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Kirill Smelkov
cython
Commits
c54ffc3d
Commit
c54ffc3d
authored
Nov 24, 2017
by
Robert Bradshaw
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GitHub
Nov 24, 2017
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Merge pull request #2021 from jdemeyer/language_basics_doc
Improve typing doc
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20ff6c2a
163fed8d
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docs/src/reference/language_basics.rst
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c54ffc3d
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@@ -111,6 +111,9 @@ However with Cython it is possible to gain significant speed-ups through the use
.. note:: Typing is not a necessity
Providing static typing to parameters and variables is convenience to speed up your code, but it is not a necessity. Optimize where and when needed.
In fact, typing can *slow down* your code in the case where the
typing does not allow optimizations but where Cython still needs to
check that the type of some object matches the declared type.
The cdef Statement
...
...
@@ -133,8 +136,10 @@ The ``cdef`` statement is used to make C level declarations for:
int age
float volume
..note Structs can be declared as ``cdef packed struct``, which has
the same effect as the C directive ``#pragma pack(1)``.
.. note::
Structs can be declared as ``cdef packed struct``, which has
the same effect as the C directive ``#pragma pack(1)``.
:Unions:
...
...
@@ -208,11 +213,35 @@ A series of declarations can grouped into a ``cdef`` block::
ctypedef int *IntPtr
.. _typing_types:
C types and Python classes
==========================
There are three kinds of types that you can declare:
1. C types, like ``cdef double x = 1.0``.
In the C code that Cython generates, this will create a C variable
of type ``double``. So working with this variable is exactly as fast
as working with a C variable of that type.
2. Builtin Python classes like ``cdef list L = []``.
This requires an *exact* match of the class, it does not allow
subclasses. This allows Cython to optimize code by accessing
internals of the builtin class.
Cython uses a C variable of type ``PyObject*``.
3. Extension types (declared with ``cdef class``).
This does allow subclasses. This typing is mostly used to access
``cdef`` methods and attributes of the extension type.
The C code uses a variable which is a pointer to a structure of the
specific type, something like ``struct MyExtensionTypeObject*``.
Parameters
==========
* Both C and Python **function** types can be declared to have parameters
C data types
.
* Both C and Python **function** types can be declared to have parameters
with a given C data type
.
* Use normal C declaration syntax::
def spam(int i, char *s):
...
...
@@ -232,19 +261,21 @@ Parameters
cdef spamobjs(x, y):
...
.. note::
--
.. note::
This is different
then C language behavior, where it is an int
by default.
This is different
from the C language behavior, where it is an ``int``
by default.
* Python object types have reference counting performed according to the standard Python
C-API rules:
* Python object types have reference counting performed according to the standard Python
/
C-API rules:
* Borrowed references are taken as parameters
* New references are returned
.. todo::
link or label here the one ref count caveat for NumPy.
.. warning::
This only applies to Cython code. Other Python packages which
are implemented in C like NumPy may not follow these conventions.
* The name ``object`` can be used to explicitly declare something as a Python Object.
...
...
@@ -260,61 +291,6 @@ Parameters
cdef object foo(object int):
...
.. todo::
Do a see also here ..??
Optional Arguments
------------------
* Are supported for ``cdef`` and ``cpdef`` functions
* There are differences though whether you declare them in a ``.pyx`` file or a ``.pxd`` file:
* When in a ``.pyx`` file, the signature is the same as it is in Python itself::
cdef class A:
cdef foo(self):
print "A"
cdef class B(A)
cdef foo(self, x=None)
print "B", x
cdef class C(B):
cpdef foo(self, x=True, int k=3)
print "C", x, k
* When in a ``.pxd`` file, the signature is different like this example: ``cdef foo(x=*)``::
cdef class A:
cdef foo(self)
cdef class B(A)
cdef foo(self, x=*)
cdef class C(B):
cpdef foo(self, x=*, int k=*)
* The number of arguments may increase when subclassing, but the arg types and order must be the same.
* There may be a slight performance penalty when the optional arg is overridden with one that does not have default values.
Keyword-only Arguments
=======================
* As in Python 3, ``def`` functions can have keyword-only arguments listed after a ``"*"`` parameter and before a ``"**"`` parameter if any::
def f(a, b, *args, c, d = 42, e, **kwds):
...
* Shown above, the ``c``, ``d`` and ``e`` arguments can not be passed as positional arguments and must be passed as keyword arguments.
* Furthermore, ``c`` and ``e`` are required keyword arguments since they do not have a default value.
* If the parameter name after the ``"*"`` is omitted, the function will not accept any extra positional arguments::
def g(a, b, *, c, d):
...
* Shown above, the signature takes exactly two positional parameters and has two required keyword parameters
Automatic Type Conversion
=========================
...
...
@@ -373,39 +349,35 @@ Automatic Type Conversion
Type Casting
=============
* The syntax used in type casting are ``"<"`` and ``">"``
.. note::
The syntax is different from C convention
============
::
* The syntax used in type casting uses ``"<"`` and ``">"``, for example
::
cdef char *p, float *q
p = <char*>q
cdef char *p
cdef float *q
p = <char*>q
* If one of the types is a
python object for ``<type>x``, Cython will try and
do a coercion.
* If one of the types is a
Python object for ``<type>x``, Cython will try to
do a coercion.
.. note:: Cython will not stop a casting where there is no conversion, but it will emit a warning.
* If the address is what is wanted, cast to a ``void*`` first.
Type Checking
-------------
* A cast like ``<MyExtensionType>x`` will cast x to type ``MyExtensionType`` without type checking at all.
* To get the address of some Python object, use a cast to a pointer type
like ``<void*>`` or ``<PyObject*>``.
* T
o have a cast type checked, use the syntax like: ``<MyExtensionType?>x
``.
* T
he precedence of ``<...>`` is such that ``<type>a.b.c`` is interpreted as ``<type>(a.b.c)
``.
* In this case, Cython will throw an error if ``"x"`` is not a (subclass) of ``MyExtensionType``
Checked Type Casts
------------------
* Automatic type checking for extension types can be obtained whenever ``isinstance()`` is used as the second parameter
* A cast like ``<MyExtensionType>x`` will cast x to the class
``MyExtensionType`` without any checking at all.
* To have a cast checked, use the syntax like: ``<MyExtensionType?>x``.
In this case, Cython will throw an error if ``x`` is not an instance
of ``MyExtensionType``.
As explained in :ref:`typing_types`, this requires the exact class
for builtin classes, but a subclass for extension types.
Python Objects
==============
==========================
Statements and Expressions
...
...
@@ -667,6 +639,57 @@ corresponding to the three-argument form of the Python builtin :func:`getattr()`
Cython still supports this function, but the usage is deprecated in favour of
the normal builtin, which Cython can optimise in both forms.
Optional Arguments
==================
* Are supported for ``cdef`` and ``cpdef`` functions
* There are differences though whether you declare them in a ``.pyx`` file or a ``.pxd`` file:
* When in a ``.pyx`` file, the signature is the same as it is in Python itself::
cdef class A:
cdef foo(self):
print "A"
cdef class B(A)
cdef foo(self, x=None)
print "B", x
cdef class C(B):
cpdef foo(self, x=True, int k=3)
print "C", x, k
* When in a ``.pxd`` file, the signature is different like this example: ``cdef foo(x=*)``::
cdef class A:
cdef foo(self)
cdef class B(A)
cdef foo(self, x=*)
cdef class C(B):
cpdef foo(self, x=*, int k=*)
* The number of arguments may increase when subclassing, but the arg types and order must be the same.
* There may be a slight performance penalty when the optional arg is overridden with one that does not have default values.
Keyword-only Arguments
=======================
* As in Python 3, ``def`` functions can have keyword-only arguments listed after a ``"*"`` parameter and before a ``"**"`` parameter if any::
def f(a, b, *args, c, d = 42, e, **kwds):
...
* Shown above, the ``c``, ``d`` and ``e`` arguments can not be passed as positional arguments and must be passed as keyword arguments.
* Furthermore, ``c`` and ``e`` are required keyword arguments since they do not have a default value.
* If the parameter name after the ``"*"`` is omitted, the function will not accept any extra positional arguments::
def g(a, b, *, c, d):
...
* Shown above, the signature takes exactly two positional parameters and has two required keyword parameters
============================
Error and Exception Handling
...
...
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