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<h1>
<hr width="100%">Special Methods of Extension Types
<hr width="100%"></h1>
This page describes the special methods currently supported by Pyrex extension
types. A complete list of all the special methods appears in the table at
the bottom. Some of these methods behave differently from their Python counterparts
or have no direct Python counterparts, and require special mention.
<p><span style="font-weight: bold;">Note:</span><i> Everything said on this page applies only to </i><span style="font-weight: bold;">extension</span><i style="font-weight: bold;">
</i><span style="font-weight: bold;">types</span><i>, defined with the </i><span style="font-weight: bold; font-family: monospace;">cdef</span> <span style="font-weight: bold; font-family: monospace;">class</span><i> statement. It doesn't apply
to classes defined with the Python </i><span style="font-family: monospace;">class</span> <i>statement, where the normal
Python rules apply.</i> </p>
<h2><small>Declaration</small></h2>
Special methods of extension types must be declared with <span style="font-family: monospace; font-weight: bold;">def</span>, <span style="font-style: italic;">not</span> <span style="font-family: monospace;">cdef</span>.<br>
<h2><font size="+1">Docstrings</font></h2>
Currently, docstrings are not fully supported in special methods of extension
types. You can place a docstring in the source to serve as a comment, but
it won't show up in the corresponding <span style="font-family: monospace;">__doc__</span> attribute at run time. (This
is a Python limitation -- there's nowhere in the PyTypeObject data structure
to put such docstrings.)
<h2> <font size="+1">Initialisation methods: <tt>__cinit__</tt> and <tt>__init__</tt></font></h2>
There are two methods concerned with initialising the object<tt>.</tt>
<p>The <b><tt>__cinit__</tt></b> method is where you should perform basic C-level
initialisation of the object, including allocation of any C data structures
that your object will own. You need to be careful what you do in the __cinit__
method, because the object may not yet be a valid Python object when it is
called. Therefore, you must not invoke any Python operations which might touch
the object; in particular, do not try to call any of its methods. </p>
<p>By the time your <tt>__cinit__</tt> method is called, memory has been allocated for the object
and any C attributes it has have been initialised to 0 or null. (Any Python
attributes have also been initialised to <tt>None</tt>, but you probably shouldn't
rely on that.) Your <tt>__cinit__</tt> method is guaranteed to be called exactly
once.<br>
<br>
If your extension type has a base type, the <tt>__cinit__</tt> method of the
base type is automatically called <i>before</i> your <tt>__cinit__</tt> method
is called; you cannot explicitly call the inherited <tt>__cinit__</tt> method.
If you need to pass a modified argument list to the base type, you will have
to do the relevant part of the initialisation in the <tt>__init__</tt> method
instead (where the normal rules for calling inherited methods apply).<br>
</p>
<p>Any initialisation which cannot safely be done in the <tt>__cinit__</tt>
method should be done in the <b><tt>__init__</tt></b> method. By the time
<tt>__init__</tt> is called, the object is a fully valid Python object and
all operations are safe. Under some circumstances it is possible for <tt>__init__</tt>
to be called more than once or not to be called at all, so your other methods
should be designed to be robust in such situations. </p>
<p>Any arguments passed to the constructor will be passed
to both the <tt>__cinit__</tt> method and the <tt>__init__</tt> method.
If you anticipate subclassing your extension type in Python, you may find
it useful to give the <tt>__cinit__</tt> method * and ** arguments so that
it can accept and ignore extra arguments. Otherwise, any Python subclass
which has an <tt>__init__</tt> with a different signature will have to override <tt>__new__</tt> as well as <tt>__init__</tt>, which the writer of a Python
class wouldn't expect to have to do. </p>
<h2> <font size="+1">Finalization method: <tt>__dealloc__</tt><tt></tt></font></h2>
The counterpart to the <tt>__cinit__</tt> method is the <b><tt>__dealloc__</tt></b>
method, which should perform the inverse of the <tt>__cinit__</tt> method.
Any C data structures that you allocated in your <tt>__cinit__</tt> method
should be freed in your <tt>__dealloc__</tt> method.
<p>You need to be careful what you do in a <tt>__dealloc__</tt> method. By
the time your <tt>__dealloc__</tt> method is called, the object may already
have been partially destroyed and may not be in a valid state as far as Python
is concerned, so you should avoid invoking any Python operations which might
touch the object. In particular, don't call any other methods of the object
or do anything which might cause the object to be resurrected. It's best if
you stick to just deallocating C data. </p>
<p>You don't need to worry about deallocating Python attributes of your object,
because that will be done for you by Pyrex after your <tt>__dealloc__</tt>
method returns.<br>
<br>
<b>Note:</b> There is no <tt>__del__</tt> method for extension types.<br>
</p>
<h2><font size="+1">Arithmetic methods</font></h2>
Arithmetic operator methods, such as <tt>__add__</tt>, behave differently
from their Python counterparts. There are no separate "reversed" versions
of these methods (<tt>__radd__</tt>, etc.) Instead, if the first operand
cannot perform the operation, the <i>same</i> method of the second operand
is called, with the operands in the <i>same order</i>.
<p>This means that you can't rely on the first parameter of these methods
being "self", and you should test the types of <span style="font-weight: bold;">both</span> operands before deciding
what to do. If you can't handle the combination of types you've been given,
you should return <tt>NotImplemented</tt>. </p>
<p>This also applies to the in-place arithmetic method <tt>__ipow__</tt>.
It doesn't apply to any of the <i>other</i> in-place methods (<tt>__iadd__</tt>,
etc.) which always take self as the first argument. </p><h2><font size="+1">Rich comparisons</font></h2>
There are no separate methods for the individual rich comparison operations
(<tt>__eq__</tt>, <tt>__le__</tt>, etc.) Instead there is a single method
<tt>__richcmp__</tt> which takes an integer indicating which operation is
to be performed, as follows:
<ul>
<ul>
<table nosave="" border="0" cellpadding="5" cellspacing="0">
<tbody>
<tr nosave="">
<td nosave="" bgcolor="#ffcc33" width="30">
<div align="right"><</div>
</td>
<td nosave="" bgcolor="#66ffff" width="30">0</td>
<td><br>
</td>
<td nosave="" bgcolor="#ffcc33" width="30">
<div align="right">==</div>
</td>
<td nosave="" bgcolor="#66ffff" width="30">2</td>
<td><br>
</td>
<td nosave="" bgcolor="#ffcc33" width="30">
<div align="right">></div>
</td>
<td nosave="" bgcolor="#66ffff" width="30">4</td>
</tr>
<tr nosave="">
<td nosave="" bgcolor="#ffcc33">
<div align="right"><=</div>
</td>
<td nosave="" bgcolor="#66ffff">1</td>
<td><br>
</td>
<td nosave="" bgcolor="#ffcc33">
<div align="right">!=</div>
</td>
<td nosave="" bgcolor="#66ffff">3</td>
<td><br>
</td>
<td nosave="" bgcolor="#ffcc33">
<div align="right">>=</div>
</td>
<td nosave="" bgcolor="#66ffff">5</td>
</tr>
</tbody>
</table>
</ul>
</ul>
<h2> <font size="+1">The __next__ method</font></h2>
Extension types wishing to implement the iterator interface should define
a method called <b><tt>__next__</tt></b>, <i>not</i> <tt>next</tt>. The Python
system will automatically supply a <tt>next</tt> method which calls your
<span style="font-family: monospace;">__next__</span>. <b>Do NOT explicitly give your type a <tt>next</tt> method</b>,
or bad things could happen.<br><h2><small>Type Testing in Special Methods <span style="color: rgb(255, 0, 0);">(New in 0.9.7)</span></small></h2>When testing the types of operands to your special methods, the obvious way might appear to be to use the <span style="font-family: monospace;">isinstance</span>
function. However, this is not completely safe, because it's possible
for a class to override what gets returned by isinstance tests on its
instances. This is not a great problem in Python code, but in Pyrex it
could be disastrous, as we are relying on knowing the C layout of the
objects we're dealing with.<br><br>Pyrex provides an alternative function, <span style="font-family: monospace; font-weight: bold;">typecheck</span>,
which corresponds to PyObject_TypeCheck in the Python/C API. This is
safe to use, as it always tests the actual C type of the object.<br><br>Similarly, there is an <span style="font-family: monospace; font-weight: bold;">issubtype</span> function, corresponding to PyType_IsSubType, as a safe alternative to <span style="font-family: monospace;">issubclass</span>.<br><br>As an example, here's how you might write an __add__ method for an extension type called MyNumber:<br><br><div style="margin-left: 40px;"><span style="font-family: monospace;">def __add__(x, y):</span><br style="font-family: monospace;"><span style="font-family: monospace;"> if typecheck(x, MyNumber):</span><br style="font-family: monospace;"><span style="font-family: monospace;"> # we are the left operand<br> if typecheck(y, MyNumber):<br> # add ourselves to another MyNumber and return result<br> if typecheck(y, int):<br> # add ourselves to an int and return result<br style="font-family: monospace;"></span><span style="font-family: monospace;"> elseif typecheck(y, MyNumber):<br> # we are the right operand<br style="font-family: monospace;"></span><span style="font-family: monospace;"> if typecheck(x, int):<br> # add an int to ourselves and return the result<br style="font-family: monospace;"></span><span style="font-family: monospace;"> # Get here if unknown combination</span><br style="font-family: monospace;"><span style="font-family: monospace;"> return NotImplemented</span><br></div>
<h2> <font size="+1">Special Method Table</font></h2>
This table lists all of the special methods together with their parameter
and return types. In the table below, a parameter name of <b>self</b> is used to indicate that the parameter has the type that the method
belongs to. Other parameters with no type specified in the table are generic Python objects.
<p>You don't have to declare your method as taking these parameter types.
If you declare different types, conversions will be performed as necessary.
<br>
<table nosave="" bgcolor="#ccffff" border="1" cellpadding="5" cellspacing="0">
<tbody>
<tr nosave="" bgcolor="#ffcc33">
<td nosave=""><b>Name</b></td>
<td><b>Parameters</b></td>
<td><b>Return type</b></td>
<td><b>Description</b></td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>General</b></td>
</tr>
<tr>
<td><tt>__cinit__</tt></td>
<td>self, ...</td>
<td> </td>
<td>Basic initialisation (no direct Python equivalent)</td>
</tr>
<tr>
<td><tt>__init__</tt></td>
<td>self, ...</td>
<td> </td>
<td>Further initialisation</td>
</tr>
<tr>
<td><tt>__dealloc__</tt></td>
<td>self</td>
<td> </td>
<td>Basic deallocation (no direct Python equivalent)</td>
</tr>
<tr>
<td><tt>__cmp__</tt></td>
<td>x, y</td>
<td>int</td>
<td>3-way comparison</td>
</tr>
<tr>
<td><tt>__richcmp__</tt></td>
<td>x, y, int op</td>
<td>object</td>
<td>Rich comparison (no direct Python equivalent)</td>
</tr>
<tr>
<td><tt>__str__</tt></td>
<td>self</td>
<td>object</td>
<td>str(self)</td>
</tr>
<tr>
<td><tt>__repr__</tt></td>
<td>self</td>
<td>object</td>
<td>repr(self)</td>
</tr>
<tr nosave="">
<td nosave=""><tt>__hash__</tt></td>
<td>self</td>
<td>int</td>
<td>Hash function</td>
</tr>
<tr>
<td><tt>__call__</tt></td>
<td>self, ...</td>
<td>object</td>
<td>self(...)</td>
</tr>
<tr>
<td><tt>__iter__</tt></td>
<td>self</td>
<td>object</td>
<td>Return iterator for sequence</td>
</tr>
<tr>
<td><tt>__getattr__</tt></td>
<td>self, name</td>
<td>object</td>
<td>Get attribute</td>
</tr>
<tr>
<td><tt>__setattr__</tt></td>
<td>self, name, val</td>
<td> </td>
<td>Set attribute</td>
</tr>
<tr>
<td><tt>__delattr__</tt></td>
<td>self, name</td>
<td> </td>
<td>Delete attribute</td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Arithmetic operators</b></td>
</tr>
<tr>
<td><tt>__add__</tt></td>
<td>x, y</td>
<td>object</td>
<td>binary + operator</td>
</tr>
<tr>
<td><tt>__sub__</tt></td>
<td>x, y</td>
<td>object</td>
<td>binary - operator</td>
</tr>
<tr>
<td><tt>__mul__</tt></td>
<td>x, y</td>
<td>object</td>
<td>* operator</td>
</tr>
<tr>
<td><tt>__div__</tt></td>
<td>x, y</td>
<td>object</td>
<td>/ operator for old-style division</td>
</tr>
<tr>
<td><tt>__floordiv__</tt></td>
<td>x, y</td>
<td>object</td>
<td>// operator</td>
</tr>
<tr>
<td><tt>__truediv__</tt></td>
<td>x, y</td>
<td>object</td>
<td>/ operator for new-style division</td>
</tr>
<tr>
<td><tt>__mod__</tt></td>
<td>x, y</td>
<td>object</td>
<td>% operator</td>
</tr>
<tr>
<td><tt>__divmod__</tt></td>
<td>x, y</td>
<td>object</td>
<td>combined div and mod</td>
</tr>
<tr>
<td><tt>__pow__</tt></td>
<td>x, y, z</td>
<td>object</td>
<td>** operator or pow(x, y, z)</td>
</tr>
<tr>
<td><tt>__neg__</tt></td>
<td>self</td>
<td>object</td>
<td>unary - operator</td>
</tr>
<tr>
<td><tt>__pos__</tt></td>
<td>self</td>
<td>object</td>
<td>unary + operator</td>
</tr>
<tr>
<td><tt>__abs__</tt></td>
<td>self</td>
<td>object</td>
<td>absolute value</td>
</tr>
<tr>
<td><tt>__nonzero__</tt></td>
<td>self</td>
<td>int</td>
<td>convert to boolean</td>
</tr>
<tr>
<td><tt>__invert__</tt></td>
<td>self</td>
<td>object</td>
<td>~ operator</td>
</tr>
<tr>
<td><tt>__lshift__</tt></td>
<td>x, y</td>
<td>object</td>
<td><< operator</td>
</tr>
<tr>
<td><tt>__rshift__</tt></td>
<td>x, y</td>
<td>object</td>
<td>>> operator</td>
</tr>
<tr>
<td><tt>__and__</tt></td>
<td>x, y</td>
<td>object</td>
<td>& operator</td>
</tr>
<tr>
<td><tt>__or__</tt></td>
<td>x, y</td>
<td>object</td>
<td>| operator</td>
</tr>
<tr>
<td><tt>__xor__</tt></td>
<td>x, y</td>
<td>object</td>
<td>^ operator</td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Numeric conversions</b></td>
</tr>
<tr>
<td><tt>__int__</tt></td>
<td>self</td>
<td>object</td>
<td>Convert to integer</td>
</tr>
<tr>
<td><tt>__long__</tt></td>
<td>self</td>
<td>object</td>
<td>Convert to long integer</td>
</tr>
<tr>
<td><tt>__float__</tt></td>
<td>self</td>
<td>object</td>
<td>Convert to float</td>
</tr>
<tr>
<td><tt>__oct__</tt></td>
<td>self</td>
<td>object</td>
<td>Convert to octal</td>
</tr>
<tr>
<td><tt>__hex__</tt></td>
<td>self</td>
<td>object</td>
<td>Convert to hexadecimal</td>
</tr>
<tr><td><span style="font-family: monospace;">__index__</span> (2.5+ only)</td><td>self</td><td>object</td><td>Convert to sequence index</td></tr><tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>In-place arithmetic operators</b></td>
</tr>
<tr>
<td><tt>__iadd__</tt></td>
<td>self, x</td>
<td>object</td>
<td>+= operator</td>
</tr>
<tr>
<td><tt>__isub__</tt></td>
<td>self, x</td>
<td>object</td>
<td>-= operator</td>
</tr>
<tr>
<td><tt>__imul__</tt></td>
<td>self, x</td>
<td>object</td>
<td>*= operator</td>
</tr>
<tr>
<td><tt>__idiv__</tt></td>
<td>self, x</td>
<td>object</td>
<td>/= operator for old-style division</td>
</tr>
<tr>
<td><tt>__ifloordiv__</tt></td>
<td>self, x</td>
<td>object</td>
<td>//= operator</td>
</tr>
<tr>
<td><tt>__itruediv__</tt></td>
<td>self, x</td>
<td>object</td>
<td>/= operator for new-style division</td>
</tr>
<tr>
<td><tt>__imod__</tt></td>
<td>self, x</td>
<td>object</td>
<td>%= operator</td>
</tr>
<tr>
<td><tt>__ipow__</tt></td>
<td>x, y, z</td>
<td>object</td>
<td>**= operator</td>
</tr>
<tr>
<td><tt>__ilshift__</tt></td>
<td>self, x</td>
<td>object</td>
<td><<= operator</td>
</tr>
<tr>
<td><tt>__irshift__</tt></td>
<td>self, x</td>
<td>object</td>
<td>>>= operator</td>
</tr>
<tr>
<td><tt>__iand__</tt></td>
<td>self, x</td>
<td>object</td>
<td>&= operator</td>
</tr>
<tr>
<td><tt>__ior__</tt></td>
<td>self, x</td>
<td>object</td>
<td>|= operator</td>
</tr>
<tr>
<td><tt>__ixor__</tt></td>
<td>self, x</td>
<td>object</td>
<td>^= operator</td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Sequences and mappings</b></td>
</tr>
<tr>
<td><tt>__len__</tt></td>
<td>self</td>
<td>int</td>
<td>len(self)</td>
</tr>
<tr>
<td><tt>__getitem__</tt></td>
<td>self, x</td>
<td>object</td>
<td>self[x]</td>
</tr>
<tr>
<td><tt>__setitem__</tt></td>
<td>self, x, y</td>
<td> </td>
<td>self[x] = y</td>
</tr>
<tr>
<td><tt>__delitem__</tt></td>
<td>self, x</td>
<td> </td>
<td>del self[x]</td>
</tr>
<tr>
<td><tt>__getslice__</tt></td>
<td>self, Py_ssize_t i, Py_ssize_t j</td>
<td>object</td>
<td>self[i:j]</td>
</tr>
<tr>
<td><tt>__setslice__</tt></td>
<td>self, Py_ssize_t i, Py_ssize_t j, x</td>
<td> </td>
<td>self[i:j] = x</td>
</tr>
<tr>
<td><tt>__delslice__</tt></td>
<td>self, Py_ssize_t i, Py_ssize_t j</td>
<td> </td>
<td>del self[i:j]</td>
</tr>
<tr>
<td><tt>__contains__</tt></td>
<td>self, x</td>
<td>int</td>
<td>x in self</td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Iterators</b></td>
</tr>
<tr>
<td><tt>__next__</tt></td>
<td>self</td>
<td>object</td>
<td>Get next item (called <tt>next</tt> in Python)</td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Buffer interface</b> (no Python equivalents
- see note 1)</td>
</tr>
<tr>
<td><tt>__getreadbuffer__</tt></td>
<td>self, int i, void **p</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td><tt>__getwritebuffer__</tt></td>
<td>self, int i, void **p</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td><tt>__getsegcount__</tt></td>
<td>self, int *p</td>
<td> </td>
<td> </td>
</tr>
<tr>
<td><tt>__getcharbuffer__</tt></td>
<td>self, int i, char **p</td>
<td> </td>
<td> </td>
</tr>
<tr nosave="" bgcolor="#66ffff">
<td colspan="4" nosave=""><b>Descriptor objects</b> (see note 2)</td>
</tr>
<tr>
<td><tt>__get__</tt></td>
<td>self, instance, class</td>
<td>object</td>
<td>Get value of attribute</td>
</tr>
<tr>
<td><tt>__set__</tt></td>
<td>self, instance, value</td>
<td> </td>
<td>Set value of attribute</td>
</tr>
<tr>
<td style="font-family: monospace;">__delete__</td>
<td>self, instance</td>
<td> </td>
<td>Delete attribute</td>
</tr>
</tbody>
</table>
</p>
<p>Note 1: The buffer interface is intended for use by C code and is not
directly accessible from Python. It is described in the <a href="http://www.python.org/doc/current/api/api.html">Python/C API Reference
Manual</a> under sections <a href="http://www.python.org/doc/current/api/abstract-buffer.html">6.6</a>
and <a href="http://www.python.org/doc/current/api/buffer-structs.html">10.6</a>.
</p>
<p>Note 2: Descriptor objects are part of the support mechanism for new-style
Python classes. See the <a href="http://www.python.org/doc/2.2.1/whatsnew/sect-rellinks.html#SECTION000320000000000000000">discussion
of descriptors in the Python documentation</a>. See also <a href="http://www.python.org/peps/pep-0252.html">PEP 252, "Making Types Look
More Like Classes"</a>, and <a href="http://www.python.org/peps/pep-0253.html">PEP 253, "Subtyping Built-In
Types"</a>. </p>
<br>
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Mandriva
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x86_64
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media
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main-backports
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95859d1855e3bdeb19f63a549226fb8c
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