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authorNick Coghlan <ncoghlan@gmail.com>2008-08-04 12:40:59 (GMT)
committerNick Coghlan <ncoghlan@gmail.com>2008-08-04 12:40:59 (GMT)
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Issue 643841: better documentation of the special method lookup process, especially for new-style classes. Also removes the warnings about not being authoritative for new-style classes - the language reference actually covers those fairly well now (albeit in a fashion that isn't always particularly easy to follow).
Diffstat (limited to 'Doc/reference')
-rw-r--r--Doc/reference/datamodel.rst190
1 files changed, 147 insertions, 43 deletions
diff --git a/Doc/reference/datamodel.rst b/Doc/reference/datamodel.rst
index 9e28fe9..0e9cf61 100644
--- a/Doc/reference/datamodel.rst
+++ b/Doc/reference/datamodel.rst
@@ -742,12 +742,23 @@ Modules
of the shared library file.
Classes
- Class objects are created by class definitions (see section :ref:`class`). A
- class has a namespace implemented by a dictionary object. Class attribute
- references are translated to lookups in this dictionary, e.g., ``C.x`` is
- translated to ``C.__dict__["x"]``. When the attribute name is not found
- there, the attribute search continues in the base classes. The search is
- depth-first, left-to-right in the order of occurrence in the base class list.
+ Both class types (new-style classes) and class objects (old-style/classic
+ classes) are typically created by class definitions (see section
+ :ref:`class`). A class has a namespace implemented by a dictionary object.
+ Class attribute references are translated to lookups in this dictionary, e.g.,
+ ``C.x`` is translated to ``C.__dict__["x"]`` (although for new-style classes
+ in particular there are a number of hooks which allow for other means of
+ locating attributes). When the attribute name is not found there, the
+ attribute search continues in the base classes. For old-style classes, the
+ search is depth-first, left-to-right in the order of occurrence in the base
+ class list. New-style classes use the more complex C3 method resolution
+ order which behaves correctly even in the presence of 'diamond'
+ inheritance structures where there are multiple inheritance paths
+ leading back to a common ancestor. Additional details on the C3 MRO used by
+ new-style classes can be found in the documentation accompanying the
+ 2.3 release at http://www.python.org/download/releases/2.3/mro/.
+
+ .. XXX: Could we add that MRO doc as an appendix to the language ref?
.. index::
object: class
@@ -768,7 +779,7 @@ Classes
static method object, it is transformed into the object wrapped by the static
method object. See section :ref:`descriptors` for another way in which
attributes retrieved from a class may differ from those actually contained in
- its :attr:`__dict__`.
+ its :attr:`__dict__` (note that only new-style classes support descriptors).
.. index:: triple: class; attribute; assignment
@@ -1075,7 +1086,7 @@ Internal types
New-style and classic classes
=============================
-Classes and instances come in two flavors: old-style or classic, and new-style.
+Classes and instances come in two flavors: old-style (or classic) and new-style.
Up to Python 2.1, old-style classes were the only flavour available to the user.
The concept of (old-style) class is unrelated to the concept of type: if *x* is
@@ -1086,10 +1097,12 @@ a single built-in type, called ``instance``.
New-style classes were introduced in Python 2.2 to unify classes and types. A
new-style class is neither more nor less than a user-defined type. If *x* is an
-instance of a new-style class, then ``type(x)`` is the same as ``x.__class__``.
+instance of a new-style class, then ``type(x)`` is typically the same as
+``x.__class__`` (although this is not guaranteed - a new-style class instance is
+permitted to override the value returned for ``x.__class__``).
The major motivation for introducing new-style classes is to provide a unified
-object model with a full meta-model. It also has a number of immediate
+object model with a full meta-model. It also has a number of practical
benefits, like the ability to subclass most built-in types, or the introduction
of "descriptors", which enable computed properties.
@@ -1103,16 +1116,18 @@ the way special methods are invoked. Others are "fixes" that could not be
implemented before for compatibility concerns, like the method resolution order
in case of multiple inheritance.
-This manual is not up-to-date with respect to new-style classes. For now,
-please see http://www.python.org/doc/newstyle/ for more information.
+While this manual aims to provide comprehensive coverage of Python's class
+mechanics, it may still be lacking in some areas when it comes to its coverage
+of new-style classes. Please see http://www.python.org/doc/newstyle/ for
+sources of additional information.
.. index::
single: class; new-style
single: class; classic
single: class; old-style
-The plan is to eventually drop old-style classes, leaving only the semantics of
-new-style classes. This change will probably only be feasible in Python 3.0.
+Old-style classes are removed in Python 3.0, leaving only the semantics of
+new-style classes.
.. _specialnames:
@@ -1129,24 +1144,11 @@ A class can implement certain operations that are invoked by special syntax
with special names. This is Python's approach to :dfn:`operator overloading`,
allowing classes to define their own behavior with respect to language
operators. For instance, if a class defines a method named :meth:`__getitem__`,
-and ``x`` is an instance of this class, then ``x[i]`` is equivalent [#]_ to
-``x.__getitem__(i)``. Except where mentioned, attempts to execute an operation
-raise an exception when no appropriate method is defined.
-
-For new-style classes, special methods are only guaranteed to work if defined in
-an object's class, not in the object's instance dictionary. That explains why
-this won't work::
-
- >>> class C:
- ... pass
- ...
- >>> c = C()
- >>> c.__len__ = lambda: 5
- >>> len(c)
- Traceback (most recent call last):
- File "<stdin>", line 1, in <module>
- TypeError: object of type 'C' has no len()
-
+and ``x`` is an instance of this class, then ``x[i]`` is roughly equivalent
+to ``x.__getitem__(i)`` for old-style classes and ``type(x).__getitem__(x, i)``
+for new-style classes. Except where mentioned, attempts to execute an
+operation raise an exception when no appropriate method is defined (typically
+:exc:`AttributeError` or :exc:`TypeError`).
When implementing a class that emulates any built-in type, it is important that
the emulation only be implemented to the degree that it makes sense for the
@@ -1479,6 +1481,12 @@ The following methods only apply to new-style classes.
method with the same name to access any attributes it needs, for example,
``object.__getattribute__(self, name)``.
+ .. note::
+
+ This method may still be bypassed when looking up special methods as the
+ result of implicit invocation via language syntax or builtin functions.
+ See :ref:`new-style-special-lookup`.
+
.. _descriptors:
@@ -2274,19 +2282,115 @@ For more information on context managers, see :ref:`typecontextmanager`.
The specification, background, and examples for the Python :keyword:`with`
statement.
+
+.. _old-style-special-lookup:
+
+Special method lookup for old-style classes
+-------------------------------------------
+
+For old-style classes, special methods are always looked up in exactly the
+same way as any other method or attribute. This is the case regardless of
+whether the method is being looked up explicitly as in ``x.__getitem__(i)``
+or implicitly as in ``x[i]``.
+
+This behaviour means that special methods may exhibit different behaviour
+for different instances of a single old-style class if the appropriate
+special attributes are set differently::
+
+ >>> class C:
+ ... pass
+ ...
+ >>> c1 = C()
+ >>> c2 = C()
+ >>> c1.__len__ = lambda: 5
+ >>> c2.__len__ = lambda: 9
+ >>> len(c1)
+ 5
+ >>> len(c2)
+ 9
+
+
+.. _new-style-special-lookup:
+
+Special method lookup for new-style classes
+-------------------------------------------
+
+For new-style classes, implicit invocations of special methods are only guaranteed
+to work correctly if defined on an object's type, not in the object's instance
+dictionary. That behaviour is the reason why the following code raises an
+exception (unlike the equivalent example with old-style classes)::
+
+ >>> class C(object):
+ ... pass
+ ...
+ >>> c = C()
+ >>> c.__len__ = lambda: 5
+ >>> len(c)
+ Traceback (most recent call last):
+ File "<stdin>", line 1, in <module>
+ TypeError: object of type 'C' has no len()
+
+The rationale behind this behaviour lies with a number of special methods such
+as :meth:`__hash__` and :meth:`__repr__` that are implemented by all objects,
+including type objects. If the implicit lookup of these methods used the
+conventional lookup process, they would fail when invoked on the type object
+itself::
+
+ >>> 1 .__hash__() == hash(1)
+ True
+ >>> int.__hash__() == hash(int)
+ Traceback (most recent call last):
+ File "<stdin>", line 1, in <module>
+ TypeError: descriptor '__hash__' of 'int' object needs an argument
+
+Incorrectly attempting to invoke an unbound method of a class in this way is
+sometimes referred to as 'metaclass confusion', and is avoided by bypassing
+the instance when looking up special methods::
+
+ >>> type(1).__hash__(1) == hash(1)
+ True
+ >>> type(int).__hash__(int) == hash(int)
+ True
+
+In addition to bypassing any instance attributes in the interest of
+correctness, implicit special method lookup may also bypass the
+:meth:`__getattribute__` method even of the object's metaclass::
+
+ >>> class Meta(type):
+ ... def __getattribute__(*args):
+ ... print "Metaclass getattribute invoked"
+ ... return type.__getattribute__(*args)
+ ...
+ >>> class C(object):
+ ... __metaclass__ = Meta
+ ... def __len__(self):
+ ... return 10
+ ... def __getattribute__(*args):
+ ... print "Class getattribute invoked"
+ ... return object.__getattribute__(*args)
+ ...
+ >>> c = C()
+ >>> c.__len__() # Explicit lookup via instance
+ Class getattribute invoked
+ 10
+ >>> type(c).__len__(c) # Explicit lookup via type
+ Metaclass getattribute invoked
+ 10
+ >>> len(c) # Implicit lookup
+ 10
+
+Bypassing the :meth:`__getattribute__` machinery in this fashion
+provides significant scope for speed optimisations within the
+interpreter, at the cost of some flexibility in the handling of
+special methods (the special method *must* be set on the class
+object itself in order to be consistently invoked by the interpreter).
+
+
.. rubric:: Footnotes
-.. [#] Since Python 2.2, a gradual merging of types and classes has been started that
- makes this and a few other assertions made in this manual not 100% accurate and
- complete: for example, it *is* now possible in some cases to change an object's
- type, under certain controlled conditions. Until this manual undergoes
- extensive revision, it must now be taken as authoritative only regarding
- "classic classes", that are still the default, for compatibility purposes, in
- Python 2.2 and 2.3. For more information, see
- http://www.python.org/doc/newstyle/.
-
-.. [#] This, and other statements, are only roughly true for instances of new-style
- classes.
+.. [#] It *is* possible in some cases to change an object's type, under certain
+ controlled conditions. It generally isn't a good idea though, since it can
+ lead to some very strange behaviour if it is handled incorrectly.
.. [#] A descriptor can define any combination of :meth:`__get__`,
:meth:`__set__` and :meth:`__delete__`. If it does not define :meth:`__get__`,