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To get started with the Boost Python Library, use the examples
getting_started?.cpp and abstract.cpp.
The files example1.cpp and rwgk1.cpp are obsolete. They are only
included because the makefiles in the build directory still refer to
them. This will be fixed later.

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// Example by Ullrich Koethe
#include "boost/python/class_builder.hpp"
#include <string>
struct Abstract
{
virtual std::string test() = 0;
};
struct Abstract_callback: Abstract
{
Abstract_callback(PyObject * self)
: m_self(self)
{}
std::string test()
{
return boost::python::callback<std::string>::call_method(m_self, "test");
}
PyObject * m_self;
};
extern "C"
DL_EXPORT(void)
initabstract()
{
boost::python::module_builder a("abstract");
boost::python::class_builder<Abstract, Abstract_callback>
a_class(a, "Abstract");
a_class.def(boost::python::constructor<>()); // wrap a constructor
a_class.def(&Abstract::test, "test");
}

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#include <string>
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; }
}
#include <boost/python/class_builder.hpp>
namespace python = boost::python;
// Python requires an exported function called init<module-name> in every
// extension module. This is where we build the module contents.
BOOST_PYTHON_MODULE_INIT(getting_started1)
{
try
{
// 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");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}

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#include <iostream>
#include <string>
namespace { // Avoid cluttering the global namespace.
// A friendly class.
class hello
{
public:
hello(const std::string& country) { this->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& w) {
return w.greet() + "! Please come soon!";
}
}
#include <boost/python/class_builder.hpp>
namespace python = boost::python;
BOOST_PYTHON_MODULE_INIT(getting_started2)
{
try
{
// 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<hello> hello_class(this_module, "hello");
// Add the __init__ function.
hello_class.def(python::constructor<std::string>());
// Add a regular member function.
hello_class.def(&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");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}

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/*
This example shows how to make an Extension Class "pickleable".
Python's pickle module implements a basic but powerful algorithm
for "pickling" (a.k.a. serializing, marshalling or flattening)
nearly arbitrary Python objects.
The user can influence how an Extension Class instance is pickled
by defining three special methods: __getinitargs__(),
__getstate__(), and __setstate(). This interface is similar to
that for regular Python classes as described in detail in the
Python Library Reference for pickle:
http://www.python.org/doc/current/lib/module-pickle.html
When an Extension Class instance is pickled, __getinitargs__() is
called, if implemented. This method should return a tuple
containing the arguments to be passed to the class constructor when
the object is restored.
If there is no __getstate__() method, the instance's __dict__ is
pickled if it is not empty. If __getstate__() is defined, it should
return an object representing the state of the instance.
If there is no __setstate__() method, __getstate__() must return a
dictionary. When the instance is restored, the items in this dictionary
are added to the instance's __dict__.
If the Extension Class defines __setstate__(), the pickle loader
calls it with the result of __getstate__() as arguments. In this
case, the state object need not be a dictionary. The
__getstate__() and __setstate__() methods can do what they want.
If both __getinitargs__() and __getstate__() are defined, the
instance is restored by first calling the constructor with
the result of __getinitargs__() as argument. After the instance
is reconstructed, the __dict__ is updated or __setstate__() is
called if implemented.
The mechanism described here is an exact replication of that one
implemented by Jim Fulton's ExtensionClass (included in Zope 2.2.2).
*/
#include <iostream>
#include <string>
#include <boost/python/class_builder.hpp>
namespace python = boost::python;
namespace { // Avoid cluttering the global namespace.
// A friendly class.
class world
{
private:
std::string country;
int secret_number;
public:
world(const std::string& country) : secret_number(0) {
this->country = country;
}
std::string greet() const { return "Hello from " + country + "!"; }
std::string get_country() const { return country; }
void set_secret_number(int number) { secret_number = number; }
int get_secret_number() const { return secret_number; }
};
// Support for pickle.
python::tuple world_getinitargs(const world& w) {
python::tuple result(1);
result.set_item(0, w.get_country());
return result;
}
python::tuple world_getstate(const world& w) {
python::tuple result(1);
result.set_item(0, w.get_secret_number());
return result;
}
void world_setstate(world& w, python::tuple state) {
if (state.size() != 1) {
PyErr_SetString(PyExc_ValueError,
"Unexpected argument in call to __setstate__.");
throw python::error_already_set();
}
int number = BOOST_PYTHON_CONVERSION::from_python(state[0].get(),
python::type<int>());
if (number != 42)
w.set_secret_number(number);
}
}
BOOST_PYTHON_MODULE_INIT(getting_started3)
{
try
{
// Create an object representing this extension module.
python::module_builder this_module("getting_started3");
// Create the Python type object for our extension class.
python::class_builder<world> world_class(this_module, "world");
// Add the __init__ function.
world_class.def(python::constructor<std::string>());
// Add a regular member function.
world_class.def(&world::greet, "greet");
world_class.def(&world::get_secret_number, "get_secret_number");
world_class.def(&world::set_secret_number, "set_secret_number");
// Support for pickle.
world_class.def(world_getinitargs, "__getinitargs__");
world_class.def(world_getstate, "__getstate__");
world_class.def(world_setstate, "__setstate__");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}

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#include <boost/python/class_builder.hpp>
namespace python = boost::python;
namespace { // Avoid cluttering the global namespace.
// A wrapper is used to define additional constructors.
//
struct vector_double_wrapper: std::vector<double>
{
// Tell the compiler how to convert a base class object to
// this wrapper object.
vector_double_wrapper(PyObject*, const std::vector<double>& vd)
: std::vector<double>(vd) {}
vector_double_wrapper(PyObject* self)
: std::vector<double>() {}
vector_double_wrapper(PyObject* self, const int n)
: std::vector<double>(n) {}
vector_double_wrapper(PyObject* self, python::tuple tuple)
: std::vector<double>(tuple.size())
{
std::vector<double>::iterator vd = begin();
for (int i = 0; i < tuple.size(); i++)
vd[i] = BOOST_PYTHON_CONVERSION::from_python(tuple[i].get(),
python::type<double>());
}
};
double getitem(const std::vector<double>& vd, const std::size_t key) {
return vd[key];
}
void setitem(std::vector<double>& vd, const std::size_t key,
const double &d) {
std::vector<double>::iterator vditer = vd.begin();
vditer[key] = d;
}
void delitem(std::vector<double>& vd, const std::size_t key) {
std::vector<double>::iterator vditer = vd.begin();
vd.erase(&vditer[key]);
}
// Convert vector_double to a regular Python tuple.
//
python::tuple as_tuple(const std::vector<double>& vd)
{
python::tuple t(vd.size());
for (int i = 0; i < vd.size(); i++) t.set_item(i,
python::ref(BOOST_PYTHON_CONVERSION::to_python(vd[i])));
return t;
}
// Function returning a vector_double object to Python.
//
std::vector<double> foo(const int n)
{
std::vector<double> vd(n);
std::vector<double>::iterator vditer = vd.begin();
for (int i = 0; i < n; i++) vditer[i] = double(i);
return vd;
}
// Same as foo(), but avoid copying on return.
//
std::auto_ptr<std::vector<double> > bar(const int n)
{
std::auto_ptr<std::vector<double> > vdptr(new std::vector<double>(n));
std::vector<double>::iterator vditer = vdptr->begin();
for (int i = 0; i < n; i++) vditer[i] = double(10 * i);
return vdptr;
}
}
BOOST_PYTHON_MODULE_INIT(getting_started4)
{
try
{
python::module_builder this_module("getting_started4");
python::class_builder<std::vector<double>, vector_double_wrapper>
vector_double(this_module, "vector_double");
vector_double.def(python::constructor<>());
vector_double.def(python::constructor<const int>());
vector_double.def(python::constructor<python::tuple>());
vector_double.def(&std::vector<double>::size, "__len__");
vector_double.def(getitem, "__getitem__");
vector_double.def(setitem, "__setitem__");
vector_double.def(delitem, "__delitem__");
vector_double.def(as_tuple, "as_tuple");
this_module.def(foo, "foo");
this_module.def(bar, "bar");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}

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/*
This example shows how to convert a class from and to native
Python objects, such as tuples.
We do not want to expose the helper class MillerIndex as an
Extension Class. However, in order to simplify the wrapper code,
we want to define from_python() and to_python() functions for
class MillerIndex.
Consider the alternatives:
- Expose MillerIndex as an Extension Class.
We need a constructor MillerIndex(python::tuple).
Python function calls become more complex:
foo(MillerIndex((1,2,3)) instead of foo((1,2,3))
We need a method such as MillerIndex().as_tuple().
- Define a wrapper function for each function that we
want to expose, e.g.:
void add(const IndexingSet& ixset, const python::tuple PyMIx)
The first alternative introduces a new type that the user has to
deal with. Other modules using Miller indices might organize them in
different ways, for example to increase runtime efficiency for
important procedures. This means, the user has to know how to
convert between the different kinds of Miller index representations.
This can quickly become a nuisance. Relying on native Python data
structures minimizes the number of special types the user has to
learn and convert. Of course, this argument is only valid for
small and relatively simply classes.
If there are many member functions with MillerIndex arguments, the
second alternative is impractical, and concentrating the conversion
mechanism in one central place is essential for code
maintainability. An added benefit is that more convenient (smarter)
conversion functions can be provided without cluttering the rest of
the wrapper code.
*/
#include <string>
#include <vector>
#include <boost/python/class_builder.hpp>
namespace python = boost::python;
namespace { // Avoid cluttering the global namespace.
// The helper class.
//
class MillerIndex {
public:
int v[3];
};
// The main class. Imagine that there are MANY member functions
// like add() and get().
//
class IndexingSet {
private:
std::vector<MillerIndex> VMIx;
public:
void add(const MillerIndex& MIx) { VMIx.push_back(MIx); }
MillerIndex get(const std::size_t i) const { return VMIx[i]; }
};
}
BOOST_PYTHON_BEGIN_CONVERSION_NAMESPACE
// Convert a Python tuple to a MillerIndex object.
//
MillerIndex from_python(PyObject* p, python::type<const MillerIndex&>)
{
python::tuple tup
= python::tuple(python::ref(p, python::ref::increment_count));
if (tup.size() != 3) {
PyErr_SetString(PyExc_ValueError,
"expecting exactly 3 values in tuple.");
throw python::error_already_set();
}
MillerIndex result;
for (int i = 0; i < 3; i++)
result.v[i] = from_python(tup[i].get(), python::type<int>());
return result;
}
// Similar conversion for MillerIndex objects passed by value.
// Not actually used, but included to show the principle.
//
MillerIndex from_python(PyObject* p, python::type<MillerIndex>)
{
return from_python(p, python::type<const MillerIndex&>());
}
// Convert a MillerIndex object to a Python tuple.
//
PyObject* to_python(const MillerIndex& hkl)
{
python::tuple result(3);
for (int i = 0; i < 3; i++)
result.set_item(i, python::ref(to_python(hkl.v[i])));
return result.reference().release();
}
BOOST_PYTHON_END_CONVERSION_NAMESPACE
BOOST_PYTHON_MODULE_INIT(getting_started5)
{
try
{
// Create an object representing this extension module.
python::module_builder this_module("getting_started5");
// Create the Python type object for our extension class.
python::class_builder<IndexingSet> ixset_class(this_module, "IndexingSet");
// Add the __init__ function.
ixset_class.def(python::constructor<>());
// Add the member functions.
ixset_class.def(&IndexingSet::add, "add");
ixset_class.def(&IndexingSet::get, "get");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}

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#include <string>
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; }
}
#include <boost/python/class_builder.hpp>
namespace python = boost::python;
// Python requires an exported function called init<module-name> in every
// extension module. This is where we build the module contents.
extern "C"
#ifdef _WIN32
__declspec(dllexport)
#endif
void initrwgk1()
{
try
{
// Create an object representing this extension module.
python::module_builder this_module("rwgk1");
// Add regular functions to the module.
this_module.def(greet, "greet");
this_module.def(square, "square");
}
catch(...)
{
python::handle_exception(); // Deal with the exception for Python
}
}
// Win32 DLL boilerplate
#if defined(_WIN32)
#include <windows.h>
extern "C" BOOL WINAPI DllMain(HINSTANCE, DWORD, LPVOID) { return 1; }
#endif // _WIN32

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# Example by Ullrich Koethe
r'''>>> from abstract import *
>>> class A(Abstract):
... def __init__(self, text):
... Abstract.__init__(self) # call the base class constructor
... self.text = text
... def test(self): # implement abstract function
... return self.text
...
>>> a = A("Hello")
>>> a.test()
'Hello'
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_abstract
doctest.testmod(test_abstract)
if __name__ == '__main__':
run()

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r'''>>> import getting_started1
>>> print getting_started1.greet()
hello, world
>>> number = 11
>>> print number, '*', number, '=', getting_started1.square(number)
11 * 11 = 121
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_getting_started1
doctest.testmod(test_getting_started1)
if __name__ == '__main__':
run()

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r'''>>> from getting_started2 import *
>>> hi = hello('California')
>>> hi.greet()
'Hello from California'
>>> invite(hi)
'Hello from California! Please come soon!'
>>> hi.invite()
'Hello from California! Please come soon!'
>>> class wordy(hello):
... def greet(self):
... return hello.greet(self) + ', where the weather is fine'
...
>>> hi2 = wordy('Florida')
>>> hi2.greet()
'Hello from Florida, where the weather is fine'
>>> invite(hi2)
'Hello from Florida! Please come soon!'
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_getting_started2
doctest.testmod(test_getting_started2)
if __name__ == '__main__':
run()

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r'''>>> import getting_started3
>>> import re
>>> import pickle
>>> getting_started3.world.__module__
'getting_started3'
>>> getting_started3.world.__safe_for_unpickling__
1
>>> getting_started3.world.__reduce__()
'world'
>>> assert re.match(
... "\(<extension class getting_started3.world at [0-9a-fA-FxX]+>, \('Hello',\), \(0,\)\)",
... repr(getting_started3.world('Hello').__reduce__()))
>>>
>>> for number in (24, 42):
... wd = getting_started3.world('California')
... wd.set_secret_number(number)
... pstr = pickle.dumps(wd)
... print pstr
... wl = pickle.loads(pstr)
... print wd.greet(), wd.get_secret_number()
... print wl.greet(), wl.get_secret_number()
cgetting_started3
world
p0
(S'California'
p1
tp2
R(I24
tp3
bp4
.
Hello from California! 24
Hello from California! 24
cgetting_started3
world
p0
(S'California'
p1
tp2
R(I42
tp3
bp4
.
Hello from California! 42
Hello from California! 0
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_getting_started3
doctest.testmod(test_getting_started3)
if __name__ == '__main__':
run()

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r'''>>> import getting_started4
>>> v=getting_started4.vector_double()
>>> print v.as_tuple()
()
>>> v=getting_started4.vector_double(5)
>>> print v.as_tuple()
(0.0, 0.0, 0.0, 0.0, 0.0)
>>> print len(v)
5
>>> v=getting_started4.vector_double((3,4,5))
>>> print v.as_tuple()
(3.0, 4.0, 5.0)
>>> print v[1]
4.0
>>> v[1] = 40
>>> print v.as_tuple()
(3.0, 40.0, 5.0)
>>> del v[1]
>>> print v.as_tuple()
(3.0, 5.0)
>>> print getting_started4.foo(11).as_tuple()
(0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0)
>>> print getting_started4.bar(12).as_tuple()
(0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0, 110.0)
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_getting_started4
doctest.testmod(test_getting_started4)
if __name__ == '__main__':
run()

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r'''>>> import getting_started5
>>> ixset = getting_started5.IndexingSet()
>>> ixset.add((1,2,3))
>>> ixset.add((4,5,6))
>>> ixset.add((7,8,9))
>>> print ixset.get(0)
(1, 2, 3)
>>> print ixset.get(1)
(4, 5, 6)
>>> print ixset.get(2)
(7, 8, 9)
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_getting_started5
doctest.testmod(test_getting_started5)
if __name__ == '__main__':
run()

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r'''>>> import rwgk1
>>> print rwgk1.greet()
hello, world
>>> number = 11
>>> print number, '*', number, '=', rwgk1.square(number)
11 * 11 = 121
'''
def run(args = None):
if args is not None:
import sys
sys.argv = args
import doctest, test_rwgk1
doctest.testmod(test_rwgk1)
if __name__ == '__main__':
run()