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Gwenaël Samain
cython
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d1d7d48d
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d1d7d48d
authored
May 31, 2014
by
Stefan Behnel
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clean up and clarify new pure mode docs
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docs/src/tutorial/pure.rst
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d1d7d48d
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@@ -4,149 +4,168 @@
Pure Python Mode
================
Sometimes one may want to speed up Python code without losing the possibility to run
it with the Python interpreter. While pure Python scripts can be compiled with Cython,
it usually results in a 20%-50% speed gain only.
In some cases, it's desirable to speed up Python code without losing the
ability to run it with the Python interpreter. While pure Python scripts
can be compiled with Cython, it usually results only in a speed gain of
about 20%-50%.
To go beyond that, Cython provides language constructs to add static typing
and cythonic functionalities to a Python module to make it run much faster
when compiled, while still allowing it to be interpreted.
This is accomplished either via an augmenting :file:`.pxd` file, or
via special functions and decorators available after importing ``cython``.
via special functions and decorators available after importing the magic
``cython`` module.
Although it is not typically recommended over writing straight Cython code
to a :file:`.pyx` file, one can have specific reasons to do so -
easier testing, collaboration with pure Python developers, etc.
In pure mode, you are more or less restricted to code that can be expressed
(or at least emulated) in Python, plus static type declarations. Anything
beyond that can only be done in .pyx files with extended language syntax,
because it depends on compilation
.
in a :file:`.pyx` file, there are legitimate reasons to do this - easier
testing, collaboration with pure Python developers, etc. In pure mode, you
are more or less restricted to code that can be expressed (or at least
emulated) in Python, plus static type declarations. Anything beyond that
can only be done in .pyx files with extended language syntax, because it
depends on features of the Cython compiler
.
Augmenting .pxd
---------------
Using an augmenting :file:`.pxd` allows to let the original :file:`.py` file
completely untouched.
On the other hand, one needs to maintain both
the :file:`.pxd` and the :file:`.py` in parallel
.
completely untouched.
On the other hand, one needs to maintain both the
:file:`.pxd` and the :file:`.py` to keep them in sync
.
Note that :file:`.pxd` files are used differently when they come together with
:file:`.py` than with :file:`.pyx` files (see :doc:`pxd_files`). Declarations
in a :file:`.pyx` must correspond to those of the :file:`.pxd`, whilst
declarations in a :file:`.py` file can be overridden/augmented
by the more
While declarations in a :file:`.pyx` file must correspond exactly with those
of a :file:`.pxd` file with the same name (and any contradiction results in
a compile time error, see :doc:`pxd_files`), the untyped definitions in a
:file:`.py` file can be overridden and augmented with static types
by the more
specific ones present in a :file:`.pxd`.
If a :file:`.pxd` file is found with the same name as
a :file:`.py` file,
it will be searched for :keyword:`cdef` classes and :keyword:`cdef`/:keyword:`cpdef`
functions and methods. It will then convert the corresponding
classes/functions/methods in the :file:`.py` file to be of the correct type.
Thus if one has a file :file:`A.py`::
If a :file:`.pxd` file is found with the same name as
the :file:`.py` file
being compiled, it will be searched for :keyword:`cdef` classes and
:keyword:`cdef`/:keyword:`cpdef` functions and methods. The compiler will
then convert the corresponding classes/functions/methods in the :file:`.py`
file to be of the declared type.
Thus if one has a file :file:`A.py`::
def myfunction(x, y=2):
a = x-y
return a + x * y
def _helper(a):
return a + 1
class A:
def __init__(self, b=0):
self.a = 3
self.b = b
def foo(self, x):
print x +
1.0
print x +
_helper(1.0)
and adds :file:`A.pxd`::
cpdef int myfunction(int x,int y)
cpdef int myfunction(int x, int y)
cdef double _helper(double a)
cdef class A:
cdef public int a,b
cpdef foo(self, double x)
then
at compilation time :file:`A.py` would be interpreted a
s::
then
Cython will compile the :file:`A.py` as if it had been written as follow
s::
cpdef int myfunction(int x,int y):
cpdef int myfunction(int x,
int y):
a = x-y
return a + x * y
cdef double _helper(double a):
return a + 1
cdef class A:
cdef public int a,b
def __init__(self, b=0):
self.a = 3
self.b = b
cpdef foo(self, double x):
print x + 1.0
while still letting the possibility of running the Python interpreter
as before with `python A.py`.
cpdef foo(self, double x):
print x + _helper(1.0)
Notice how in order to provide the Python wrappers to the definitions
in the :file:`.pxd`, that is, to be accessible from Python,
* function signature declarations must be declared as `cpdef`::
* Python visible function signatures must be declared as `cpdef`::
cpdef int myfunction(int x, int y)
cpdef int myfunction(int x,int y)
* C function signatures of internal functions can be declared as `cdef`::
* function definitions must be declared as `cpdef inline`::
cdef double _helper(double a)
cpdef inline int myfunction(int x,int y):
pass
* `cdef` classes (extension types) are declared as `cdef class`;
* `cdef` classes are declared as `cdef class`;
* `cdef` class attributes must be declared as `cdef public` if read/write
Python access is needed, `cdef readonly` for read-only Python access, or
plain `cdef` for internal C level attributes;
* `cdef` class attributes must be declared as `cdef public`;
* `cdef` class methods must be declared as `cpdef` for Python visible
methods or `cdef` for internal C methods.
* `cdef` class methods must be declared as `cpdef`.
In the example above, the type of the local variable `a` in `myfunction()`
is not fixed and will thus be a Python object. To statically type it, one
can use Cython's ``@cython.locals`` decorator (see :ref:`magic_attributes`,
and :ref:`magic_attributes_pxd`).
Also in the example above, one cannot fix the type of the local variable `a
`
used within `myfunction` with such definitions. For that purpose
one can use ``cython``'s ``@locals`` decorator (see :ref:`magic_attributes`, and
:ref:`magic_attributes_pxd`)
.
Normal Python (:keyword:`def`) functions cannot be declared in :file:`.pxd
`
files. It is therefore currently impossible to override the types of plain
Python functions in :file:`.pxd` files, e.g. to override types of their local
variables. In most cases, declaring them as `cpdef` will work as expected
.
Normal Python (:keyword:`def`) functions cannot be declared in
:file:`.pxd` files, so it is currently impossible to override the types of
Python functions in :file:`.pxd` files if they use ``*args`` or ``**kwargs``
in their signature, for instance.
.. _magic_attributes:
Magic Attributes
----------------
Special decorators are available
using the
``cython`` module that can
Special decorators are available
from the magic
``cython`` module that can
be used to add static typing within the Python file, while being ignored
by the interpreter.
This option adds the ``cython`` dependency to the original code, but does
not require to maintain a supplementary file.
This option adds the ``cython`` module dependency to the original code, but
does not require to maintain a supplementary :file:`.pxd` file. Cython
provides a fake version of this module as `Cython.Shadow`, which is available
as `cython.py` when Cython is installed, but can be copied to be used by other
modules when Cython is not installed.
"Compiled" switch
^^^^^^^^^^^^^^^^^
* ``compiled`` is a special variable which is set to ``True`` when the compiler
runs, and ``False`` in the interpreter. Thus the code::
runs, and ``False`` in the interpreter. Thus, the code
::
if cython.compiled:
print("Yep, I'm compiled.")
else:
print("Just a lowly interpreted script.")
will behave differently depending on whether or not the code is loaded as a
compiled :file:`.so` file or a plain :file:`.py` file.
will behave differently depending on whether or not the code is executed as a
compiled extension (:file:`.so`/:file:`.pyd`) module or a plain :file:`.py`
file.
Static typing
^^^^^^^^^^^^^
* ``cython.declare`` declares a typed variable in the current scope, which can be
used in
place of the :samp:`cdef type var [= value]` construct. This has two forms, the
first as an assignment (useful as it creates a declaration in
interpreted
mode as well)::
* ``cython.declare`` declares a typed variable in the current scope, which can be
used in place of the :samp:`cdef type var [= value]` construct. This has two forms,
the first as an assignment (useful as it creates a declaration in interpreted
mode as well)::
x = cython.declare(cython.int) # cdef int x
y = cython.declare(cython.double, 0.57721) # cdef double y = 0.57721
x = cython.declare(cython.int)
# cdef int x
y = cython.declare(cython.double, 0.57721)
# cdef double y = 0.57721
and the second mode as a simple function call::
cython.declare(x=cython.int, y=cython.double) # cdef int x; cdef double y
cython.declare(x=cython.int, y=cython.double)
# cdef int x; cdef double y
It can also be used to type class constructors::
...
...
@@ -156,17 +175,14 @@ Static typing
self.a = 3
self.b = b
* ``@cython.locals`` is a decorator that is used to specify the types of local
variables
in the function body (including any or all of the argument type
s)::
* ``@cython.locals`` is a decorator that is used to specify the types of local
variables in the function body (including the argument
s)::
@cython.locals(a=cython.double, b=cython.double, n=cython.p_double)
def foo(a, b, x, y):
n = a*b
...
It cannot be used to type class constructor attributes. See ``cython.declare``
instead to do so.
* ``@cython.returns(<type>)`` specifies the function's return type.
* Starting with Cython 0.21, Python signature annotations can be used to
...
...
@@ -189,7 +205,7 @@ as well as their unsigned versions ``uchar``, ``ushort``, ``uint``, ``ulong``,
``ulonglong``. The special ``bint`` type is used for C boolean values and
``Py_ssize_t`` for (signed) sizes of Python containers.
For each type, there are pointer types ``p_int``, ``pp_int``,
. .
., up to
For each type, there are pointer types ``p_int``, ``pp_int``,
etc
., up to
three levels deep in interpreted mode, and infinitely deep in compiled mode.
Further pointer types can be constructed with ``cython.pointer(cython.int)``,
and arrays as ``cython.int[10]``. A limited attempt is made to emulate these
...
...
@@ -203,15 +219,16 @@ and ``bint`` respectively. Also, the Python builtin types ``list``, ``dict``,
Extension types and cdef functions
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
* ``@cython.cclass`` creates a ``cdef class``.
*
The class decorator
``@cython.cclass`` creates a ``cdef class``.
* ``@cython.cfunc`` creates a :keyword:`cdef` function.
*
The function/method decorator
``@cython.cfunc`` creates a :keyword:`cdef` function.
* ``@cython.ccall`` creates a :keyword:`cpdef` function, i.e. one that Cython code
can call at the C level.
* ``@cython.locals`` declares local variables (see above). It can also be used to
declare types for the local variables that are used in the signature.
declare types for arguments, i.e. the local variables that are used in the
signature.
* ``@cython.inline`` is the equivalent of the C ``inline`` modifier.
...
...
@@ -223,6 +240,7 @@ Here is an example of a :keyword:`cdef` function::
def c_compare(a,b):
return a == b
Further Cython functions and declarations
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
...
...
@@ -231,8 +249,10 @@ Further Cython functions and declarations
cython.declare(x=cython.int, x_ptr=cython.p_int)
x_ptr = cython.address(x)
* ``sizeof`` emulates the `sizeof` operator. It can take both types and
expressions.::
* ``sizeof`` emulates the `sizeof` operator. It can take both types and
expressions.
::
cython.declare(n=cython.longlong)
print cython.sizeof(cython.longlong)
...
...
@@ -254,16 +274,17 @@ Further Cython functions and declarations
* ``union`` creates union types with exactly the same syntax as ``struct``.
* ``typedef``
creates a new typ
e::
* ``typedef``
defines a type under a given nam
e::
T = cython.typedef(cython.p_int) # ctypedef int* T
.. _magic_attributes_pxd:
Magic Attributes within the .pxd
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The special
Cython
module can also be imported and used within the augmenting
The special
`cython`
module can also be imported and used within the augmenting
:file:`.pxd` file. For example, the following Python file :file:`dostuff.py`::
def dostuff(n):
...
...
@@ -279,6 +300,5 @@ can be augmented with the following :file:`.pxd` file :file:`dostuff.pxd`::
@cython.locals(t = cython.int, i = cython.int)
cpdef int dostuff(int n)
Besides the ``cython.locals`` decorator, the :func:`cython.declare` function can also be
used to add types to global variables in the augmenting :file:`.pxd` file.
The :func:`cython.declare()` function can be used to specify types for global
variables in the augmenting :file:`.pxd` file.
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