Commit 9564b99f authored by scoder's avatar scoder Committed by GitHub

Merge pull request #2324 from gabrieldemarmiesse/update_cpp_examples

Update cpp examples
parents e3651b15 d41a072d
#include <iostream>
#include "Rectangle.h"
namespace shapes {
// Default constructor
Rectangle::Rectangle () {}
// Overloaded constructor
Rectangle::Rectangle (int x0, int y0, int x1, int y1) {
this->x0 = x0;
this->y0 = y0;
this->x1 = x1;
this->y1 = y1;
}
// Destructor
Rectangle::~Rectangle () {}
// Return the area of the rectangle
int Rectangle::getArea () {
return (this->x1 - this->x0) * (this->y1 - this->y0);
}
// Get the size of the rectangle.
// Put the size in the pointer args
void Rectangle::getSize (int *width, int *height) {
(*width) = x1 - x0;
(*height) = y1 - y0;
}
// Move the rectangle by dx dy
void Rectangle::move (int dx, int dy) {
this->x0 += dx;
this->y0 += dy;
this->x1 += dx;
this->y1 += dy;
}
}
#ifndef RECTANGLE_H
#define RECTANGLE_H
namespace shapes {
class Rectangle {
public:
int x0, y0, x1, y1;
Rectangle();
Rectangle(int x0, int y0, int x1, int y1);
~Rectangle();
int getArea();
void getSize(int* width, int* height);
void move(int dx, int dy);
};
}
#endif
cdef extern from "Rectangle.cpp":
pass
# Decalre the class with cdef
cdef extern from "Rectangle.h" namespace "shapes":
cdef cppclass Rectangle:
Rectangle() except +
Rectangle(int, int, int, int) except +
int x0, y0, x1, y1
int getArea()
void getSize(int*width, int*height)
void move(int, int)
# distutils: language = c++
from Rectangle cimport Rectangle
def main():
rec_ptr = new Rectangle(1, 2, 3, 4) # Instantiate a Rectangle object on the heap
try:
rec_area = rec_ptr.getArea()
finally:
del rec_ptr # delete heap allocated object
cdef Rectangle rec_stack # Instantiate a Rectangle object on the stack
# distutils: language = c++
from Rectangle cimport Rectangle
# Create a Cython extension type which holds a C++ instance
# as an attribute and create a bunch of forwarding methods
# Python extension type.
cdef class PyRectangle:
cdef Rectangle c_rect # Hold a C++ instance which we're wrapping
def __cinit__(self, int x0, int y0, int x1, int y1):
self.c_rect = Rectangle(x0, y0, x1, y1)
def get_area(self):
return self.c_rect.getArea()
def get_size(self):
cdef int width, height
self.c_rect.getSize(&width, &height)
return width, height
def move(self, dx, dy):
self.c_rect.move(dx, dy)
# distutils: language = c++
from Rectangle cimport Rectangle
cdef class PyRectangle:
cdef Rectangle*c_rect # hold a pointer to the C++ instance which we're wrapping
def __cinit__(self, int x0, int y0, int x1, int y1):
self.c_rect = new Rectangle(x0, y0, x1, y1)
def __dealloc__(self):
del self.c_rect
# distutils: language = c++
from Rectangle cimport Rectangle
cdef class PyRectangle:
cdef Rectangle c_rect
def __cinit__(self, int x0, int y0, int x1, int y1):
self.c_rect = Rectangle(x0, y0, x1, y1)
def get_area(self):
return self.c_rect.getArea()
def get_size(self):
cdef int width, height
self.c_rect.getSize(&width, &height)
return width, height
def move(self, dx, dy):
self.c_rect.move(dx, dy)
# Attribute access
@property
def x0(self):
return self.c_rect.x0
@x0.setter
def x0(self, x0):
self.c_rect.x0 = x0
# Attribute access
@property
def x1(self):
return self.c_rect.x1
@x1.setter
def x1(self, x1):
self.c_rect.x1 = x1
# Attribute access
@property
def y0(self):
return self.c_rect.y0
@y0.setter
def y0(self, y0):
self.c_rect.y0 = y0
# Attribute access
@property
def y1(self):
return self.c_rect.y1
@y1.setter
def y1(self, y1):
self.c_rect.y1 = y1
from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules=cythonize("rect.pyx"))
...@@ -11,7 +11,7 @@ Overview ...@@ -11,7 +11,7 @@ Overview
Cython has native support for most of the C++ language. Specifically: Cython has native support for most of the C++ language. Specifically:
* C++ objects can now be dynamically allocated with ``new`` and ``del`` keywords. * C++ objects can be dynamically allocated with ``new`` and ``del`` keywords.
* C++ objects can be stack-allocated. * C++ objects can be stack-allocated.
* C++ classes can be declared with the new keyword ``cppclass``. * C++ classes can be declared with the new keyword ``cppclass``.
* Templated classes and functions are supported. * Templated classes and functions are supported.
...@@ -22,15 +22,14 @@ Procedure Overview ...@@ -22,15 +22,14 @@ Procedure Overview
------------------- -------------------
The general procedure for wrapping a C++ file can now be described as follows: The general procedure for wrapping a C++ file can now be described as follows:
* Specify C++ language in :file:`setup.py` script or locally in a source file. * Specify C++ language in a :file:`setup.py` script or locally in a source file.
* Create one or more .pxd files with ``cdef extern from`` blocks and * Create one or more ``.pxd`` files with ``cdef extern from`` blocks and
(if existing) the C++ namespace name. In these blocks, (if existing) the C++ namespace name. In these blocks:
* declare classes as ``cdef cppclass`` blocks * declare classes as ``cdef cppclass`` blocks
* declare public names (variables, methods and constructors) * declare public names (variables, methods and constructors)
* Write an extension modules, ``cimport`` from the .pxd file and use * ``cimport`` them in one or more extension modules (``.pyx`` files).
the declarations.
A simple Tutorial A simple Tutorial
================== ==================
...@@ -42,127 +41,18 @@ Here is a tiny C++ API which we will use as an example throughout this ...@@ -42,127 +41,18 @@ Here is a tiny C++ API which we will use as an example throughout this
document. Let's assume it will be in a header file called document. Let's assume it will be in a header file called
:file:`Rectangle.h`: :file:`Rectangle.h`:
.. sourcecode:: c++ .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/Rectangle.h
:language: c++
namespace shapes { :tab-width: 4
class Rectangle {
public:
int x0, y0, x1, y1;
Rectangle();
Rectangle(int x0, int y0, int x1, int y1);
~Rectangle();
int getArea();
void getSize(int* width, int* height);
void move(int dx, int dy);
};
}
and the implementation in the file called :file:`Rectangle.cpp`: and the implementation in the file called :file:`Rectangle.cpp`:
.. sourcecode:: c++ .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/Rectangle.cpp
:language: c++
#include "Rectangle.h" :tab-width: 4
namespace shapes {
Rectangle::Rectangle() { }
Rectangle::Rectangle(int X0, int Y0, int X1, int Y1) {
x0 = X0;
y0 = Y0;
x1 = X1;
y1 = Y1;
}
Rectangle::~Rectangle() { }
int Rectangle::getArea() {
return (x1 - x0) * (y1 - y0);
}
void Rectangle::getSize(int *width, int *height) {
(*width) = x1 - x0;
(*height) = y1 - y0;
}
void Rectangle::move(int dx, int dy) {
x0 += dx;
y0 += dy;
x1 += dx;
y1 += dy;
}
}
This is pretty dumb, but should suffice to demonstrate the steps involved. This is pretty dumb, but should suffice to demonstrate the steps involved.
Specify C++ language in setup.py
---------------------------------
The best way to build Cython code from :file:`setup.py` scripts is the
``cythonize()`` function. To make Cython generate and compile C++ code
with distutils, you just need to pass the option ``language="c++"``::
from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules = cythonize(
"rect.pyx", # our Cython source
sources=["Rectangle.cpp"], # additional source file(s)
language="c++", # generate C++ code
))
Cython will generate and compile the :file:`rect.cpp` file (from the
:file:`rect.pyx`), then it will compile :file:`Rectangle.cpp`
(implementation of the ``Rectangle`` class) and link both objects files
together into :file:`rect.so`, which you can then import in Python using
``import rect`` (if you forget to link the :file:`Rectangle.o`, you will
get missing symbols while importing the library in Python).
Note that the ``language`` option has no effect on user provided Extension
objects that are passed into ``cythonize()``. It is only used for modules
found by file name (as in the example above).
The ``cythonize()`` function in Cython versions up to 0.21 does not
recognize the ``language`` option and it needs to be specified as an
option to an :class:`Extension` that describes your extension and that
is then handled by ``cythonize()`` as follows::
from distutils.core import setup, Extension
from Cython.Build import cythonize
setup(ext_modules = cythonize(Extension(
"rect", # the extension name
sources=["rect.pyx", "Rectangle.cpp"], # the Cython source and
# additional C++ source files
language="c++", # generate and compile C++ code
)))
The options can also be passed directly from the source file, which is
often preferable (and overrides any global option). Starting with
version 0.17, Cython also allows to pass external source files into the
``cythonize()`` command this way. Here is a simplified setup.py file::
from distutils.core import setup
from Cython.Build import cythonize
setup(
name = "rectangleapp",
ext_modules = cythonize('*.pyx'),
)
And in the .pyx source file, write this into the first comment block, before
any source code, to compile it in C++ mode and link it statically against the
:file:`Rectangle.cpp` code file::
# distutils: language = c++
# distutils: sources = Rectangle.cpp
To compile manually (e.g. using ``make``), the ``cython`` command-line
utility can be used to generate a C++ ``.cpp`` file, and then compile it
into a python extension. C++ mode for the ``cython`` command is turned
on with the ``--cplus`` option.
Declaring a C++ class interface Declaring a C++ class interface
-------------------------------- --------------------------------
...@@ -173,7 +63,9 @@ basic ``cdef extern from`` block:: ...@@ -173,7 +63,9 @@ basic ``cdef extern from`` block::
cdef extern from "Rectangle.h" namespace "shapes": cdef extern from "Rectangle.h" namespace "shapes":
This will make the C++ class def for Rectangle available. Note the namespace declaration. This will make the C++ class def for Rectangle available. Note the namespace declaration.
Namespaces are simply used to make the fully qualified name of the object, and can be nested (e.g. ``"outer::inner"``) or even refer to classes (e.g. ``"namespace::MyClass`` to declare static members on MyClass). Namespaces are simply used to make the fully qualified name of the object,
and can be nested (e.g. ``"outer::inner"``) or even refer to
classes (e.g. ``"namespace::MyClass`` to declare static members on MyClass).
Declare class with cdef cppclass Declare class with cdef cppclass
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...@@ -187,34 +79,47 @@ class name from Rectangle.h and adjust for Cython syntax, so now it becomes:: ...@@ -187,34 +79,47 @@ class name from Rectangle.h and adjust for Cython syntax, so now it becomes::
Add public attributes Add public attributes
^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^
We now need to declare the attributes and methods for use on Cython:: We now need to declare the attributes and methods for use on Cython. We put those declarations
in a file called :file:`Rectangle.pxd`. You can see it as a header file
which is readable by Cython:
cdef extern from "Rectangle.h" namespace "shapes": .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/Rectangle.pxd
cdef cppclass Rectangle:
Rectangle() except + Note that the constructor is declared as "except +". If the C++ code or
Rectangle(int, int, int, int) except +
int x0, y0, x1, y1
int getArea()
void getSize(int* width, int* height)
void move(int, int)
Note that the constructor is declared as "except +". If the C++ code or
the initial memory allocation raises an exception due to a failure, this the initial memory allocation raises an exception due to a failure, this
will let Cython safely raise an appropriate Python exception instead will let Cython safely raise an appropriate Python exception instead
(see below). Without this declaration, C++ exceptions originating from (see below). Without this declaration, C++ exceptions originating from
the constructor will not be handled by Cython. the constructor will not be handled by Cython.
We use the lines::
cdef extern from "Rectangle.cpp":
pass
to include the C++ code from :file:`Rectangle.cpp`. It is also possible to specify to
distutils that :file:`Rectangle.cpp` is a source. To do that, you can add this directive at the
top of the ``.pyx`` (not ``.pxd``) file::
# distutils: sources = Rectangle.cpp
Note that when you use ``cdef extern from``, the path that you specify is relative to the current
file, but if you use the distutils directive, the path is relative to the
:file:`setup.py`. If you want to discover the path of the sources when
running the :file:`setup.py`, you can use the ``aliases`` argument
of the :func:`cythonize` function.
Declare a var with the wrapped C++ class Declare a var with the wrapped C++ class
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Now, we use cdef to declare a var of the class with the C++ ``new`` statement:: Now, we use cdef to declare a var of the class with the C++ ``new`` statement:
rec_ptr = new Rectangle(1, 2, 3, 4) .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/cython_usage.pyx
try:
recArea = rec_ptr.getArea() The line::
...
finally: # distutils: language = c++
del rec_ptr # delete heap allocated object
is to indicate to Cython that this ``.pyx`` file has to be compiled to C++.
It's also possible to declare a stack allocated object, as long as it has It's also possible to declare a stack allocated object, as long as it has
a "default" constructor:: a "default" constructor::
...@@ -239,36 +144,16 @@ external Python code (which is our whole point). ...@@ -239,36 +144,16 @@ external Python code (which is our whole point).
Common programming practice is to create a Cython extension type which Common programming practice is to create a Cython extension type which
holds a C++ instance as an attribute and create a bunch of holds a C++ instance as an attribute and create a bunch of
forwarding methods. So we can implement the Python extension type as:: forwarding methods. So we can implement the Python extension type as:
cdef class PyRectangle: .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/rect.pyx
cdef Rectangle c_rect # hold a C++ instance which we're wrapping
def __cinit__(self, int x0, int y0, int x1, int y1):
self.c_rect = Rectangle(x0, y0, x1, y1)
def get_area(self):
return self.c_rect.getArea()
def get_size(self):
cdef int width, height
self.c_rect.getSize(&width, &height)
return width, height
def move(self, dx, dy):
self.c_rect.move(dx, dy)
And there we have it. From a Python perspective, this extension type will look And there we have it. From a Python perspective, this extension type will look
and feel just like a natively defined Rectangle class. and feel just like a natively defined Rectangle class.
It should be noted that It should be noted that if you want to give
attribute access, you could just implement some properties:
If you want to give
attribute access, you could just implement some properties::
@property
def x0(self):
return self.c_rect.x0
@x0.setter .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/rect_with_attributes.pyx
def x0(self):
def __set__(self, x0): self.c_rect.x0 = x0
...
Cython initializes C++ class attributes of a cdef class using the nullary constructor. Cython initializes C++ class attributes of a cdef class using the nullary constructor.
If the class you're wrapping does not have a nullary constructor, you must store a pointer If the class you're wrapping does not have a nullary constructor, you must store a pointer
...@@ -277,19 +162,31 @@ A convenient and safe place to do so is in the `__cinit__` and `__dealloc__` met ...@@ -277,19 +162,31 @@ A convenient and safe place to do so is in the `__cinit__` and `__dealloc__` met
which are guaranteed to be called exactly once upon creation and deletion of the Python which are guaranteed to be called exactly once upon creation and deletion of the Python
instance. instance.
:: .. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/rect_ptr.pyx
cdef class PyRectangle:
cdef Rectangle* c_rect # hold a pointer to the C++ instance which we're wrapping
def __cinit__(self, int x0, int y0, int x1, int y1):
self.c_rect = new Rectangle(x0, y0, x1, y1)
def __dealloc__(self):
del self.c_rect
...
If you prefer giving the same name to the wrapper as the C++ class, see the If you prefer giving the same name to the wrapper as the C++ class, see the
section on :ref:`resolving naming conflicts <resolve-conflicts>`. section on :ref:`resolving naming conflicts <resolve-conflicts>`.
Compilation and Importing
=========================
To compile a Cython module, it is necessary to have a :file:`setup.py` file:
.. literalinclude:: ../../examples/userguide/wrapping_CPlusPlus/setup.py
Run ``$ python setup.py build_ext --inplace``
To test it, open the Python interpreter::
>>> import rect
>>> x0, y0, x1, y1 = 1, 2, 3, 4
>>> rect_obj = rect.PyRectangle(x0, y0, x1, y1)
>>> print(dir(rect_obj))
['__class__', '__delattr__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__',
'__getattribute__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__',
'__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__',
'__setstate__', '__sizeof__', '__str__', '__subclasshook__', 'get_area', 'get_size', 'move']
Advanced C++ features Advanced C++ features
====================== ======================
...@@ -378,7 +275,7 @@ Note that the nested class is declared with a ``cppclass`` but without a ``cdef` ...@@ -378,7 +275,7 @@ Note that the nested class is declared with a ``cppclass`` but without a ``cdef`
C++ operators not compatible with Python syntax C++ operators not compatible with Python syntax
------------------------------------------------ ------------------------------------------------
Cython try to keep a syntax as close as possible to standard Python. Cython tries to keep its syntax as close as possible to standard Python.
Because of this, certain C++ operators, like the preincrement ``++foo`` Because of this, certain C++ operators, like the preincrement ``++foo``
or the dereferencing operator ``*foo`` cannot be used with the same or the dereferencing operator ``*foo`` cannot be used with the same
syntax as C++. Cython provides functions replacing these operators in syntax as C++. Cython provides functions replacing these operators in
...@@ -683,6 +580,79 @@ An additional C++11-only RTTI-related class, ``std::type_index``, is available ...@@ -683,6 +580,79 @@ An additional C++11-only RTTI-related class, ``std::type_index``, is available
in ``libcpp.typeindex``. in ``libcpp.typeindex``.
Specify C++ language in setup.py
================================
Instead of specifying the language and the sources in the source files, it is
possible to declare them in the :file:`setup.py` file::
from distutils.core import setup
from Cython.Build import cythonize
setup(ext_modules = cythonize(
"rect.pyx", # our Cython source
sources=["Rectangle.cpp"], # additional source file(s)
language="c++", # generate C++ code
))
Cython will generate and compile the :file:`rect.cpp` file (from
:file:`rect.pyx`), then it will compile :file:`Rectangle.cpp`
(implementation of the ``Rectangle`` class) and link both object files
together into :file:`rect.so`, which you can then import in Python using
``import rect`` (if you forget to link the :file:`Rectangle.o`, you will
get missing symbols while importing the library in Python).
Note that the ``language`` option has no effect on user provided Extension
objects that are passed into ``cythonize()``. It is only used for modules
found by file name (as in the example above).
The ``cythonize()`` function in Cython versions up to 0.21 does not
recognize the ``language`` option and it needs to be specified as an
option to an :class:`Extension` that describes your extension and that
is then handled by ``cythonize()`` as follows::
from distutils.core import setup, Extension
from Cython.Build import cythonize
setup(ext_modules = cythonize(Extension(
"rect", # the extension name
sources=["rect.pyx", "Rectangle.cpp"], # the Cython source and
# additional C++ source files
language="c++", # generate and compile C++ code
)))
The options can also be passed directly from the source file, which is
often preferable (and overrides any global option). Starting with
version 0.17, Cython also allows passing external source files into the
``cythonize()`` command this way. Here is a simplified setup.py file::
from distutils.core import setup
from Cython.Build import cythonize
setup(
name = "rectangleapp",
ext_modules = cythonize('*.pyx'),
)
And in the .pyx source file, write this into the first comment block, before
any source code, to compile it in C++ mode and link it statically against the
:file:`Rectangle.cpp` code file::
# distutils: language = c++
# distutils: sources = Rectangle.cpp
.. note::
When using distutils directives, the paths are relative to the working
directory of the distutils run (which is usually the
project root where the :file:`setup.py` resides).
To compile manually (e.g. using ``make``), the ``cython`` command-line
utility can be used to generate a C++ ``.cpp`` file, and then compile it
into a python extension. C++ mode for the ``cython`` command is turned
on with the ``--cplus`` option.
Caveats and Limitations Caveats and Limitations
======================== ========================
......
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