already_set();</a>
</pre>
<dl class="throw_error_already_set-semantics">
<dt><b>Effects:</b> <code>throw&nbsp;<a href=
"#error_already_set-spec">error_already_set</a>();</code></dt>
</dl>
<dl>
<dt><b>Rationale:</b> Many platforms and compilers are not able to
consistently catch exceptions thrown across shared library boundaries.
Using this function from the Boost.Python library ensures that the
appropriate <code>catch</code> block in <code><a href=
"#handle_exception-spec">handle_exception</a>()</code> can catch the
exception.</dt>
<dt><b>Effects:</b> <code>throw&nbsp;<a href=
"#error_already_set-spec">error_already_set</a>();</code>
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;string&gt;
#include &lt;boost/python/errors.hpp&gt;
#include &lt;boost/python/object.hpp&gt;
#include &lt;boost/python/handle.hpp&gt;
#include &lt;boost/python/reference.hpp&gt;
// Returns a std::string which has the same value as obj's "__name__"
// attribute.
std::string get_name(boost::python::object obj)
std::string get_name(boost::python::ref obj)
{
// throws if there's no __name__ attribute
PyObject* p = boost::python::expect_non_null(
PyObject_GetAttrString(obj.ptr(), "__name__"));
char const* s = PyString_AsString(p);
if (s != 0)
Py_DECREF(p);
PyObject_GetAttrString(obj.get(), "__name__"));
// throws if it's not a Python string
std::string result(
boost::python::expect_non_null(
PyString_AsString(p)));
Py_DECREF(p); // Done with p
Py_XDECREF(p); // Done with p
return result;
}
@@ -207,19 +172,12 @@ std::string get_name(boost::python::object obj)
// Demonstrate form 1 of handle_exception
//
// Place into result a Python Int object whose value is 1 if a and b have
// Place a Python Int object whose value is 1 if a and b have
// identical "__name__" attributes, 0 otherwise.
void same_name_impl(PyObject*&amp; result, boost::python::object a, boost::python::object b)
void same_name_impl(PyObject*&amp; result, PyObject* a, PyObject* b)
{
result = PyInt_FromLong(
get_name(a) == get_name(a2));
}
object borrowed_object(PyObject* p)
{
return boost::python::object(
boost::python::handle&lt;&gt;(
boost::python::borrowed(a1)));
get_name(boost::python::ref(a1)) == get_name(boost::python::ref(a2)));
}
// This is an example Python 'C' API interface function
@@ -236,7 +194,7 @@ same_name(PyObject* args, PyObject* keywords)
// Use boost::bind to make an object compatible with
// boost::Function0&lt;void&gt;
if (boost::python::handle_exception(
boost::bind&lt;void&gt;(same_name_impl, boost::ref(result), borrowed_object(a1), borrowed_object(a2))))
boost::bind&lt;void&gt;(same_name_impl, boost::ref(result), a1, a2)))
{
// an exception was thrown; the Python error was set by
// handle_exception()
@@ -259,10 +217,9 @@ same_name2(PyObject* args, PyObject* keywords)
if (!PyArg_ParseTuple(args, const_cast&lt;char*&gt;("OO"), &amp;a1, &amp;a2))
return 0;
try {
return PyInt_FromLong(
get_name(borrowed_object(a1)) == get_name(borrowed_object(a2)));
get_name(boost::python::ref(a1)) == get_name(boost::python::ref(a2)));
}
catch(...)
{
@@ -275,13 +232,10 @@ same_name2(PyObject* args, PyObject* keywords)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2002
17 November, 2002
<!--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>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

View File

@@ -1,148 +0,0 @@
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<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python -
&lt;boost/python/exception_translator.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header
&lt;boost/python/exception_translator.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href=
"#register_exception_translator-spec">register_exception_translator</a></dt>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>As described <a href="errors.html#handle_exception-spec">here</a>, it
is important to make sure that exceptions thrown by C++ code do not pass
into the Python interpreter core. By default, Boost.Python translates all
C++ exceptions thrown by wrapped functions and module init functions into
Python, but the default translators are extremely limited: most C++
exceptions will appear in Python as a <a href=
"http://www.python.org/doc/current/lib/module-exceptions.html">RuntimeError</a>
exception whose representation is
<code>'Unidentifiable&nbsp;C++&nbsp;Exception'</code>. To produce better
error messages, users can register additional exception translators as
described below.</p>
<h2><a name="functions"></a>Functions</h2>
<h3><code><a name="register_exception_translator-spec">register_exception_translator</a></code></h3>
<pre>
<a name="register_exception_translator-spec">template&lt;class ExceptionType, class Translate&gt;</a>
void register_exception_translator(Translate const&amp; translate);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b></dt>
<dd>
<code>Translate</code> is <a href=
"../../../utility/CopyConstructible.html">Copyconstructible</a>, and
the following code must be well-formed:
<pre>
void f(ExceptionType x) { translate(x); }
</pre>
The expression <code>translate(x)</code> must either throw a C++
exception, or a subsequent call to <code><a href=
"http://www.python.org/doc/current/api/exceptionHandling.html">PyErr_Occurred</a>()</code>
must return 1.
</dd>
<p>
<dt><b>Effects:</b> Adds a copy of <code>translate</code> to the sequence of
exception translators tried when Boost.Python catches an exception that
is about to pass into Python's core interpreter. The new translator
will get "first shot" at translating all exceptions matching the catch
clause shown above. Any subsequently-registered translators will be
allowed to translate the exception earlier. A translator which cannot
translate a given C++ exception can re-throw it, and it will be handled
by a translator which was registered earlier (or by the default
translator).</dt>
</dl>
<h2><a name="examples"></a>Example</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/def.hpp&gt;
#include &lt;boost/python/exception_translator.hpp&gt;
#include &lt;exception&gt;
struct my_exception : std::exception
{
char const* what() throw() { return "One of my exceptions"; }
};
void translate(my_exception const&amp; e)
{
// Use the Python 'C' API to set up an exception object
PyErr_SetString(PyExc_RuntimeError, e.what());
}
void something_which_throws()
{
...
throw my_exception();
...
}
BOOST_PYTHON_MODULE(exception_translator_ext)
{
using namespace boost::python;
register_exception_translator&lt;my_exception&gt;(&amp;translate);
def("something_which_throws", something_which_throws);
}
</pre>
<br>
<br>
<hr>
<p>Revised 03 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
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@@ -1,230 +0,0 @@
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<title>Boost.Python - &lt;boost/python/extract.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/extract.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract-spec">Class <code>extract</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#extract-spec-synopsis">Class <code>extract</code>
synopsis</a></dt>
<dt><a href="#extract-spec-ctors">Class <code>extract</code>
constructors and destructor</a></dt>
<dt><a href="#extract-spec-observers">Class
<code>extract</code> observer functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a mechanism for extracting C++ object values from
generalized Python objects. Note that
<code>extract&lt;</code>...<code>&gt;</code> can also be used to
&quot;downcast&quot; an <a
href="object.html#object-spec">object</a> to some specific <a
href="ObjectWrapper.html#ObjectWrapper-concept">ObjectWrapper</a>. Because
invoking a mutable python type with an argument of the same type
(e.g. <code>list([1,2])</code> typically makes a <em>copy</em> of
the argument object, this may be the only way to access the <a
href="ObjectWrapper.html#ObjectWrapper-concept">ObjectWrapper</a>'s
interface on the original object.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="extract-spec"></a>Class template <code>extract</code></h3>
<p><code>extract&lt;T&gt;</code> can be used to extract a value of
an arbitrary C++ type from an instance of <code><a
href="object.html#object-spec">object</a></code>. Two usages are supported:
<ol>
<li><b><code>extract&lt;T&gt;(o)</code></b> is a temporary object
which is implicitly convertible to <code>T</code> (explicit conversion
is also available through the object's function-call
operator). However, if no conversion is available which can convert
<code>o</code> to an object of type <code>T</code>, a Python
<code>TypeError</code> exception will be <a
href="definitions.html#raise">raised</a>.
<li><b><code>extract&lt;T&gt; x(o);</code></b> constructs an extractor
whose <code>check()</code> member function can be used to ask whether
a conversion is available without causing an exception to be thrown.
</ol>
<h4><a name="extract-spec-synopsis"></a>Class template <code>extract</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
struct extract
{
typedef <i>unspecified</i> result_type;
extract(PyObject*);
extract(object const&amp;);
result_type operator()() const;
operator result_type() const;
bool check() const;
};
}}
</pre>
<h4><a name="extract-spec-ctors"></a>Class <code>extract</code>
constructors and destructor</h4>
<pre>
extract(PyObject* p);
extract(object const&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> The first form requires that <code>p</code> is non-null.</dt>
<dt><b>Effects:</b>Stores a pointer to the Python object managed
by its constructor argument. In particular, the reference
count of the object is not incremented. The onus is on the user
to be sure it is not destroyed before the extractor's conversion
function is called.</dt>
</dl>
<h4><a name="extract-spec-observers"></a>Class <code>extract</code>
observer functions</h4>
<pre>
result_type operator()() const;
operator result_type() const;
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Converts the stored pointer to
<code>result_type</code>, which is either <code>T</code> or
<code>T const&amp;</code>.
</dt>
<dt><b>Returns:</b> An object of <code>result_type</code>
corresponding to the one referenced by the stored pointer.</dt>
<dt><b>Throws:</b> <code><a
href="errors.html#error_already_set-spec">error_already_set</a></code>
and sets a <code>TypeError</code> if no such conversion is
available. May also emit other unspecified exceptions thrown by
the converter which is actually used.</dt>
</dl>
<pre>
bool check() const;
</pre>
<dl class="function-semantics">
<dt><b>Postconditions:</b> None. In particular, note that a
return value of <code>true</code> does not preclude an exception
being thrown from <code>operator result_type()</code> or
<code>operator()()</code>.</dt>
<dt><b>Returns:</b> <code>false</code> <i>only</i> if no conversion from the
stored pointer to <code>T</code> is available.</dt>
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;cstdio&gt;
using namespace boost::python;
int Print(str s)
{
// extract a C string from the Python string object
char const* c_str = extract&lt;char const*&gt;(s);
// Print it using printf
std::printf(&quot;%s\n&quot;, c_str);
// Get the Python string's length and convert it to an int
return extract&lt;int&gt;(s.attr(&quot;__len__&quot;)())
}
</pre>
The following example shows how extract can be used along with
<code><a
href="class.html#class_-spec">class_</a>&lt;</code>...<code>&gt;</code>
to create and access an instance of a wrapped C++ class.
<pre>
struct X
{
X(int x) : v(x) {}
int value() { return v; }
private:
int v;
};
BOOST_PYTHON_MODULE(extract_ext)
{
object x_class(
class_&lt;X&gt;(&quot;X&quot;, init&lt;int&gt;())
.def(&quot;value&quot;, &amp;X::value))
;
// Instantiate an X object through the Python interface.
// Its lifetime is now managed by x_obj.
object x_obj = x_class(3);
// Get a reference to the C++ object out of the Python object
X const&amp; x = extract&lt;X&amp;&gt;(x_obj);
assert(x.value() == 3);
}
</pre>
<p>Revised 30 September, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
</html>

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<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - FAQ</title>
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alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
</td>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Frequently Asked Questions (FAQs)</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#question1">Is return_internal reference
efficient?</a></dt>
<dt><a href="#question2">How can I wrap containers which take C++
containers as arguments?</a></dt>
</dl>
<h2><a name="question1"></a>Is return_internal reference efficient?</h2>
<blockquote>
<b>Q:</b> <i>I have an object composed of 12 doubles. A const&amp; to
this object is returned by a member function of another class. From the
viewpoint of using the returned object in Python I do not care if I get
a copy or a reference to the returned object. In Boost.Python Version 2
I have the choice of using copy_const_reference or
return_internal_reference. Are there considerations that would lead me
to prefer one over the other, such as size of generated code or memory
overhead?</i>
<p><b>A:</b> copy_const_reference will make an instance with storage
for one of your objects, size = base_size + 12 * sizeof(double).
return_internal_reference will make an instance with storage for a
pointer to one of your objects, size = base_size + sizeof(void*).
However, it will also create a weak reference object which goes in the
source object's weakreflist and a special callback object to manage the
lifetime of the internally-referenced object. My guess?
copy_const_reference is your friend here, resulting in less overall
memory use and less fragmentation, also probably fewer total
cycles.</p>
</blockquote>
<h2><a name="question2"></a>How can I wrap functions which take C++
containers as arguments?</h2>
<p>Ralf W. Grosse-Kunstleve provides these notes:</p>
<ol>
<li>
Using the regular <code>class_&lt;&gt;</code> wrapper:
<pre>
class_&lt;std::vector&lt;double&gt; &gt;("std_vector_double")
.def(...)
...
;
</pre>
This can be moved to a template so that several types (double, int,
long, etc.) can be wrapped with the same code. This technique is used
in the file
<blockquote>
scitbx/include/scitbx/array_family/boost_python/flex_wrapper.h
</blockquote>
in the "scitbx" package. The file could easily be modified for
wrapping std::vector&lt;&gt; instantiations.
<p>This type of C++/Python binding is most suitable for containers
that may contain a large number of elements (&gt;10000).</p>
</li>
<li>
Using custom rvalue converters. Boost.Python "rvalue converters"
match function signatures such as:
<pre>
void foo(std::vector&lt;double&gt; const&amp; array); // pass by const-reference
void foo(std::vector&lt;double&gt; array); // pass by value
</pre>
Some custom rvalue converters are implemented in the file
<blockquote>
scitbx/include/scitbx/boost_python/container_conversions.h
</blockquote>
This code can be used to convert from C++ container types such as
std::vector&lt;&gt; or std::list&lt;&gt; to Python tuples and vice
versa. A few simple examples can be found in the file
<blockquote>
scitbx/array_family/boost_python/regression_test_module.cpp
</blockquote>
Automatic C++ container &lt;-&gt; Python tuple conversions are most
suitable for containers of moderate size. These converters generate
significantly less object code compared to alternative 1 above.
</li>
</ol>
A disadvantage of using alternative 2 is that operators such as
arithmetic +,-,*,/,% are not available. It would be useful to have custom
rvalue converters that convert to a "math_array" type instead of tuples.
This is currently not implemented but is possible within the framework of
Boost.Python V2 as it will be released in the next couple of weeks. [ed.:
this was posted on 2002/03/10]
<p>It would also be useful to also have "custom lvalue converters" such
as std::vector&lt;&gt; &lt;-&gt; Python list. These converters would
support the modification of the Python list from C++. For example:</p>
<p>C++:</p>
<pre>
void foo(std::vector&lt;double&gt;&amp; array)
{
for(std::size_t i=0;i&lt;array.size();i++) {
array[i] *= 2;
}
}
</pre>
Python:
<pre>
&gt;&gt;&gt; l = [1, 2, 3]
&gt;&gt;&gt; foo(l)
&gt;&gt;&gt; print l
[2, 4, 6]
</pre>
Custom lvalue converters require changes to the Boost.Python core library
and are currently not available.
<p>P.S.:</p>
<p>The "scitbx" files referenced above are available via anonymous
CVS:</p>
<pre>
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx login
cvs -d:pserver:anonymous@cvs.cctbx.sourceforge.net:/cvsroot/cctbx co scitbx
</pre>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--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>
</body>
<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">Boost.Python</h1>
<h2 align="center">Frequently Asked Questions (FAQs)</h2>
</td>
</tr>
</table>
<hr>
<dl class="page-index">
<dt><a href="#question1">{{question}}</a></dt>
<dt><a href="#question2">{{question}}</a></dt>
</dl>
<h2><a name="question1"></a>{{question}}</h2>
<p>{{answer}}</p>
<h2><a name="question2"></a>{{question}}</h2>
<p>{{answer}}</p>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--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>
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</td>
<td valign="top">
<h1 class="c1">Boost.Python</h1>
<h2 class="c2">Header &lt;boost/python/handle.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#handle-spec">Class template
<code>handle</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#handle-spec-synopsis">Class <code>handle</code>
synopsis</a></dt>
<dt><a href="#handle-spec-ctors">Class <code>handle</code>
constructors and destructor</a></dt>
<dt><a href="#handle-spec-modifiers">Class <code>handle</code>
modifier functions</a></dt>
<dt><a href="#handle-spec-observers">Class <code>handle</code>
observer functions</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#borrowed-spec"><code>borrowed</code></a></dt>
<dt><a href="#allow_null-spec"><code>allow_null</code></a></dt>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/handle.hpp&gt;</code> provides
<code>class&nbsp;template&nbsp;handle</code>, a smart pointer for
managing reference-counted Python objects.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="handle-spec"></a>Class template <code>handle</code></h3>
<p><code>handle</code> is a smart pointer to a Python object type; it
holds a pointer of type <code>T*</code>, where T is its template
parameter. <code>T</code> must be either a type derived from
<code>PyObject</code> or a <a href="definitions.html#POD">POD</a>
type whose initial <code>sizeof(PyObject)</code> bytes are
layout-compatible with <code>PyObject</code>. Use
<code>handle&lt;&gt;</code> at the boundary between tehe
Python/'C' API and high-level code; prefer <code><a
href="object.html#object-spec">object</a></code> for a generalized
interface to Python objects.
<p><a name="upcast"></a>In this document, the term "upcast" refers to an
operation which converts a pointer <code>Y*</code> to a base class
pointer <code>T*</code> via <code>static_cast&lt;T*&gt;</code> if
<code>Y</code> is derived from <code>T</code>, or via C-style cast
<code>(T*)</code> if it is not. However, in the latter case the "upcast"
is ill-formed if the initial <code>sizeof(PyObject)</code> bytes of
<code>Y</code> are not layout-compatible with <code>PyObject</code>.</p>
<h4><a name="handle-spec-synopsis"></a>Class template handle
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class T&gt;
class handle
{
typedef <i>unspecified-member-function-pointer</i> bool_type;
public: // types
typedef T element_type;
public: // member functions
~handle();
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;null_ok&lt;Y&gt; &gt;* p);
template &lt;class Y&gt;
explicit handle(null_ok&lt;detail::borrowed&lt;Y&gt; &gt;* p);
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;Y&gt;* p);
template &lt;class Y&gt;
explicit handle(null_ok&lt;Y&gt;* p);
template &lt;class Y&gt;
explicit handle(Y* p);
handle();
handle&amp; operator=(handle const&amp; r);
template&lt;typename Y&gt;
handle&amp; operator=(handle&lt;Y&gt; const &amp; r); // never throws
template &lt;typename Y&gt;
handle(handle&lt;Y&gt; const&amp; r);
handle(handle const&amp; r);
T* operator-&gt; () const;
T&amp; operator* () const;
T* get() const;
T* release();
operator bool_type() const; // never throws
private:
T* m_p;
};
template &lt;class T&gt; struct null_ok;
namespace detail { template &lt;class T&gt; struct borrowed; }
}}
</pre>
<h4><a name="handle-spec-ctors">Class <code>handle</code> constructors
and destructor</a></h4>
<pre>
virtual ~handle();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>Py_XDECREF(m_p)</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;null_ok&lt;Y&gt; &gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>Py_XDECREF(m_p)</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(null_ok&lt;detail::borrowed&lt;Y&gt; &gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(p);</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(detail::borrowed&lt;Y&gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(<a href=
"errors.html#expect_non_null-spec">expect_non_null</a>(p));</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(null_ok&lt;Y&gt;* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(p);&nbsp;m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(p);</code></dt>
</dl>
<pre>
template &lt;class Y&gt;
explicit handle(Y* p);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(p);&nbsp;m_p&nbsp;=&nbsp;</code><i>upcast</i><code>&lt;T*&gt;(<a
href=
"errors.html#expect_non_null-spec">expect_non_null</a>(p));</code></dt>
</dl>
<pre>
handle();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>m_p&nbsp;=&nbsp;0;</code></dt>
</dl>
<pre>
template &lt;typename Y&gt;
handle(handle&lt;Y&gt; const&amp; r);
handle(handle const&amp; r);
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>m_p&nbsp;=&nbsp;r.m_p;&nbsp;Py_XINCREF(m_p);</code></dt>
</dl>
<h4><a name="handle-spec-modifiers">Class <code>handle</code>
modifiers</a></h4>
<pre>
handle&amp; operator=(handle const&amp; r);
template&lt;typename Y&gt;
handle&amp; operator=(handle&lt;Y&gt; const &amp; r); // never throws
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b>
<code>Py_XINCREF(r.m_p);&nbsp;Py_XDECREF(m_p);&nbsp;m_p&nbsp;=&nbsp;r.m_p;</code></dt>
</dl>
<pre>
T* release();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> <code>T* x = m_p;&nbsp;m_p&nbsp;=&nbsp;0;return
x;</code></dt>
</dl>
<h4><a name="handle-spec-observers">Class <code>handle</code>
observers</a></h4>
<pre>
T* operator-&gt; () const;
T* get() const;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>m_p;</code></dt>
</dl>
<pre>
T&amp; operator* () const;
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>*m_p;</code></dt>
</dl>
<pre>
operator bool_type() const; // never throws
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> 0 if <code>m_p&nbsp;==&nbsp;0</code>, a pointer
convertible to <code>true</code> otherwise.</dt>
</dl>
<h2><a name="functions"></a>Functions</h2>
<h3><a name="borrowed-spec"></a><code>borrowed</code></h3>
<pre>
template <class T>
detail::borrowed<T>* borrowed(T* p)
{
return (detail::borrowed<T>*)p;
}
</pre>
<h3><a name="allow_null-spec"></a><code>allow_null</code></h3>
<pre>
template <class T>
null_ok<T>* allow_null(T* p)
{
return (null_ok<T>*)p;
}
</pre>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
03 October, 2002 <!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p class="c4">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</p>
</body>
</html>

View File

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width="277" alt="C++ Boost" src=
"../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 class="c1">Boost.Python</h1>
<h2 class="c2">Header
&lt;boost/python/has_back_reference.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#has_back_reference-spec">Class template
<code>has_back_reference</code></a></dt>
<code>has_back_reference</code></a>
<dd>
<dl class="page-index">
<dt><a href="#has_back_reference-spec-synopsis">Class template
<code>has_back_reference</code> synopsis</a></dt>
<dt><a href=
"#has_back_reference-spec-synopsis">Class template
<code>has_back_reference</code> synopsis</a>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
<dt><a href="#examples">Example(s)</a>
</dl>
</dd>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/has_back_reference.hpp&gt;</code> defines the
traits class template <code>has_back_reference&lt;&gt;</code>, which can
be specialized by the user to indicate that a wrapped class instance
holds a <code>PyObject*</code> corresponding to a Python object.</p>
<p><code>&lt;boost/python/has_back_reference.hpp&gt;</code>
defines the traits class template
<code>has_back_reference&lt;&gt;</code>, which can be
specialized by the user to indicate that a wrapped class
instance holds a <code>PyObject*</code> corresponding to a
Python object.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="has_back_reference-spec"></a>Class template
<code>has_back_reference</code></h3>
<p>A unary metafunction whose <code>value</code> is true iff its argument
is a <code>pointer_wrapper&lt;&gt;</code>.</p>
<p>A unary metafunction whose <code>value</code> is true iff
its argument is a <code>pointer_wrapper&lt;&gt;</code>.
<h4><a name="has_back_reference-spec-synopsis"></a>Class template
<code>has_back_reference</code> synopsis</h4>
<h4><a name="has_back_reference-spec-synopsis"></a>Class
template <code>has_back_reference</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
@@ -87,33 +82,36 @@ namespace boost { namespace python
}}
</pre>
<p>A "<a href="../../../../more/generic_programming.html#traits">traits
class</a>" which is inspected by Boost.Python to determine how wrapped
classes can be constructed.</p>
<p>A &quot;<a href=
"../../../../more/generic_programming.html#traits">traits
class</a>&quot; which is inspected by Boost.Python to
determine how wrapped classes can be constructed.
<dl class="traits-semantics">
<dt><code>value</code> is an integral constant convertible to bool of
unspecified type.</dt>
<dt><code>value</code> is an integral constant convertible
to bool of unspecified type.
<dt>Specializations may substitute a value convertible to
<code>true</code> for <code>value</code> iff for each invocation of
<code>class_&lt;WrappedClass&gt;::def(init&lt;</code><i>type-sequence...</i><code>
&gt;())</code>, there exists a corresponding constructor
<code>WrappedClass::WrappedClass(PyObject*,&nbsp;</code><i>type-sequence...</i>
<code>)</code>. If such a specialization exists, the
<code>WrappedClass</code> constructors will be called with a "back
reference" pointer to the corresponding Python object whenever they are
invoked from Python.</dt>
<code>true</code> for <code>value</code> iff for each invocation of
<code>class_&lt;WrappedClass&gt;::def_init(args&lt;</code><i>type-sequence...</i><code>&gt;())</code>,
there exists a corresponding constructor
<code>WrappedClass::WrappedClass(PyObject*,&nbsp;</code><i>type-sequence...</i><code>)</code>. If
such a specialization exists, the <code>WrappedClass</code>
constructors will be called with a &quot;back reference&quot; pointer
to the corresponding Python object whenever they are invoked from
Python.
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ module definition</h3>
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/has_back_reference.hpp&gt;
#include &lt;boost/python/handle.hpp&gt;
#include &lt;boost/shared_ptr.hpp&gt;
using namespace boost::python;
@@ -123,7 +121,7 @@ struct X
X(PyObject* self) : m_self(self), m_x(0) {}
X(PyObject* self, int x) : m_self(self), m_x(x) {}
handle&lt;&gt; self() { return handle&lt;&gt;(borrowed(m_self)); }
PyObject* self() { return m_self; }
int get() { return m_x; }
void set(int x) { m_x = x; }
@@ -153,29 +151,36 @@ struct Y
boost::shared_ptr&lt;Y&gt; Y_self(boost::shared_ptr&lt;Y&gt; self) const { return self; }
BOOST_PYTHON_MODULE(back_references)
BOOST_PYTHON_MODULE_INIT(back_references)
{
class_&lt;X&gt;("X")
.def(init&lt;int&gt;())
.def("self", &amp;X::self)
.def("get", &amp;X::get)
.def("set", &amp;X::set)
;
class_&lt;Y, shared_ptr&lt;Y&gt; &gt;("Y")
.def(init&lt;int&gt;())
.def("get", &amp;Y::get)
.def("set", &amp;Y::set)
.def("self", Y_self)
;
module(&quot;back_references&quot;)
.add(
class_&lt;X&gt;(&quot;X&quot;)
.def_init()
.def_init(args&lt;int&gt;())
.def(&quot;self&quot;, &amp;X::self)
.def(&quot;get&quot;, &amp;X::get)
.def(&quot;set&quot;, &amp;X::set)
)
.add(
class_&lt;Y, shared_ptr&lt;Y&gt; &gt;(&quot;Y&quot;)
.def_init()
.def_init(args&lt;int&gt;())
.def(&quot;get&quot;, &amp;Y::get)
.def(&quot;set&quot;, &amp;Y::set)
.def(&quot;self&quot;, Y_self)
)
;
}
</pre>
The following Python session illustrates that <code>x.self()</code>
returns the same Python object on which it is invoked, while
<code>y.self()</code> must create a new Python object which refers to the
same Y instance.
<h3>Python code</h3>
The following Python session illustrates that <code>x.self()</code>
returns the same Python object on which it is invoked, while
<code>y.self()</code> must create a new Python object which refers to
the same Y instance.
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; from back_references import *
&gt;&gt;&gt; x = X(1)
@@ -202,13 +207,11 @@ BOOST_PYTHON_MODULE(back_references)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2002
07 May, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
</p>
<p class="c3">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</p>
</body>
</html>
<p class="c3">&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a>
2002. All Rights Reserved.

View File

@@ -1,60 +1,51 @@
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<title>Boost.Python - &lt;boost/python/implicit.hpp&gt;</title>
</head>
<body>
<table border="0" cellpadding="7" cellspacing="0" width="100%" summary=
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<tr>
<td valign="top" width="300">
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alt="C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
</td>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/implicit.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dl function="page-index">
<dt><a href="#introduction">Introduction</a>
<dt><a href="#functions">Functions</a></dt>
<dt><a href="#functions">Functions</a>
<dd>
<dl class="page-index">
<dt><a href="#implicitly_convertible-spec">Function Template
<code>implicitly_convertible</code></a></dt>
</dl>
</dd>
<dl function="page-index">
<dt><a href="#implicitly_convertible-spec">Function Template <code>implicitly_convertible</code></a>
<dt><a href="#examples">Example</a></dt>
</dl>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<code>implicitly_convertible</code> allows Boost.Python to implicitly
take advantage of a C++ implicit or explicit conversion when matching
Python objects to C++ argument types.
<code>implicitly_convertible</code> allows Boost.Python to
implicitly take advantage of a C++ implicit or explicit conversion
when matching Python objects to C++ argument types.
<h2><a name="functions"></a>Functions</h2>
<h3><a name="implicitly_convertible-spec"></a>Function template
<code>implicitly_convertible</code></h3>
<h3><a name="implicitly_convertible-spec"></a>Function template <code>implicitly_convertible</code></h3>
<pre>
template &lt;class Source, class Target&gt;
void implicitly_convertible();
@@ -64,42 +55,40 @@ void implicitly_convertible();
<caption>
<b><code>implicitly_convertible</code> template parameters</b><br>
</caption>
<tr>
<th>Parameter
<th>Description
<tr>
<th>Parameter</th>
<th>Description</th>
</tr>
<td><code>Source</code>
<td>The source type of the implicit conversion
<tr>
<td><code>Source</code></td>
<td>The source type of the implicit conversion</td>
</tr>
<td><code>Target</code>
<td>The target type of the implicit conversion
<tr>
<td><code>Target</code></td>
<td>The target type of the implicit conversion</td>
</tr>
</table>
<dl class="function-semantics">
<dt><b>Requires:</b> The declaration <code>Target t(s);</code>, where
<code>s</code> is of type <code>Source</code>, is valid.</dt>
<dt><b>Requires:</b> The expression <code>Target(s)</code>,
where <code>s</code> is of type <code>Source</code>, is valid.
<dt><b>Effects:</b> registers an rvalue <code>from_python</code>
converter to <code>Target</code> which can succeed for any
<code>PyObject*&nbsp;p</code> iff there exists any registered converter
which can produce <code>Source</code> rvalues</dt>
<code>PyObject*&nbsp;p</code> iff there exists any registered
converter which can produce <code>Source</code> rvalues
<dt><b>Rationale:</b> C++ users expect to be able to take advantage of
the same sort of interoperability in Python as they do in C++.</dt>
<dt><b>Rationale:</b> C++ users expect to be able to take
advantage of the same sort of interoperability in Python as they
do in C++.
</dl>
<h2><a name="examples"></a>Example</h2>
<h3>C++ module definition</h3>
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/implicit.hpp&gt;
@@ -121,21 +110,23 @@ int x_value(X const&amp; x)
X make_x(int n) { return X(n); }
BOOST_PYTHON_MODULE(implicit_ext)
BOOST_PYTHON_MODULE_INIT(implicit_ext)
{
def("x_value", x_value);
def("make_x", make_x);
class_&lt;X&gt;("X",
init&lt;int&gt;())
module(&quot;implicit_ext&quot;)
.def(&quot;x_value&quot;, x_value)
.def(&quot;make_x&quot;, make_x)
.add(
class_&lt;X&gt;(&quot;X&quot;)
.def_init(args&lt;int&gt;())
)
;
implicitly_convertible&lt;X,int&gt;();
implicitly_convertible&lt;int,X&gt;();
}
</pre>
<h3>Python code</h3>
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; from implicit_ext import *
&gt;&gt;&gt; x_value(X(42))
@@ -149,13 +140,10 @@ BOOST_PYTHON_MODULE(implicit_ext)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2002
08 May, 2002
<!--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>
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<h1 align="center">Boost.Python</h1>
<h2 align="center">Index</h2>
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<hr>
<h2>Contents</h2>
<dl class="index">
<dt><a href="overview.html">Overview</a></dt>
<dt><a href="reference.html">Reference</a></dt>
<dt><a href="configuration.html">Configuration Information</a></dt>
<dt><a href="rationale.html">Rationale</a></dt>
<dt><a href="definitions.html">Definitions</a></dt>
<dt><a href="faq.html">Frequently Asked Questions (FAQs)</a></dt>
<dt><a href="progress_reports.html">Progress Reports</a></dt>
<dt><a href="bibliography.html">Bibliography</a></dt>
<dt><a href="acknowledgments.html">Acknowledgments</a></dt>
</dl>
<hr>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
05 November, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
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<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Headers &lt;boost/python/init.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href=
"#init-expressions"><em>init-expressions</em></a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#init-spec">Class template <code>init</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#init-spec-synopsis">Class template
<code>init</code> synopsis</a></dt>
<dt><a href="#init-spec-ctors">Class <code>init</code>
constructors</a></dt>
</dl>
</dd>
<dt><a href="#optional-spec">Class template
<code>optional</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#optional-spec-synopsis">Class template
<code>optional</code> synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/init.hpp&gt;</code> defines the interface for
exposing C++ constructors to Python as extension class
<code>__init__</code> functions.</p>
<h2><a name="init-expressions"><em>init-expressions</em></a></h2>
An <em>init-expression</em> is used to describe a family of
<code>__init__</code> methods to be generated for an extension class, and
the result has the following properties:
<blockquote>
<dl class="properties">
<dt><b>docstring:</b> An <a href="definitions.html#ntbs">ntbs</a>
whose value will bound to the method's <code>__doc__</code>
attribute</dt>
<dt><b>keywords:</b> A <a href=
"args.html#keyword-expression">keyword-expression</a> which will be
used to name (a trailing subsequence of) the arguments to the
generated <code>__init__</code> function(s).</dt>
<dt><b>call policies:</b> An instance of a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>argument types:</b> An MPL sequence of C++ argument types
which will be used to construct the wrapped C++ object. An init
expression has one or more
<b>valid prefixes</b> which are given by a sequence of
prefixes of its argument types.</dt>
</dl>
</blockquote>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="init-spec"></a>Class template <code>init&lt;T1 =</code>
<i>unspecified</i><code>,&nbsp;T2 =</code>
<i>unspecified</i><code>,</code>...<code>Tn</code> =
<i>unspecified</i><code>&gt;</code></h3>
<p>A <a href="../../../mpl/doc/ref/Sequences.html">MPL sequence</a> which
can be used to specify a family of one or more <code>__init__</code>
functions. Only the last <code>T</code><i><small>i</small></i> supplied
may be an instantiation of <a href=
"#optional-spec"><code>optional</code></a><code>&lt;</code>...<code>&gt;</code>.</p>
<h4><a name="init-spec-synopsis"></a>Class template <code>init</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;T1 = <i>unspecified</i>,...T<i>n</i> = <i>unspecified</i>&gt;
struct init
{
init(char const* doc = 0);
template &lt;class Keywords&gt; init(Keywords const&amp; kw, char const* doc = 0);
template &lt;class Keywords&gt; init(char const* doc, Keywords const&amp; kw);
template &lt;class CallPolicies&gt;
<em>unspecified</em> operator[](CallPolicies const&amp; policies) const
};
}}
</pre>
<h4><a name="init-spec-ctors"></a>Class template <code>init</code>
constructors</h4>
<pre>
init(char const* doc = 0);
template &lt;class Keywords&gt; init(Keywords const&amp; kw, char const* doc = 0);
template &lt;class Keywords&gt; init(char const* doc, Keywords const&amp; kw);
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> If supplied, <code>doc</code> is an <a href=
"definitions.html#ntbs">ntbs</a>. If supplied, <code>kw</code> is the
result of a <a href="args.html#keyword-expression"></a></dt>
<dt><b>Effects:</b> The result is an <em>init-expression</em> whose
<em>docstring</em> is <code>doc</code> and whose <em>keywords</em> are
a reference to <code>kw</code>. If the first form is used, the
resulting expression's <em>keywords</em> are empty. The expression's
<em>call policies</em> are an instance of <a href=
"default_call_policies.html#default_call_policies-spec">default_call_policies</a>.
If <code>T</code><i><small>n</small></i> is <a href=
"#optional-spec"><code>optional</code></a><code>&lt;U1,&nbsp;U2,</code>...
<code>U</code><small><i>m</i></small><code>&gt;</code>, the
expression's <em>valid prefixes</em> are given by:</dt>
<dd>
<blockquote>
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>),
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1</code>),
(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1,&nbsp;U2</code>),
...(<code>T1,&nbsp;T2,</code>...<code>T</code><i><small>n-1</small></i>
<code>,&nbsp;U1,&nbsp;U2,</code>...<code>U</code><i><small>m</small></i>).
</blockquote>
Otherwise, the expression has one <em>valid prefix</em> given by the
the template arguments the user specified.
</dd>
</dl>
<h4><a name="init-spec-observers"></a>Class template <code>init</code>
observer functions</h4>
<pre>
template &lt;class Policies&gt;
<em>unspecified</em> operator[](Policies const&amp; policies) const
</pre>
<dl class="function-semantics">
<dt><b>Requires:</b> Policies is a model of <a href=
"CallPolicies.html">CallPolicies</a>.</dt>
<dt><b>Effects:</b> Returns a new <a href=
"#init-expressions"><em>init-expression</em></a> with all the same
properties as the <code>init</code> object except that its <em>call
policies</em> are replaced by a reference to
<code>policies</code>.</dt>
</dl>
<h3><a name="optional-spec"></a>Class template <code>optional&lt;T1
=</code> <i>unspecified</i><code>,&nbsp;T2 =</code>
<i>unspecified</i><code>,</code>...<code>Tn</code> =
<i>unspecified</i><code>&gt;</code></h3>
<p>A <a href="../../../mpl/doc/ref/Sequences.html">MPL sequence</a> which
can be used to specify the optional arguments to an <code>__init__</code>
function.</p>
<h4><a name="optional-spec-synopsis"></a>Class template
<code>optional</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;T1 = <i>unspecified</i>,...T<i>n</i> = <i>unspecified</i>&gt;
struct optional {};
}}
</pre>
<h2><a name="examples"></a>Example(s)</h2>
<p>Given the C++ declarations:</p>
<pre>
class Y;
class X
{
public:
X(int x, Y* y) : m_y(y) {}
X(double);
private:
Y* m_y;
};
</pre>
A corresponding Boost.Python extension class can be created with:
<pre>
using namespace boost::python;
class_&lt;X&gt;("X", "This is X's docstring.",
init&lt;int,char const*&gt;(args("x","y"), "X.__init__'s docstring")[
with_custodian_and_ward&lt;1,3&gt;()]
)
.def(init&lt;double&gt;())
;
</pre>
<hr>
Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
1 October, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
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<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
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<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/iterator.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#iterator-spec">Class template
<code>iterator</code></a></dt>
<dt><a href="#iterator-spec">Class template <code>iterator</code></a>
<dd>
<dl class="page-index">
<dt><a href="#iterator-spec-synopsis">Class
<code>iterator</code> synopsis</a></dt>
<code>iterator</code> synopsis</a>
<dt><a href="#iterator-spec-ctors">Class template
<code>iterator</code> constructor</a></dt>
<dt><a href="#iterator-spec-ctors">Class template <code>iterator</code>
constructor</a>
</dl>
</dd>
</dl>
</dl>
<dl class="page-index">
<dt><a href="#iterators-spec">Class template
<code>iterators</code></a></dt>
<dt><a href="#iterators-spec">Class template <code>iterators</code></a>
<dd>
<dl class="page-index">
<dt><a href="#iterators-spec-synopsis">Class
<code>iterators</code> synopsis</a></dt>
<code>iterators</code> synopsis</a>
<dt><a href="#iterators-spec-types">Class template
<code>iterators</code> nested types</a></dt>
<code>iterators</code> nested types</a>
<dt><a href="#iterators-spec-statics">Class template
<code>iterators</code> static functions</a></dt>
<code>iterators</code> static functions</a>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#functions">Functions</a></dt>
<dt><a href="#functions">Functions</a>
<dd>
<dl class="page-index">
<dt><a href="#range-spec">range</a></dt>
<dt><a href="#range-spec">range</a>
</dl>
</dd>
<dt><a href="#examples">Examples</a></dt>
<dt><a href="#examples">Examples</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p><code>&lt;boost/python/iterator.hpp&gt;</code> provides types and
functions for creating <a href=
"http://www.python.org/doc/current/lib/typeiter.html">Python
iterators</a> from <a href=
"http://www.sgi.com/tech/stl/Container.html">C++ Containers</a> and <a
<p><code>&lt;boost/python/iterator.hpp&gt;</code> provides types
and functions for creating <a
href="http://www.python.org/doc/current/lib/typeiter.html">Python
iterators</a> from <a
href="http://www.sgi.com/tech/stl/Container.html">C++
Containers</a> and <a
href="http://www.sgi.com/tech/stl/Iterators.html">Iterators</a>. Note
that if your <code>class_</code> supports random-access iterators,
implementing <code><a href=
"http://www.python.org/doc/current/ref/sequence-types.html#l2h-128">__getitem__</a></code>
(also known as the Sequence Protocol) may serve you better than using
this facility: Python will automatically create an iterator type for you
(see <a href=
"http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-35">iter()</a>),
and each access can be range-checked, leaving no possiblity of accessing
through an invalidated C++ iterator.</p>
implementing
<code><a
href="http://www.python.org/doc/current/ref/sequence-types.html#l2h-128">__getitem__</a></code>
(also known as the Sequence Protocol) may serve you better than
using this facility: Python will automatically create an iterator
type for you (see <a
href="http://www.python.org/doc/current/lib/built-in-funcs.html#l2h-35">iter()</a>),
and each access can be range-checked, leaving no possiblity of
accessing through an invalidated C++ iterator.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="iterator-spec"></a>Class Template <code>iterator</code></h3>
<p>Instances of <code>iterator&lt;C,P&gt;</code> hold a reference to a
callable Python object which, when invoked from Python, expects a single
argument <code>c</code> convertible to <code>C</code> and creates a
Python iterator that traverses [<code>c.begin()</code>,
<code>c.end()</code>). The optional <a href=
"CallPolicies.html">CallPolicies</a> <code>P</code> can be used to
control how elements are returned during iteration.</p>
<p>Instances of <code>iterator&lt;C,P&gt;</code> hold a reference
to a callable Python object which, when invoked from Python,
expects a single argument <code>c</code> convertible to
<code>C</code> and creates a Python iterator that traverses
[<code>c.begin()</code>,
<code>c.end()</code>). The optional <a
href="CallPolicies.html">CallPolicies</a>
<code>P</code> can be used to control how elements are returned
during iteration.
<p>In the table below, <code><b>c</b></code> is an instance of
<code>Container</code>.</p>
<p>In the table below, <code><b>c</b></code> is an instance of <code>Container</code>.
<table border="1" summary="iterator template parameters">
<tr>
<th>Template Parameter</th>
<th>Template Parameter
<th>Requirements</th>
<th>Requirements
<th>Semantics</th>
<th>Semantics
<th>Default</th>
</tr>
<th>Default
<tr>
<td><code>Container</code></td>
<td><code>Container</code>
<td>[c.begin(),c.end()) is a valid <a href=
"http://www.sgi.com/tech/stl/Iterators.html">Iterator range</a>.</td>
<td>[c.begin(),c.end()) is a valid <a
href="http://www.sgi.com/tech/stl/Iterators.html">Iterator
range</a>.
<td>The result will convert its argument to
<code>c</code> and call
<code>c.begin()</code> and <code>c.end()</code> to acquire
iterators. To invoke <code>Container</code>'s
<code>const</code> <code>begin()</code> and <code>end()</code>
functions, make it <code>const</code>.
<td>The result will convert its argument to <code>c</code> and call
<code>c.begin()</code> and <code>c.end()</code> to acquire iterators.
To invoke <code>Container</code>'s <code>const</code>
<code>begin()</code> and <code>end()</code> functions, make it
<code>const</code>.</td>
</tr>
<tr>
<td><code>NextPolicies</code></td>
<td><code>NextPolicies</code>
<td>A default-constructible model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a>.</td>
<td>A default-constructible model of <a
href="CallPolicies.html#CallPolicies-concept">CallPolicies</a>.
<td>Applied to the resulting iterators' <code>next()</code>
method.</td>
<td>Applied to the resulting iterators' <code>next()</code> method.
<td>An unspecified model of <a
href="CallPolicies.html#CallPolicies-concept">CallPolicies</a>
which always makes a copy of the
result of deferencing the underlying C++ iterator
<td>An unspecified model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a> which
always makes a copy of the result of deferencing the underlying C++
iterator</td>
</tr>
</table>
<h4><a name="iterator-spec-synopsis"></a>Class Template iterator
synopsis</h4>
<h4><a name="iterator-spec-synopsis"></a>Class Template iterator synopsis</h4>
<pre>
namespace boost { namespace python
{
template &lt;class Container
, class NextPolicies = <i>unspecified</i>&gt;
struct iterator : <a href="object.html#object-spec">object</a>
struct iterator : reference&lt;PyObject*&gt;
{
iterator();
};
}}
</pre>
<h4><a name="iterator-spec-constructors"></a>Class Template
iterator constructor</h4>
<h4><a name="iterator-spec-constructors"></a>Class Template iterator
constructor</h4>
<pre>
iterator()
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b></dt>
<dd>
Initializes its base class with the result of:
<dt><b>Effects:</b> Initializes its base class with the result
of:
<pre>
range&lt;NextPolicies&gt;(&amp;iterators&lt;Container&gt;::begin, &amp;iterators&lt;Container&gt;::end)
</pre>
</dd>
<dt><b>Postconditions:</b> <code>this-&gt;get()</code> points to a
Python callable object which creates a Python iterator as described
above.</dt>
<dt><b>Postconditions:</b> <code>this-&gt;get()</code> points to
a Python callable object which creates a Python iterator as
described above.
<dt><b>Rationale:</b> Provides an easy way to create iterators for the
common case where a C++ class being wrapped provides
<code>begin()</code> and <code>end()</code>.</dt>
<dt><b>Rationale:</b> Provides an easy way to create iterators
for the common case where a C++ class being wrapped provides
<code>begin()</code> and <code>end()</code>.
</dl>
<!-- -->
<h3><a name="iterators-spec"></a>Class Template
<code>iterators</code></h3>
<!-- -->
<p>A utility class template which provides a way to reliably call its
argument's <code>begin()</code> and <code>end()</code> member functions.
Note that there is no portable way to take the address of a member
function of a C++ standard library container, so
<code>iterators&lt;&gt;</code> can be particularly helpful when wrapping
them.</p>
<h3><a name="iterators-spec"></a>Class Template <code>iterators</code></h3>
<p>In the table below, <code><b>x</b></code> is an instance of
<code>C</code>.</p>
<p>A utility class template which provides a way to reliably call
its argument's <code>begin()</code> and <code>end()</code> member
functions. Note that there is no portable way to take the address
of a member function of a C++ standard library container, so
<code>iterators&lt;&gt;</code> can be particularly helpful when
wrapping them.
<p>In the table below, <code><b>x</b></code> is an instance of <code>C</code>.
<table border="1" summary="iterator template parameters">
<tr>
<th>Required Valid Expression</th>
<th>Required Valid Expression
<th>Type</th>
</tr>
<th>Type
<tr>
<td><code>x.begin()</code></td>
<td>Convertible to <code>C::const_iterator</code> if <code>C</code>
is a <code>const</code> type; convertible to <code>C::iterator</code>
otherwise.</td>
</tr>
<td><code>x.begin()</code>
<td>Convertible to <code>C::const_iterator</code> if <code>C</code> is a
<code>const</code> type; convertible to <code>C::iterator</code> otherwise.
<tr>
<td><code>x.end()</code></td>
<td><code>x.end()</code>
<td>Convertible to <code>C::const_iterator</code> if <code>C</code> is a
<code>const</code> type; convertible to <code>C::iterator</code> otherwise.
<td>Convertible to <code>C::const_iterator</code> if <code>C</code>
is a <code>const</code> type; convertible to <code>C::iterator</code>
otherwise.</td>
</tr>
</table>
<h4><a name="iterators-spec-synopsis"></a>Class Template iterators
synopsis</h4>
<h4><a name="iterators-spec-synopsis"></a>Class Template iterators synopsis</h4>
<pre>
namespace boost { namespace python
{
@@ -247,151 +224,141 @@ namespace boost { namespace python
}}
</pre>
<h4><a name="iterators-spec-types"></a>Class Template
iterators nested types</h4>
<h4><a name="iterators-spec-types"></a>Class Template iterators nested
types</h4>
If C is a <code>const</code> type,
If C is a <code>const</code> type,
<pre>
typedef typename C::const_iterator iterator;
</pre>
Otherwise:
Otherwise:
<pre>
typedef typename C::iterator iterator;
</pre>
<h4><a name="iterators-spec-statics"></a>Class Template iterators static
functions</h4>
<h4><a name="iterators-spec-statics"></a>Class Template
iterators static functions</h4>
<pre>
static iterator begin(C&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>x.begin()</code></dt>
<dt><b>Returns:</b> <code>x.begin()</code>
</dl>
<pre>
static iterator end(C&amp;);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>x.end()</code></dt>
<dt><b>Returns:</b> <code>x.end()</code>
</dl>
<!-- -->
<!-- -->
<h2><a name="functions"></a>Functions</h2>
<pre>
<a name=
"range-spec">template</a> &lt;class NextPolicies, class Target, class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
reference&lt;PyObject*&gt range(Accessor1 start, Accessor2 finish);
template &lt;class NextPolicies, class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
reference&lt;PyObject*&gt range(Accessor1 start, Accessor2 finish);
template &lt;class Accessor1, class Accessor2&gt;
<a href=
"object.html#object-spec">object</a> range(Accessor1 start, Accessor2 finish);
reference&lt;PyObject*&gt range(Accessor1 start, Accessor2 finish);
</pre>
<dl class="range-semantics">
<dt><b>Requires:</b> <code>NextPolicies</code> is a
default-constructible model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a>.</dt>
default-constructible model of <a
href="CallPolicies.html#CallPolicies-concept">CallPolicies</a>.
<dt><b>Effects:</b></dt>
<dt><b>Effects:</b> <dl>
<dd>
<dl>
<dt>The first form creates a Python callable object which, when
invoked, converts its argument to a <code>Target</code> object
<code>x</code>, and creates a Python iterator which traverses
[<code><a href=
"../../../bind/bind.html">bind</a>(start,_1)(x)</code>,&nbsp;<code><a
href="../../../bind/bind.html">bind</a>(finish,_1)(x)</code>),
applying <code>NextPolicies</code> to the iterator's
<code>next()</code> function.</dt>
The first form creates a Python callable
object which, when invoked, converts its argument to a
<code>Target</code> object
<code>x</code>, and creates a Python iterator which traverses
[<code><a
href="../../../bind/bind.html">bind</a>(start,_1)(x)</code>,&nbsp;<code><a
href="../../../bind/bind.html">bind</a>(finish,_1)(x)</code>),
applying <code>NextPolicies</code> to the iterator's
<code>next()</code> function.
<dd>
<dt>The second form is identical to
the first, except that <code>Target</code> is deduced from
<code>Accessor1</code> as follows:
<ol>
<li>If <code>Accessor1</code> is a function type,
<code>Target</code> is the type of its first argument.
<li>If <code>Accessor1</code> is a data member pointer of the
form <code>R&nbsp;(T::*)</code>, <code>Target</code> is
identical to <code>T</code>.
<li>If <code>Accessor1</code> is a member function pointer of
the form
<code>R&nbsp;(T::*)(</code><i>arguments...</i><code>)</code>&nbsp;<i>cv-opt</i>,
where <i>cv-opt</i> is an optional <code>cv-qualifier</code>,
<code>Target</code> is identical to <code>T</code>.
</ol>
<dd>
<dt>The second form is identical to the first, except that
<code>Target</code> is deduced from <code>Accessor1</code> as
follows:</dt>
<dt>The third form is identical to the second, except that
<code>NextPolicies</code> is an unspecified model of <a
href="CallPolicies.html#CallPolicies-concept">CallPolicies</a>
which always makes a copy of the
result of deferencing the underlying C++ iterator<dd>
</dl>
<dd>
<ol>
<li>If <code>Accessor1</code> is a function type,
<code>Target</code> is the type of its first argument.</li>
<li>If <code>Accessor1</code> is a data member pointer of the
form <code>R&nbsp;(T::*)</code>, <code>Target</code> is
identical to <code>T</code>.</li>
<li>If <code>Accessor1</code> is a member function pointer of
the form
<code>R&nbsp;(T::*)(</code><i>arguments...</i><code>)</code>&nbsp;
<i>cv-opt</i>, where <i>cv-opt</i> is an optional
<code>cv-qualifier</code>, <code>Target</code> is identical to
<code>T</code>.</li>
</ol>
</dd>
<dt>The third form is identical to the second, except that
<code>NextPolicies</code> is an unspecified model of <a href=
"CallPolicies.html#CallPolicies-concept">CallPolicies</a> which
always makes a copy of the result of deferencing the underlying C++
iterator</dt>
</dl>
</dd>
<dt><b>Rationale:</b> The use of <code><a href=
"../../../bind/bind.html">boost::bind</a>()</code> allows C++ iterators
to be accessed through functions, member functions or data member
pointers. Customization of <code>NextPolicies</code> (e.g. using
<code><a href=
"return_internal_reference.html#return_internal_reference-spec">return_internal_reference</a></code>)
is useful when it is expensive to copy sequence elements of a wrapped
class type. Customization of <code>Target</code> is useful when
<code>Accessor1</code> is a function object, or when a base class of
the intended target type would otherwise be deduced.</dt>
<dt><b>Rationale:</b> The use of <code><a
href="../../../bind/bind.html">boost::bind</a>()</code> allows
C++ iterators to be accessed through functions, member functions
or data member pointers. Customization of
<code>NextPolicies</code> (e.g. using <code><a
href="return_internal_reference.html#return_internal_reference-spec"
>return_internal_reference</a></code>) is useful when it is
expensive to copy sequence elements of a wrapped class
type. Customization of <code>Target</code> is useful when
<code>Accessor1</code> is a function object, or when a base
class of the intended target type would otherwise be deduced.
</dl>
<h2><a name="examples"></a>Examples</h2>
<pre>
#include &lt;boost/python/module.hpp&gt;
#include &lt;boost/python/class.hpp&gt;
#include &lt;boost/python/return_internal_reference.hpp&gt;
#include &lt;vector&gt;
using namespace boost::python;
BOOST_PYTHON_MODULE(demo)
BOOST_PYTHON_MODULE_INIT(demo)
{
class_&lt;std::vector&lt;double&gt; &gt;("dvec")
.def("__iter__", iterator&lt;std::vector&lt;double&gt; &gt;())
;
module(&quot;demo&quot;)
.add(
class_&lt;std::vector&lt;double&gt; &gt;(&quot;dvec&quot;)
.def(&quot;__iter__&quot;, iterator&lt;std::vector&lt;double&gt; &gt;())
...
)
;
}
</pre>
A more comprehensive example can be found in:
<dl>
<dt><code><a href=
"../../test/iterator.cpp">libs/python/test/iterator.cpp</a></code></dt>
A more comprehensive example can be found in:
<code><dl>
<dt><a href="../../test/iterator.cpp">libs/python/test/iterator.cpp</a><dd>
<dt><a href="../../test/input_iterator.cpp">libs/python/test/input_iterator.cpp</a><dd>
<dt><a href="../../test/iterator.py">libs/python/test/input_iterator.py</a><dd>
</code>
<dt><code><a href=
"../../test/input_iterator.cpp">libs/python/test/input_iterator.cpp</a></code></dt>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
17 May, 2002
<!--webbot bot="Timestamp" endspan i-checksum="39359" -->
<dt><code><a href=
"../../test/iterator.py">libs/python/test/input_iterator.py</a></code></dt>
<dd>
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2002
<!--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>
</dd>
</dl>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

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<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/list.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/list.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#list-spec">Class <code>list</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#list-spec-synopsis">Class <code>list</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/doc/current/lib/typesseq-mutable.html">list</a>
type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="list-spec"></a>Class <code>list</code></h3>
<p>Exposes the <a href=
"http://www.python.org/doc/current/lib/typesseq-mutable.html">mapping
protocol</a> of Python's built-in <code>list</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>list</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>list</code> instances as well.</p>
<h4><a name="list-spec-synopsis"></a>Class <code>list</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class list : public object
{
public:
list(); // new list
template &lt;class T&gt;
explicit list(T const&amp; sequence);
template &lt;class T&gt;
void append(T const&amp; x);
template &lt;class T&gt;
long count(T const&amp; value) const;
template &lt;class T&gt;
void extend(T const&amp; x);
template &lt;class T&gt;
long index(T const&amp; x) const;
template &lt;class T&gt;
void insert(object const&amp; index, T const&amp; x); // insert object before index
object pop(); // remove and return item at index (default last)
object pop(long index);
object pop(object const&amp; index);
template &lt;class T&gt;
void remove(T const&amp; value);
void reverse(); // reverse *IN PLACE*
void sort(); // sort *IN PLACE*; if given, cmpfunc(x, y) -&gt; -1, 0, 1
template &lt;class T&gt;
void sort(T const&amp; value);
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
using namespace boost::python;
// Return the number of zeroes in the list
long zeroes(list l)
{
return l.count(0);
}
</pre>
<p>Revised 1 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
</html>

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@@ -1,117 +0,0 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
"HTML Tidy for Windows (vers 1st August 2002), see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/long.hpp&gt;</title>
</head>
<body>
<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">Boost.Python</h1>
<h2 align="center">Header &lt;boost/python/long.hpp&gt;</h2>
</td>
</tr>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#classes">Classes</a></dt>
<dd>
<dl class="page-index">
<dt><a href="#long_-spec">Class <code>long_</code></a></dt>
<dd>
<dl class="page-index">
<dt><a href="#long_-spec-synopsis">Class <code>long_</code>
synopsis</a></dt>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example(s)</a></dt>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<p>Exposes a <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> for the Python
<a href=
"http://www.python.org/doc/current/lib/typesnumeric.html">long</a>
integer type.</p>
<h2><a name="classes"></a>Classes</h2>
<h3><a name="long_-spec"></a>Class <code>long_</code></h3>
<p>Exposes the <a href=
"http://www.python.org/doc/current/lib/typesnumeric.html">numeric type
protocol</a> of Python's built-in <code>long</code> type. The semantics
of the constructors and member functions defined below can be fully
understood by reading the <a href=
"ObjectWrapper.html#TypeWrapper-concept">TypeWrapper</a> concept
definition. Since <code>long_</code> is publicly derived from <code><a
href="object.html#object-spec">object</a></code>, the public object
interface applies to <code>long_</code> instances as well.</p>
<h4><a name="long_-spec-synopsis"></a>Class <code>long_</code>
synopsis</h4>
<pre>
namespace boost { namespace python
{
class long_ : public object
{
public:
long_(); // new long_
template &lt;class T&gt;
explicit long_(T const&amp; rhs);
template &lt;class T, class U&gt;
long_(T const&amp; rhs, U const&amp; base);
};
}}
</pre>
<h2><a name="examples"></a>Example</h2>
<pre>
namespace python = boost::python;
// compute a factorial without overflowing
python::long_ fact(long n)
{
if (n == 0)
return python::long_(1);
else
return n * fact(n - 1);
}
</pre>
<p>Revised 1 October, 2002</p>
<p><i>&copy; Copyright <a href=
"../../../../people/dave_abrahams.htm">Dave Abrahams</a> 2002. All Rights
Reserved.</i></p>
</body>
</html>

View File

@@ -1,145 +1,128 @@
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html>
<head>
<meta name="generator" content=
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<meta name="generator" content="HTML Tidy, see www.w3.org">
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<link rel="stylesheet" type="text/css" href="../boost.css">
<title>Boost.Python - &lt;boost/python/lvalue_from_python.hpp&gt;</title>
</head>
<body>
<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>
<h3><a href="../../../../index.htm"><img height="86" width="277" alt=
"C++ Boost" src="../../../../c++boost.gif" border="0"></a></h3>
<td valign="top">
<h1 align="center">Boost.Python</h1>
<h2 align="center">Header
&lt;boost/python/lvalue_from_pytype.hpp&gt;</h2>
</td>
</tr>
<h2 align="center">Header &lt;boost/python/lvalue_from_pytype.hpp&gt;</h2>
</table>
<hr>
<h2>Contents</h2>
<dl class="page-index">
<dt><a href="#introduction">Introduction</a></dt>
<dt><a href="#introduction">Introduction</a>
<dt><a href="#classes">Classes</a></dt>
<dt><a href="#classes">Classes</a>
<dd>
<dl class="page-index">
<dt><a href="#lvalue_from_pytype-spec">Class Template
<code>lvalue_from_pytype</code></a></dt>
<dt><a href="#lvalue_from_pytype-spec">Class Template <code>lvalue_from_pytype</code></a>
<dd>
<dl class="page-index">
<dt><a href="#lvalue_from_pytype-spec-synopsis">Class Template
<code>lvalue_from_pytype</code> synopsis</a></dt>
<code>lvalue_from_pytype</code> synopsis</a>
<dt><a href="#lvalue_from_pytype-spec-ctors">Class Template
<code>lvalue_from_pytype</code> constructor</a></dt>
<code>lvalue_from_pytype</code> constructor</a>
</dl>
</dd>
</dl>
<dl class="page-index">
<dt><a href="#extract_identity-spec">Class Template
<code>extract_identity</code></a></dt>
<dt><a href="#extract_identity-spec">Class Template <code>extract_identity</code></a>
<dd>
<dl class="page-index">
<dt><a href="#extract_identity-spec-synopsis">Class Template
<code>extract_identity</code> synopsis</a></dt>
<code>extract_identity</code> synopsis</a>
<dt><a href="#extract_identity-spec-statics">Class Template
<code>extract_identity</code> static functions</a></dt>
<code>extract_identity</code> static functions</a>
</dl>
</dd>
<dt><a href="#extract_member-spec">Class Template
<code>extract_member</code></a></dt>
<dt><a href="#extract_member-spec">Class Template <code>extract_member</code></a>
<dd>
<dl class="page-index">
<dt><a href="#extract_member-spec-synopsis">Class Template
<code>extract_member</code> synopsis</a></dt>
<code>extract_member</code> synopsis</a>
<dt><a href="#extract_member-spec-statics">Class Template
<code>extract_member</code> static functions</a></dt>
<code>extract_member</code> static functions</a>
</dl>
</dd>
</dl>
</dd>
<dt><a href="#examples">Example</a></dt>
<dt><a href="#examples">Example</a>
</dl>
<hr>
<h2><a name="introduction"></a>Introduction</h2>
<code>&lt;boost/python/lvalue_from_pytype.hpp&gt;</code> supplies a
facility for extracting C++ objects from within Python instances of a
given type. This is typically useful for dealing with "traditional"
Python extension types.
<code>&lt;boost/python/lvalue_from_pytype.hpp&gt;</code> supplies
a facility for extracting C++ objects from within Python instances
of a given type. This is typically useful for dealing with
&quot;traditional&quot; Python extension types.
<h2><a name="classes"></a>Classes</h2>
<h3><a name="lvalue_from_pytype-spec"></a>Class template
<code>lvalue_from_pytype</code></h3>
<h3><a name="lvalue_from_pytype-spec"></a>Class template <code>lvalue_from_pytype</code></h3>
<p>Class template <code>lvalue_from_pytype</code> will register
from_python converters which, given an object of the given Python type,
can extract references and pointers to a particular C++ type. Its
template arguments are:</p>
from_python converters which, given an object of the given Python
type, can extract references and pointers to a particular C++
type. Its template arguments are:
<p>
<table border="1" summary="lvalue_from_pytype template parameters">
<caption>
<b><code>lvalue_from_pytype</code> Requirements</b><br>
In the table below, <b><code>x</code></b> denotes an object of type
<code>PythonObject&amp;</code>
In the table below, <b><code>x</code></b> denotes an object of type <code>PythonObject&amp;</code>
</caption>
<tr>
<th>Parameter
<th>Requirements
<th>Semantics
<tr>
<th>Parameter</th>
<td><code>Extractor</code>
<th>Requirements</th>
<td>a model of <a
href="Extractor.html#Extractor-concept">Extractor</a> whose
execute function returns a reference type.
<th>Semantics</th>
</tr>
<td>Extracts the lvalue from the Python object once its type has been confirmed
<tr>
<td><code>Extractor</code></td>
<td><code>python_type</code>
<td>a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> whose execute
function returns a reference type.</td>
<td>A compile-time constant <code><a
href="http://www.python.org/doc/2.2/ext/dnt-type-methods.html">PyTypeObject</a>*</code>
<td>Extracts the lvalue from the Python object once its type has been
confirmed</td>
</tr>
<td>The Python type of instances convertible by this
converter. Python subtypes are also convertible.
<tr>
<td><code>python_type</code></td>
<td>A compile-time constant <code><a href=
"http://www.python.org/doc/2.2/ext/dnt-type-methods.html">PyTypeObject</a>*</code></td>
<td>The Python type of instances convertible by this converter.
Python subtypes are also convertible.</td>
</tr>
</table>
<h4><a name="lvalue_from_pytype-spec-synopsis"></a>Class template
<code>lvalue_from_pytype</code> synopsis</h4>
<h4><a name="lvalue_from_pytype-spec-synopsis"></a>Class template <code>lvalue_from_pytype</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
@@ -151,25 +134,25 @@ namespace boost { namespace python
}}
</pre>
<h4><a name="lvalue_from_pytype-spec-ctors"></a>Class template
<code>lvalue_from_pytype</code> constructor</h4>
<h4><a name="lvalue_from_pytype-spec-ctors"></a>Class template <code>lvalue_from_pytype</code> constructor</h4>
<pre>
lvalue_from_pytype();
</pre>
<dl class="function-semantics">
<dt><b>Effects:</b> Registers converters which can convert Python
objects of the given type to lvalues of the type returned by
<code>Extractor::execute</code>.</dt>
<dt><b>Effects:</b> Registers converters which can convert
Python objects of the given type to lvalues of the type returned
by <code>Extractor::execute</code>.
</dl>
<h3><a name="extract_identity-spec"></a>Class template
<code>extract_identity</code></h3>
<h3><a name="extract_identity-spec"></a>Class template <code>extract_identity</code></h3>
<p><code>extract_identity</code> is a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> which can be used in the
common case where the C++ type to be extracted is the same as the Python
object type.</p>
<p><code>extract_identity</code> is a model of <a
href="Extractor.html#Extractor-concept">Extractor</a> which can be
used in the common case where the C++ type to be extracted is the
same as the Python object type.
<h4><a name="extract_identity-spec-synopsis"></a>Class template
<code>extract_identity</code> synopsis</h4>
@@ -184,26 +167,26 @@ namespace boost { namespace python
}}
</pre>
<h4><a name="extract_identity-spec-statics"></a>Class template
<code>extract_identity</code> static functions</h4>
<h4><a name="extract_identity-spec-statics"></a>Class template <code>extract_identity</code> static functions</h4>
<pre>
InstanceType&amp; execute(InstanceType&amp; c);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>c</code></dt>
<dt><b>Returns:</b> <code>c</code>
</dl>
<h3><a name="extract_member-spec"></a>Class template
<code>extract_member</code></h3>
<p><code>extract_member</code> is a model of <a href=
"Extractor.html#Extractor-concept">Extractor</a> which can be used in the
common case in the common case where the C++ type to be extracted is a
member of the Python object.</p>
<h3><a name="extract_member-spec"></a>Class template <code>extract_member</code></h3>
<h4><a name="extract_member-spec-synopsis"></a>Class template
<code>extract_member</code> synopsis</h4>
<p><code>extract_member</code> is a model of <a
href="Extractor.html#Extractor-concept">Extractor</a> which can be
used in the common case in the common case where the C++
type to be extracted is a member of the Python object.
<h4><a name="extract_member-spec-synopsis"></a>Class template <code>extract_member</code> synopsis</h4>
<pre>
namespace boost { namespace python
{
@@ -215,28 +198,31 @@ namespace boost { namespace python
}}
</pre>
<h4><a name="extract_member-spec-statics"></a>Class template
<code>extract_member</code> static functions</h4>
<h4><a name="extract_member-spec-statics"></a>Class template <code>extract_member</code> static functions</h4>
<pre>
static MemberType&amp; execute(InstanceType&amp; c);
</pre>
<dl class="function-semantics">
<dt><b>Returns:</b> <code>c.*member</code></dt>
<dt><b>Returns:</b> <code>c.*member</code>
</dl>
<h2><a name="examples"></a>Example</h2>
This example presumes that someone has implemented the standard <a href=
"http://www.python.org/doc/2.2/ext/dnt-basics.html">noddy example
module</a> from the Python documentation, and we want to build a module
which manipulates <code>Noddy</code>s. Since
<code>noddy_NoddyObject</code> is so simple that it carries no
interesting information, the example is a bit contrived: it assumes you
want to keep track of one particular object for some reason. This module
would have to be dynamically linked to the module which defines
<code>noddy_NoddyType</code>.
<h3>C++ module definition</h3>
This example presumes that someone has implemented the standard <a
href="http://www.python.org/doc/2.2/ext/dnt-basics.html">noddy
example module</a> from the Python documentation, and we want to build
a module which manipulates <code>Noddy</code>s. Since
<code>noddy_NoddyObject</code> is so simple that it carries no
interesting information, the example is a bit contrived: it assumes
you want to keep track of one particular object for some reason. This
module would have to be dynamically linked to the module which defines
<code>noddy_NoddyType</code>.
<h3>C++ module definition</h3>
<pre>
#include &lt;boost/python/reference.hpp&gt;
#include &lt;boost/python/module.hpp&gt;
@@ -259,17 +245,20 @@ void set_cache(noddy_NoddyObject* x)
cache.reset((PyObject*)x, ref::increment_count);
}
BOOST_PYTHON_MODULE(noddy_cache)
BOOST_PYTHON_MODULE_INIT(noddy_cache)
{
def("is_cached", is_cached);
def("set_cache", set_cache);
module noddy_cache(&quot;noddy_cache&quot;)
.def(&quot;is_cached&quot;, is_cached)
.def(&quot;set_cache&quot;, set_cache)
;
// register Noddy lvalue converter
lvalue_from_pytype&lt;extract_identity&lt;noddy_NoddyObject&gt;,&amp;noddy_NoddyType&gt;();
}
</pre>
<h3>Python code</h3>
<h3>Python code</h3>
<pre>
&gt;&gt;&gt; import noddy
&gt;&gt;&gt; n = noddy.new_noddy()
@@ -285,13 +274,10 @@ BOOST_PYTHON_MODULE(noddy_cache)
<p>Revised
<!--webbot bot="Timestamp" S-Type="EDITED" S-Format="%d %B, %Y" startspan -->
29 September, 2001
05 November, 2001
<!--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>
</body>
</html>
<p><i>&copy; Copyright <a href="../../../../people/dave_abrahams.htm">Dave
Abrahams</a> 2002. All Rights Reserved.</i>

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