.. _datamodel:
**********
Data model
**********
.. _objects:
Objects, values and types
=========================
.. index::
single: object
single: data
:dfn:`Objects` are Python's abstraction for data. All data in a Python program
is represented by objects or by relations between objects. (In a sense, and in
conformance to Von Neumann's model of a "stored program computer," code is also
represented by objects.)
.. index::
builtin: id
builtin: type
single: identity of an object
single: value of an object
single: type of an object
single: mutable object
single: immutable object
Every object has an identity, a type and a value. An object's *identity* never
changes once it has been created; you may think of it as the object's address in
memory. The ':keyword:`is`' operator compares the identity of two objects; the
:func:`id` function returns an integer representing its identity (currently
implemented as its address). An object's :dfn:`type` is also unchangeable. [#]_
An object's type determines the operations that the object supports (e.g., "does
it have a length?") and also defines the possible values for objects of that
type. The :func:`type` function returns an object's type (which is an object
itself). The *value* of some objects can change. Objects whose value can
change are said to be *mutable*; objects whose value is unchangeable once they
are created are called *immutable*. (The value of an immutable container object
that contains a reference to a mutable object can change when the latter's value
is changed; however the container is still considered immutable, because the
collection of objects it contains cannot be changed. So, immutability is not
strictly the same as having an unchangeable value, it is more subtle.) An
object's mutability is determined by its type; for instance, numbers, strings
and tuples are immutable, while dictionaries and lists are mutable.
.. index::
single: garbage collection
single: reference counting
single: unreachable object
Objects are never explicitly destroyed; however, when they become unreachable
they may be garbage-collected. An implementation is allowed to postpone garbage
collection or omit it altogether --- it is a matter of implementation quality
how garbage collection is implemented, as long as no objects are collected that
are still reachable.
.. impl-detail::
CPython currently uses a reference-counting scheme with (optional) delayed
detection of cyclically linked garbage, which collects most objects as soon
as they become unreachable, but is not guaranteed to collect garbage
containing circular references. See the documentation of the :mod:`gc`
module for information on controlling the collection of cyclic garbage.
Other implementations act differently and CPython may change.
Do not depend on immediate finalization of objects when they become
unreachable (ex: always close files).
Note that the use of the implementation's tracing or debugging facilities may
keep objects alive that would normally be collectable. Also note that catching
an exception with a ':keyword:`try`...\ :keyword:`except`' statement may keep
objects alive.
Some objects contain references to "external" resources such as open files or
windows. It is understood that these resources are freed when the object is
garbage-collected, but since garbage collection is not guaranteed to happen,
such objects also provide an explicit way to release the external resource,
usually a :meth:`close` method. Programs are strongly recommended to explicitly
close such objects. The ':keyword:`try`...\ :keyword:`finally`' statement
provides a convenient way to do this.
.. index:: single: container
Some objects contain references to other objects; these are called *containers*.
Examples of containers are tuples, lists and dictionaries. The references are
part of a container's value. In most cases, when we talk about the value of a
container, we imply the values, not the identities of the contained objects;
however, when we talk about the mutability of a container, only the identities
of the immediately contained objects are implied. So, if an immutable container
(like a tuple) contains a reference to a mutable object, its value changes if
that mutable object is changed.
Types affect almost all aspects of object behavior. Even the importance of
object identity is affected in some sense: for immutable types, operations that
compute new values may actually return a reference to any existing object with
the same type and value, while for mutable objects this is not allowed. E.g.,
after ``a = 1; b = 1``, ``a`` and ``b`` may or may not refer to the same object
with the value one, depending on the implementation, but after ``c = []; d =
[]``, ``c`` and ``d`` are guaranteed to refer to two different, unique, newly
created empty lists. (Note that ``c = d = []`` assigns the same object to both
``c`` and ``d``.)
.. _types:
The standard type hierarchy
===========================
.. index::
single: type
pair: data; type
pair: type; hierarchy
pair: extension; module
pair: C; language
Below is a list of the types that are built into Python. Extension modules
(written in C, Java, or other languages, depending on the implementation) can
define additional types. Future versions of Python may add types to the type
hierarchy (e.g., rational numbers, efficiently stored arrays of integers, etc.).
.. index::
single: attribute
pair: special; attribute
triple: generic; special; attribute
Some of the type descriptions below contain a paragraph listing 'special
attributes.' These are attributes that provide access to the implementation and
are not intended for general use. Their definition may change in the future.
None
.. index:: object: None
This type has a single value. There is a single object with this value. This
object is accessed through the built-in name ``None``. It is used to signify the
absence of a value in many situations, e.g., it is returned from functions that
don't explicitly return anything. Its truth value is false.
NotImplemented
.. index:: object: NotImplemented
This type has a single value. There is a single object with this value. This
object is accessed through the built-in name ``NotImplemented``. Numeric methods
and rich comparison methods may return this value if they do not implement the
operation for the operands provided. (The interpreter will then try the
reflected operation, or some other fallback, depending on the operator.) Its
truth value is true.
Ellipsis
.. index:: object: Ellipsis
This type has a single value. There is a single object with this value. This
object is accessed through the built-in name ``Ellipsis``. It is used to
indicate the presence of the ``...`` syntax in a slice. Its truth value is
true.
:class:`numbers.Number`
.. index:: object: numeric
These are created by numeric literals and returned as results by arithmetic
operators and arithmetic built-in functions. Numeric objects are immutable;
once created their value never changes. Python numbers are of course strongly
related to mathematical numbers, but subject to the limitations of numerical
representation in computers.
Python distinguishes between integers, floating point numbers, and complex
numbers:
:class:`numbers.Integral`
.. index:: object: integer
These represent elements from the mathematical set of integers (positive and
negative).
There are three types of integers:
Plain integers
.. index::
object: plain integer
single: OverflowError (built-in exception)
These represent numbers in the range -2147483648 through 2147483647.
(The range may be larger on machines with a larger natural word size,
but not smaller.) When the result of an operation would fall outside
this range, the result is normally returned as a long integer (in some
cases, the exception :exc:`OverflowError` is raised instead). For the
purpose of shift and mask operations, integers are assumed to have a
binary, 2's complement notation using 32 or more bits, and hiding no
bits from the user (i.e., all 4294967296 different bit patterns
correspond to different values).
Long integers
.. index:: object: long integer
These represent numbers in an unlimited range, subject to available
(virtual) memory only. For the purpose of shift and mask operations, a
binary representation is assumed, and negative numbers are represented
in a variant of 2's complement which gives the illusion of an infinite
string of sign bits extending to the left.
Booleans
.. index::
object: Boolean
single: False
single: True
These represent the truth values False and True. The two objects
representing the values ``False`` and ``True`` are the only Boolean objects.
The Boolean type is a subtype of plain integers, and Boolean values
behave like the values 0 and 1, respectively, in almost all contexts,
the exception being that when converted to a string, the strings
``"False"`` or ``"True"`` are returned, respectively.
.. index:: pair: integer; representation
The rules for integer representation are intended to give the most
meaningful interpretation of shift and mask operations involving negative
integers and the least surprises when switching between the plain and long
integer domains. Any operation, if it yields a result in the plain
integer domain, will yield the same result in the long integer domain or
when using mixed operands. The switch between domains is transparent to
the programmer.
:class:`numbers.Real` (:class:`float`)
.. index::
object: floating point
pair: floating point; number
pair: C; language
pair: Java; language
These represent machine-level double precision floating point numbers. You are
at the mercy of the underlying machine architecture (and C or Java
implementation) for the accepted range and handling of overflow. Python does not
support single-precision floating point numbers; the savings in processor and
memory usage that are usually the reason for using these are dwarfed by the
overhead of using objects in Python, so there is no reason to complicate the
language with two kinds of floating point numbers.
:class:`numbers.Complex`
.. index::
object: complex
pair: complex; number
These represent complex numbers as a pair of machine-level double precision
floating point numbers. The same caveats apply as for floating point numbers.
The real and imaginary parts of a complex number ``z`` can be retrieved through
the read-only attributes ``z.real`` and ``z.imag``.
Sequences
.. index::
builtin: len
object: sequence
single: index operation
single: item selection
single: subscription
These represent finite ordered sets indexed by non-negative numbers. The
built-in function :func:`len` returns the number of items of a sequence. When
the length of a sequence is *n*, the index set contains the numbers 0, 1,
..., *n*-1. Item *i* of sequence *a* is selected by ``a[i]``.
.. index:: single: slicing
Sequences also support slicing: ``a[i:j]`` selects all items with index *k* such
that *i* ``<=`` *k* ``<`` *j*. When used as an expression, a slice is a
sequence of the same type. This implies that the index set is renumbered so
that it starts at 0.
.. index:: single: extended slicing
Some sequences also support "extended slicing" with a third "step" parameter:
``a[i:j:k]`` selects all items of *a* with index *x* where ``x = i + n*k``, *n*
``>=`` ``0`` and *i* ``<=`` *x* ``<`` *j*.
Sequences are distinguished according to their mutability:
Immutable sequences
.. index::
object: immutable sequence
object: immutable
An object of an immutable sequence type cannot change once it is created. (If
the object contains references to other objects, these other objects may be
mutable and may be changed; however, the collection of objects directly
referenced by an immutable object cannot change.)
The following types are immutable sequences:
Strings
.. index::
builtin: chr
builtin: ord
object: string
single: character
single: byte
single: ASCII@ASCII
The items of a string are characters. There is no separate character type; a
character is represented by a string of one item. Characters represent (at
least) 8-bit bytes. The built-in functions :func:`chr` and :func:`ord` convert
between characters and nonnegative integers representing the byte values. Bytes
with the values 0--127 usually represent the corresponding ASCII values, but the
interpretation of values is up to the program. The string data type is also
used to represent arrays of bytes, e.g., to hold data read from a file.
.. index::
single: ASCII@ASCII
single: EBCDIC
single: character set
pair: string; comparison
builtin: chr
builtin: ord
(On systems whose native character set is not ASCII, strings may use EBCDIC in
their internal representation, provided the functions :func:`chr` and
:func:`ord` implement a mapping between ASCII and EBCDIC, and string comparison
preserves the ASCII order. Or perhaps someone can propose a better rule?)
Unicode
.. index::
builtin: unichr
builtin: ord
builtin: unicode
object: unicode
single: character
single: integer
single: Unicode
The items of a Unicode object are Unicode code units. A Unicode code unit is
represented by a Unicode object of one item and can hold either a 16-bit or
32-bit value representing a Unicode ordinal (the maximum value for the ordinal
is given in ``sys.maxunicode``, and depends on how Python is configured at
compile time). Surrogate pairs may be present in the Unicode object, and will
be reported as two separate items. The built-in functions :func:`unichr` and
:func:`ord` convert between code units and nonnegative integers representing the
Unicode ordinals as defined in the Unicode Standard 3.0. Conversion from and to
other encodings are possible through the Unicode method :meth:`encode` and the
built-in function :func:`unicode`.
Tuples
.. index::
object: tuple
pair: singleton; tuple
pair: empty; tuple
The items of a tuple are arbitrary Python objects. Tuples of two or more items
are formed by comma-separated lists of expressions. A tuple of one item (a
'singleton') can be formed by affixing a comma to an expression (an expression
by itself does not create a tuple, since parentheses must be usable for grouping
of expressions). An empty tuple can be formed by an empty pair of parentheses.
Mutable sequences
.. index::
object: mutable sequence
object: mutable
pair: assignment; statement
single: subscription
single: slicing
Mutable sequences can be changed after they are created. The subscription and
slicing notations can be used as the target of assignment and :keyword:`del`
(delete) statements.
There are currently two intrinsic mutable sequence types:
Lists
.. index:: object: list
The items of a list are arbitrary Python objects. Lists are formed by placing a
comma-separated list of expressions in square brackets. (Note that there are no
special cases needed to form lists of length 0 or 1.)
Byte Arrays
.. index:: bytearray
A bytearray object is a mutable array. They are created by the built-in
:func:`bytearray` constructor. Aside from being mutable (and hence
unhashable), byte arrays otherwise provide the same interface and
functionality as immutable bytes objects.
.. index:: module: array
The extension module :mod:`array` provides an additional example of a mutable
sequence type.
Set types
.. index::
builtin: len
object: set type
These represent unordered, finite sets of unique, immutable objects. As such,
they cannot be indexed by any subscript. However, they can be iterated over, and
the built-in function :func:`len` returns the number of items in a set. Common
uses for sets are fast membership testing, removing duplicates from a sequence,
and computing mathematical operations such as intersection, union, difference,
and symmetric difference.
For set elements, the same immutability rules apply as for dictionary keys. Note
that numeric types obey the normal rules for numeric comparison: if two numbers
compare equal (e.g., ``1`` and ``1.0``), only one of them can be contained in a
set.
There are currently two intrinsic set types:
Sets
.. index:: object: set
These represent a mutable set. They are created by the built-in :func:`set`
constructor and can be modified afterwards by several methods, such as
:meth:`~set.add`.
Frozen sets
.. index:: object: frozenset
These represent an immutable set. They are created by the built-in
:func:`frozenset` constructor. As a frozenset is immutable and
:term:`hashable`, it can be used again as an element of another set, or as
a dictionary key.
Mappings
.. index::
builtin: len
single: subscription
object: mapping
These represent finite sets of objects indexed by arbitrary index sets. The
subscript notation ``a[k]`` selects the item indexed by ``k`` from the mapping
``a``; this can be used in expressions and as the target of assignments or
:keyword:`del` statements. The built-in function :func:`len` returns the number
of items in a mapping.
There is currently a single intrinsic mapping type:
Dictionaries
.. index:: object: dictionary
These represent finite sets of objects indexed by nearly arbitrary values. The
only types of values not acceptable as keys are values containing lists or
dictionaries or other mutable types that are compared by value rather than by
object identity, the reason being that the efficient implementation of
dictionaries requires a key's hash value to remain constant. Numeric types used
for keys obey the normal rules for numeric comparison: if two numbers compare
equal (e.g., ``1`` and ``1.0``) then they can be used interchangeably to index
the same dictionary entry.
Dictionaries are mutable; they can be created by the ``{...}`` notation (see
section :ref:`dict`).
.. index::
module: dbm
module: gdbm
module: bsddb
The extension modules :mod:`dbm`, :mod:`gdbm`, and :mod:`bsddb` provide
additional examples of mapping types.
Callable types
.. index::
object: callable
pair: function; call
single: invocation
pair: function; argument
These are the types to which the function call operation (see section
:ref:`calls`) can be applied:
User-defined functions
.. index::
pair: user-defined; function
object: function
object: user-defined function
A user-defined function object is created by a function definition (see
section :ref:`function`). It should be called with an argument list
containing the same number of items as the function's formal parameter
list.
Special attributes:
.. tabularcolumns:: |l|L|l|
.. index::
single: __doc__ (function attribute)
single: __name__ (function attribute)
single: __module__ (function attribute)
single: __dict__ (function attribute)
single: __defaults__ (function attribute)
single: __code__ (function attribute)
single: __globals__ (function attribute)
single: __closure__ (function attribute)
single: func_doc (function attribute)
single: func_name (function attribute)
single: func_dict (function attribute)
single: func_defaults (function attribute)
single: func_code (function attribute)
single: func_globals (function attribute)
single: func_closure (function attribute)
pair: global; namespace
+-----------------------+-------------------------------+-----------+
| Attribute | Meaning | |
+=======================+===============================+===========+
| :attr:`__doc__` | The function's documentation | Writable |
| :attr:`func_doc` | string, or ``None`` if | |
| | unavailable. | |
+-----------------------+-------------------------------+-----------+
| :attr:`~definition.\ | The function's name | Writable |
| __name__` | | |
| :attr:`func_name` | | |
+-----------------------+-------------------------------+-----------+
| :attr:`__module__` | The name of the module the | Writable |
| | function was defined in, or | |
| | ``None`` if unavailable. | |
+-----------------------+-------------------------------+-----------+
| :attr:`__defaults__` | A tuple containing default | Writable |
| :attr:`func_defaults` | argument values for those | |
| | arguments that have defaults, | |
| | or ``None`` if no arguments | |
| | have a default value. | |
+-----------------------+-------------------------------+-----------+
| :attr:`__code__` | The code object representing | Writable |
| :attr:`func_code` | the compiled function body. | |
+-----------------------+-------------------------------+-----------+
| :attr:`__globals__` | A reference to the dictionary | Read-only |
| :attr:`func_globals` | that holds the function's | |
| | global variables --- the | |
| | global namespace of the | |
| | module in which the function | |
| | was defined. | |
+-----------------------+-------------------------------+-----------+
| :attr:`~object.\ | The namespace supporting | Writable |
| __dict__` | arbitrary function | |
| :attr:`func_dict` | attributes. | |
+-----------------------+-------------------------------+-----------+
| :attr:`__closure__` | ``None`` or a tuple of cells | Read-only |
| :attr:`func_closure` | that contain bindings for the | |
| | function's free variables. | |
+-----------------------+-------------------------------+-----------+
Most of the attributes labelled "Writable" check the type of the assigned value.
.. versionchanged:: 2.4
``func_name`` is now writable.
.. versionchanged:: 2.6
The double-underscore attributes ``__closure__``, ``__code__``,
``__defaults__``, and ``__globals__`` were introduced as aliases for
the corresponding ``func_*`` attributes for forwards compatibility
with Python 3.
Function objects also support getting and setting arbitrary attributes, which
can be used, for example, to attach metadata to functions. Regular attribute
dot-notation is used to get and set such attributes. *Note that the current
implementation only supports function attributes on user-defined functions.
Function attributes on built-in functions may be supported in the future.*
Additional information about a function's definition can be retrieved from its
code object; see the description of internal types below.
User-defined methods
.. index::
object: method
object: user-defined method
pair: user-defined; method
A user-defined method object combines a class, a class instance (or ``None``)
and any callable object (normally a user-defined function).
Special read-only attributes: :attr:`im_self` is the class instance object,
:attr:`im_func` is the function object; :attr:`im_class` is the class of
:attr:`im_self` for bound methods or the class that asked for the method for
unbound methods; :attr:`__doc__` is the method's documentation (same as
``im_func.__doc__``); :attr:`~definition.__name__` is the method name (same as
``im_func.__name__``); :attr:`__module__` is the name of the module the method
was defined in, or ``None`` if unavailable.
.. versionchanged:: 2.2
:attr:`im_self` used to refer to the class that defined the method.
.. versionchanged:: 2.6
For Python 3 forward-compatibility, :attr:`im_func` is also available as
:attr:`__func__`, and :attr:`im_self` as :attr:`__self__`.
.. index::
single: __doc__ (method attribute)
single: __name__ (method attribute)
single: __module__ (method attribute)
single: im_func (method attribute)
single: im_self (method attribute)
Methods also support accessing (but not setting) the arbitrary function
attributes on the underlying function object.
User-defined method objects may be created when getting an attribute of a class
(perhaps via an instance of that class), if that attribute is a user-defined
function object, an unbound user-defined method object, or a class method
object. When the attribute is a user-defined method object, a new method object
is only created if the class from which it is being retrieved is the same as, or
a derived class of, the class stored in the original method object; otherwise,
the original method object is used as it is.
.. index::
single: im_class (method attribute)
single: im_func (method attribute)
single: im_self (method attribute)
When a user-defined method object is created by retrieving a user-defined
function object from a class, its :attr:`im_self` attribute is ``None``
and the method object is said to be unbound. When one is created by
retrieving a user-defined function object from a class via one of its
instances, its :attr:`im_self` attribute is the instance, and the method
object is said to be bound. In either case, the new method's
:attr:`im_class` attribute is the class from which the retrieval takes
place, and its :attr:`im_func` attribute is the original function object.
.. index:: single: im_func (method attribute)
When a user-defined method object is created by retrieving another method object
from a class or instance, the behaviour is the same as for a function object,
except that the :attr:`im_func` attribute of the new instance is not the
original method object but its :attr:`im_func` attribute.
.. index::
single: im_class (method attribute)
single: im_func (method attribute)
single: im_self (method attribute)
When a user-defined method object is created by retrieving a class method object
from a class or instance, its :attr:`im_self` attribute is the class itself, and
its :attr:`im_func` attribute is the function object underlying the class method.
When an unbound user-defined method object is called, the underlying function
(:attr:`im_func`) is called, with the restriction that the first argument must
be an instance of the proper class (:attr:`im_class`) or of a derived class
thereof.
When a bound user-defined method object is called, the underlying function
(:attr:`im_func`) is called, inserting the class instance (:attr:`im_self`) in
front of the argument list. For instance, when :class:`C` is a class which
contains a definition for a function :meth:`f`, and ``x`` is an instance of
:class:`C`, calling ``x.f(1)`` is equivalent to calling ``C.f(x, 1)``.
When a user-defined method object is derived from a class method object, the
"class instance" stored in :attr:`im_self` will actually be the class itself, so
that calling either ``x.f(1)`` or ``C.f(1)`` is equivalent to calling ``f(C,1)``
where ``f`` is the underlying function.
Note that the transformation from function object to (unbound or bound) method
object happens each time the attribute is retrieved from the class or instance.
In some cases, a fruitful optimization is to assign the attribute to a local
variable and call that local variable. Also notice that this transformation only
happens for user-defined functions; other callable objects (and all non-callable
objects) are retrieved without transformation. It is also important to note
that user-defined functions which are attributes of a class instance are not
converted to bound methods; this *only* happens when the function is an
attribute of the class.
Generator functions
.. index::
single: generator; function
single: generator; iterator
A function or method which uses the :keyword:`yield` statement (see section
:ref:`yield`) is called a :dfn:`generator
function`. Such a function, when called, always returns an iterator object
which can be used to execute the body of the function: calling the iterator's
:meth:`~iterator.next` method will cause the function to execute until
it provides a value
using the :keyword:`yield` statement. When the function executes a
:keyword:`return` statement or falls off the end, a :exc:`StopIteration`
exception is raised and the iterator will have reached the end of the set of
values to be returned.
Built-in functions
.. index::
object: built-in function
object: function
pair: C; language
A built-in function object is a wrapper around a C function. Examples of
built-in functions are :func:`len` and :func:`math.sin` (:mod:`math` is a
standard built-in module). The number and type of the arguments are
determined by the C function. Special read-only attributes:
:attr:`__doc__` is the function's documentation string, or ``None`` if
unavailable; :attr:`~definition.__name__` is the function's name; :attr:`__self__` is
set to ``None`` (but see the next item); :attr:`__module__` is the name of
the module the function was defined in or ``None`` if unavailable.
Built-in methods
.. index::
object: built-in method
object: method
pair: built-in; method
This is really a different disguise of a built-in function, this time containing
an object passed to the C function as an implicit extra argument. An example of
a built-in method is ``alist.append()``, assuming *alist* is a list object. In
this case, the special read-only attribute :attr:`__self__` is set to the object
denoted by *alist*.
Class Types
Class types, or "new-style classes," are callable. These objects normally act
as factories for new instances of themselves, but variations are possible for
class types that override :meth:`__new__`. The arguments of the call are passed
to :meth:`__new__` and, in the typical case, to :meth:`__init__` to initialize
the new instance.
Classic Classes
.. index::
single: __init__() (object method)
object: class
object: class instance
object: instance
pair: class object; call
Class objects are described below. When a class object is called, a new class
instance (also described below) is created and returned. This implies a call to
the class's :meth:`__init__` method if it has one. Any arguments are passed on
to the :meth:`__init__` method. If there is no :meth:`__init__` method, the
class must be called without arguments.
Class instances
Class instances are described below. Class instances are callable only when the
class has a :meth:`__call__` method; ``x(arguments)`` is a shorthand for
``x.__call__(arguments)``.
Modules
.. index::
statement: import
object: module
Modules are imported by the :keyword:`import` statement (see section
:ref:`import`). A module object has a
namespace implemented by a dictionary object (this is the dictionary referenced
by the func_globals attribute of functions defined in the module). Attribute
references are translated to lookups in this dictionary, e.g., ``m.x`` is
equivalent to ``m.__dict__["x"]``. A module object does not contain the code
object used to initialize the module (since it isn't needed once the
initialization is done).
Attribute assignment updates the module's namespace dictionary, e.g., ``m.x =
1`` is equivalent to ``m.__dict__["x"] = 1``.
.. index:: single: __dict__ (module attribute)
Special read-only attribute: :attr:`~object.__dict__` is the module's namespace as a
dictionary object.
.. impl-detail::
Because of the way CPython clears module dictionaries, the module
dictionary will be cleared when the module falls out of scope even if the
dictionary still has live references. To avoid this, copy the dictionary
or keep the module around while using its dictionary directly.
.. index::
single: __name__ (module attribute)
single: __doc__ (module attribute)
single: __file__ (module attribute)
pair: module; namespace
Predefined (writable) attributes: :attr:`__name__` is the module's name;
:attr:`__doc__` is the module's documentation string, or ``None`` if
unavailable; :attr:`__file__` is the pathname of the file from which the module
was loaded, if it was loaded from a file. The :attr:`__file__` attribute is not
present for C modules that are statically linked into the interpreter; for
extension modules loaded dynamically from a shared library, it is the pathname
of the shared library file.
Classes
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 https://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
object: class instance
object: instance
pair: class object; call
single: container
object: dictionary
pair: class; attribute
When a class attribute reference (for class :class:`C`, say) would yield a
user-defined function object or an unbound user-defined method object whose
associated class is either :class:`C` or one of its base classes, it is
transformed into an unbound user-defined method object whose :attr:`im_class`
attribute is :class:`C`. When it would yield a class method object, it is
transformed into a bound user-defined method object whose
:attr:`im_self` attribute is :class:`C`. When it would yield a
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:`~object.__dict__` (note that only new-style classes support descriptors).
.. index:: triple: class; attribute; assignment
Class attribute assignments update the class's dictionary, never the dictionary
of a base class.
.. index:: pair: class object; call
A class object can be called (see above) to yield a class instance (see below).
.. index::
single: __name__ (class attribute)
single: __module__ (class attribute)
single: __dict__ (class attribute)
single: __bases__ (class attribute)
single: __doc__ (class attribute)
Special attributes: :attr:`~definition.__name__` is the class name; :attr:`__module__` is
the module name in which the class was defined; :attr:`~object.__dict__` is the
dictionary containing the class's namespace; :attr:`~class.__bases__` is a
tuple (possibly empty or a singleton) containing the base classes, in the
order of their occurrence in the base class list; :attr:`__doc__` is the
class's documentation string, or ``None`` if undefined.
Class instances
.. index::
object: class instance
object: instance
pair: class; instance
pair: class instance; attribute
A class instance is created by calling a class object (see above). A class
instance has a namespace implemented as a dictionary which is the first place in
which attribute references are searched. When an attribute is not found there,
and the instance's class has an attribute by that name, the search continues
with the class attributes. If a class attribute is found that is a user-defined
function object or an unbound user-defined method object whose associated class
is the class (call it :class:`C`) of the instance for which the attribute
reference was initiated or one of its bases, it is transformed into a bound
user-defined method object whose :attr:`im_class` attribute is :class:`C` and
whose :attr:`im_self` attribute is the instance. Static method and class method
objects are also transformed, as if they had been retrieved from class
:class:`C`; see above under "Classes". See section :ref:`descriptors` for
another way in which attributes of a class retrieved via its instances may
differ from the objects actually stored in the class's :attr:`~object.__dict__`. If no
class attribute is found, and the object's class has a :meth:`__getattr__`
method, that is called to satisfy the lookup.
.. index:: triple: class instance; attribute; assignment
Attribute assignments and deletions update the instance's dictionary, never a
class's dictionary. If the class has a :meth:`__setattr__` or
:meth:`__delattr__` method, this is called instead of updating the instance
dictionary directly.
.. index::
object: numeric
object: sequence
object: mapping
Class instances can pretend to be numbers, sequences, or mappings if they have
methods with certain special names. See section :ref:`specialnames`.
.. index::
single: __dict__ (instance attribute)
single: __class__ (instance attribute)
Special attributes: :attr:`~object.__dict__` is the attribute dictionary;
:attr:`~instance.__class__` is the instance's class.
Files
.. index::
object: file
builtin: open
single: popen() (in module os)
single: makefile() (socket method)
single: sys.stdin
single: sys.stdout
single: sys.stderr
single: stdio
single: stdin (in module sys)
single: stdout (in module sys)
single: stderr (in module sys)
A file object represents an open file. File objects are created by the
:func:`open` built-in function, and also by :func:`os.popen`,
:func:`os.fdopen`, and the :meth:`makefile` method of socket objects (and
perhaps by other functions or methods provided by extension modules). The
objects ``sys.stdin``, ``sys.stdout`` and ``sys.stderr`` are initialized to
file objects corresponding to the interpreter's standard input, output and
error streams. See :ref:`bltin-file-objects` for complete documentation of
file objects.
Internal types
.. index::
single: internal type
single: types, internal
A few types used internally by the interpreter are exposed to the user. Their
definitions may change with future versions of the interpreter, but they are
mentioned here for completeness.
.. index:: bytecode, object; code, code object
Code objects
Code objects represent *byte-compiled* executable Python code, or :term:`bytecode`.
The difference between a code object and a function object is that the function
object contains an explicit reference to the function's globals (the module in
which it was defined), while a code object contains no context; also the default
argument values are stored in the function object, not in the code object
(because they represent values calculated at run-time). Unlike function
objects, code objects are immutable and contain no references (directly or
indirectly) to mutable objects.
.. index::
single: co_argcount (code object attribute)
single: co_code (code object attribute)
single: co_consts (code object attribute)
single: co_filename (code object attribute)
single: co_firstlineno (code object attribute)
single: co_flags (code object attribute)
single: co_lnotab (code object attribute)
single: co_name (code object attribute)
single: co_names (code object attribute)
single: co_nlocals (code object attribute)
single: co_stacksize (code object attribute)
single: co_varnames (code object attribute)
single: co_cellvars (code object attribute)
single: co_freevars (code object attribute)
Special read-only attributes: :attr:`co_name` gives the function name;
:attr:`co_argcount` is the number of positional arguments (including arguments
with default values); :attr:`co_nlocals` is the number of local variables used
by the function (including arguments); :attr:`co_varnames` is a tuple containing
the names of the local variables (starting with the argument names);
:attr:`co_cellvars` is a tuple containing the names of local variables that are
referenced by nested functions; :attr:`co_freevars` is a tuple containing the
names of free variables; :attr:`co_code` is a string representing the sequence
of bytecode instructions; :attr:`co_consts` is a tuple containing the literals
used by the bytecode; :attr:`co_names` is a tuple containing the names used by
the bytecode; :attr:`co_filename` is the filename from which the code was
compiled; :attr:`co_firstlineno` is the first line number of the function;
:attr:`co_lnotab` is a string encoding the mapping from bytecode offsets to
line numbers (for details see the source code of the interpreter);
:attr:`co_stacksize` is the required stack size (including local variables);
:attr:`co_flags` is an integer encoding a number of flags for the interpreter.
.. index:: object: generator
The following flag bits are defined for :attr:`co_flags`: bit ``0x04`` is set if
the function uses the ``*arguments`` syntax to accept an arbitrary number of
positional arguments; bit ``0x08`` is set if the function uses the
``**keywords`` syntax to accept arbitrary keyword arguments; bit ``0x20`` is set
if the function is a generator.
Future feature declarations (``from __future__ import division``) also use bits
in :attr:`co_flags` to indicate whether a code object was compiled with a
particular feature enabled: bit ``0x2000`` is set if the function was compiled
with future division enabled; bits ``0x10`` and ``0x1000`` were used in earlier
versions of Python.
Other bits in :attr:`co_flags` are reserved for internal use.
.. index:: single: documentation string
If a code object represents a function, the first item in :attr:`co_consts` is
the documentation string of the function, or ``None`` if undefined.
.. _frame-objects:
Frame objects
.. index:: object: frame
Frame objects represent execution frames. They may occur in traceback objects
(see below).
.. index::
single: f_back (frame attribute)
single: f_code (frame attribute)
single: f_globals (frame attribute)
single: f_locals (frame attribute)
single: f_lasti (frame attribute)
single: f_builtins (frame attribute)
single: f_restricted (frame attribute)
Special read-only attributes: :attr:`f_back` is to the previous stack frame
(towards the caller), or ``None`` if this is the bottom stack frame;
:attr:`f_code` is the code object being executed in this frame; :attr:`f_locals`
is the dictionary used to look up local variables; :attr:`f_globals` is used for
global variables; :attr:`f_builtins` is used for built-in (intrinsic) names;
:attr:`f_restricted` is a flag indicating whether the function is executing in
restricted execution mode; :attr:`f_lasti` gives the precise instruction (this
is an index into the bytecode string of the code object).
.. index::
single: f_trace (frame attribute)
single: f_exc_type (frame attribute)
single: f_exc_value (frame attribute)
single: f_exc_traceback (frame attribute)
single: f_lineno (frame attribute)
Special writable attributes: :attr:`f_trace`, if not ``None``, is a function
called at the start of each source code line (this is used by the debugger);
:attr:`f_exc_type`, :attr:`f_exc_value`, :attr:`f_exc_traceback` represent the
last exception raised in the parent frame provided another exception was ever
raised in the current frame (in all other cases they are ``None``); :attr:`f_lineno`
is the current line number of the frame --- writing to this from within a trace
function jumps to the given line (only for the bottom-most frame). A debugger
can implement a Jump command (aka Set Next Statement) by writing to f_lineno.
Traceback objects
.. index::
object: traceback
pair: stack; trace
pair: exception; handler
pair: execution; stack
single: exc_info (in module sys)
single: exc_traceback (in module sys)
single: last_traceback (in module sys)
single: sys.exc_info
single: sys.exc_traceback
single: sys.last_traceback
Traceback objects represent a stack trace of an exception. A traceback object
is created when an exception occurs. When the search for an exception handler
unwinds the execution stack, at each unwound level a traceback object is
inserted in front of the current traceback. When an exception handler is
entered, the stack trace is made available to the program. (See section
:ref:`try`.) It is accessible as ``sys.exc_traceback``,
and also as the third item of the tuple returned by ``sys.exc_info()``. The
latter is the preferred interface, since it works correctly when the program is
using multiple threads. When the program contains no suitable handler, the stack
trace is written (nicely formatted) to the standard error stream; if the
interpreter is interactive, it is also made available to the user as
``sys.last_traceback``.
.. index::
single: tb_next (traceback attribute)
single: tb_frame (traceback attribute)
single: tb_lineno (traceback attribute)
single: tb_lasti (traceback attribute)
statement: try
Special read-only attributes: :attr:`tb_next` is the next level in the stack
trace (towards the frame where the exception occurred), or ``None`` if there is
no next level; :attr:`tb_frame` points to the execution frame of the current
level; :attr:`tb_lineno` gives the line number where the exception occurred;
:attr:`tb_lasti` indicates the precise instruction. The line number and last
instruction in the traceback may differ from the line number of its frame object
if the exception occurred in a :keyword:`try` statement with no matching except
clause or with a finally clause.
Slice objects
.. index:: builtin: slice
Slice objects are used to represent slices when *extended slice syntax* is used.
This is a slice using two colons, or multiple slices or ellipses separated by
commas, e.g., ``a[i:j:step]``, ``a[i:j, k:l]``, or ``a[..., i:j]``. They are
also created by the built-in :func:`slice` function.
.. index::
single: start (slice object attribute)
single: stop (slice object attribute)
single: step (slice object attribute)
Special read-only attributes: :attr:`~slice.start` is the lower bound;
:attr:`~slice.stop` is the upper bound; :attr:`~slice.step` is the step
value; each is ``None`` if omitted. These attributes can have any type.
Slice objects support one method:
.. method:: slice.indices(self, length)
This method takes a single integer argument *length* and computes information
about the extended slice that the slice object would describe if applied to a
sequence of *length* items. It returns a tuple of three integers; respectively
these are the *start* and *stop* indices and the *step* or stride length of the
slice. Missing or out-of-bounds indices are handled in a manner consistent with
regular slices.
.. versionadded:: 2.3
Static method objects
Static method objects provide a way of defeating the transformation of function
objects to method objects described above. A static method object is a wrapper
around any other object, usually a user-defined method object. When a static
method object is retrieved from a class or a class instance, the object actually
returned is the wrapped object, which is not subject to any further
transformation. Static method objects are not themselves callable, although the
objects they wrap usually are. Static method objects are created by the built-in
:func:`staticmethod` constructor.
Class method objects
A class method object, like a static method object, is a wrapper around another
object that alters the way in which that object is retrieved from classes and
class instances. The behaviour of class method objects upon such retrieval is
described above, under "User-defined methods". Class method objects are created
by the built-in :func:`classmethod` constructor.
.. _newstyle:
New-style and classic classes
=============================
Classes and instances come in two flavors: old-style (or classic) and new-style.
Up to Python 2.1 the concept of ``class`` was unrelated to the concept of
``type``, and old-style classes were the only flavor available. For an
old-style class, the statement ``x.__class__`` provides the class of *x*, but
``type(x)`` is always ``<type 'instance'>``. This reflects the fact that all
old-style instances, independent of their class, are implemented with a single
built-in type, called ``instance``.
New-style classes were introduced in Python 2.2 to unify the concepts of
``class`` and ``type``. A new-style class is simply a user-defined type,
no more, no less. If *x* is an 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 practical
benefits, like the ability to subclass most built-in types, or the introduction
of "descriptors", which enable computed properties.
For compatibility reasons, classes are still old-style by default. New-style
classes are created by specifying another new-style class (i.e. a type) as a
parent class, or the "top-level type" :class:`object` if no other parent is
needed. The behaviour of new-style classes differs from that of old-style
classes in a number of important details in addition to what :func:`type`
returns. Some of these changes are fundamental to the new object model, like
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.
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 https://www.python.org/doc/newstyle/ for
sources of additional information.
.. index::
single: class; new-style
single: class; classic
single: class; old-style
Old-style classes are removed in Python 3, leaving only new-style classes.
.. _specialnames:
Special method names
====================
.. index::
pair: operator; overloading
single: __getitem__() (mapping object method)
A class can implement certain operations that are invoked by special syntax
(such as arithmetic operations or subscripting and slicing) by defining methods
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 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
object being modelled. For example, some sequences may work well with retrieval
of individual elements, but extracting a slice may not make sense. (One example
of this is the :class:`~xml.dom.NodeList` interface in the W3C's Document
Object Model.)
.. _customization:
Basic customization
-------------------
.. method:: object.__new__(cls[, ...])
.. index:: pair: subclassing; immutable types
Called to create a new instance of class *cls*. :meth:`__new__` is a static
method (special-cased so you need not declare it as such) that takes the class
of which an instance was requested as its first argument. The remaining
arguments are those passed to the object constructor expression (the call to the
class). The return value of :meth:`__new__` should be the new object instance
(usually an instance of *cls*).
Typical implementations create a new instance of the class by invoking the
superclass's :meth:`__new__` method using ``super(currentclass,
cls).__new__(cls[, ...])`` with appropriate arguments and then modifying the
newly-created instance as necessary before returning it.
If :meth:`__new__` returns an instance of *cls*, then the new instance's
:meth:`__init__` method will be invoked like ``__init__(self[, ...])``, where
*self* is the new instance and the remaining arguments are the same as were
passed to :meth:`__new__`.
If :meth:`__new__` does not return an instance of *cls*, then the new instance's
:meth:`__init__` method will not be invoked.
:meth:`__new__` is intended mainly to allow subclasses of immutable types (like
int, str, or tuple) to customize instance creation. It is also commonly
overridden in custom metaclasses in order to customize class creation.
.. method:: object.__init__(self[, ...])
.. index:: pair: class; constructor
Called after the instance has been created (by :meth:`__new__`), but before
it is returned to the caller. The arguments are those passed to the
class constructor expression. If a base class has an :meth:`__init__` method,
the derived class's :meth:`__init__` method, if any, must explicitly call it to
ensure proper initialization of the base class part of the instance; for
example: ``BaseClass.__init__(self, [args...])``.
Because :meth:`__new__` and :meth:`__init__` work together in constructing
objects (:meth:`__new__` to create it, and :meth:`__init__` to customise it),
no non-``None`` value may be returned by :meth:`__init__`; doing so will
cause a :exc:`TypeError` to be raised at runtime.
.. method:: object.__del__(self)
.. index::
single: destructor
statement: del
Called when the instance is about to be destroyed. This is also called a
destructor. If a base class has a :meth:`__del__` method, the derived class's
:meth:`__del__` method, if any, must explicitly call it to ensure proper
deletion of the base class part of the instance. Note that it is possible
(though not recommended!) for the :meth:`__del__` method to postpone destruction
of the instance by creating a new reference to it. It may then be called at a
later time when this new reference is deleted. It is not guaranteed that
:meth:`__del__` methods are called for objects that still exist when the
interpreter exits.
.. note::
``del x`` doesn't directly call ``x.__del__()`` --- the former decrements
the reference count for ``x`` by one, and the latter is only called when
``x``'s reference count reaches zero. Some common situations that may
prevent the reference count of an object from going to zero include:
circular references between objects (e.g., a doubly-linked list or a tree
data structure with parent and child pointers); a reference to the object
on the stack frame of a function that caught an exception (the traceback
stored in ``sys.exc_traceback`` keeps the stack frame alive); or a
reference to the object on the stack frame that raised an unhandled
exception in interactive mode (the traceback stored in
``sys.last_traceback`` keeps the stack frame alive). The first situation
can only be remedied by explicitly breaking the cycles; the latter two
situations can be resolved by storing ``None`` in ``sys.exc_traceback`` or
``sys.last_traceback``. Circular references which are garbage are
detected when the option cycle detector is enabled (it's on by default),
but can only be cleaned up if there are no Python-level :meth:`__del__`
methods involved. Refer to the documentation for the :mod:`gc` module for
more information about how :meth:`__del__` methods are handled by the
cycle detector, particularly the description of the ``garbage`` value.
.. warning::
Due to the precarious circumstances under which :meth:`__del__` methods are
invoked, exceptions that occur during their execution are ignored, and a warning
is printed to ``sys.stderr`` instead. Also, when :meth:`__del__` is invoked in
response to a module being deleted (e.g., when execution of the program is
done), other globals referenced by the :meth:`__del__` method may already have
been deleted or in the process of being torn down (e.g. the import
machinery shutting down). For this reason, :meth:`__del__` methods
should do the absolute
minimum needed to maintain external invariants. Starting with version 1.5,
Python guarantees that globals whose name begins with a single underscore are
deleted from their module before other globals are deleted; if no other
references to such globals exist, this may help in assuring that imported
modules are still available at the time when the :meth:`__del__` method is
called.
See also the :option:`-R` command-line option.
.. method:: object.__repr__(self)
.. index:: builtin: repr
Called by the :func:`repr` built-in function and by string conversions (reverse
quotes) to compute the "official" string representation of an object. If at all
possible, this should look like a valid Python expression that could be used to
recreate an object with the same value (given an appropriate environment). If
this is not possible, a string of the form ``<...some useful description...>``
should be returned. The return value must be a string object. If a class
defines :meth:`__repr__` but not :meth:`__str__`, then :meth:`__repr__` is also
used when an "informal" string representation of instances of that class is
required.
.. index::
pair: string; conversion
pair: reverse; quotes
pair: backward; quotes
single: back-quotes
This is typically used for debugging, so it is important that the representation
is information-rich and unambiguous.
.. method:: object.__str__(self)
.. index::
builtin: str
statement: print
Called by the :func:`str` built-in function and by the :keyword:`print`
statement to compute the "informal" string representation of an object. This
differs from :meth:`__repr__` in that it does not have to be a valid Python
expression: a more convenient or concise representation may be used instead.
The return value must be a string object.
.. method:: object.__lt__(self, other)
object.__le__(self, other)
object.__eq__(self, other)
object.__ne__(self, other)
object.__gt__(self, other)
object.__ge__(self, other)
.. versionadded:: 2.1
.. index::
single: comparisons
These are the so-called "rich comparison" methods, and are called for comparison
operators in preference to :meth:`__cmp__` below. The correspondence between
operator symbols and method names is as follows: ``x<y`` calls ``x.__lt__(y)``,
``x<=y`` calls ``x.__le__(y)``, ``x==y`` calls ``x.__eq__(y)``, ``x!=y`` and
``x<>y`` call ``x.__ne__(y)``, ``x>y`` calls ``x.__gt__(y)``, and ``x>=y`` calls
``x.__ge__(y)``.
A rich comparison method may return the singleton ``NotImplemented`` if it does
not implement the operation for a given pair of arguments. By convention,
``False`` and ``True`` are returned for a successful comparison. However, these
methods can return any value, so if the comparison operator is used in a Boolean
context (e.g., in the condition of an ``if`` statement), Python will call
:func:`bool` on the value to determine if the result is true or false.
There are no implied relationships among the comparison operators. The truth
of ``x==y`` does not imply that ``x!=y`` is false. Accordingly, when
defining :meth:`__eq__`, one should also define :meth:`__ne__` so that the
operators will behave as expected. See the paragraph on :meth:`__hash__` for
some important notes on creating :term:`hashable` objects which support
custom comparison operations and are usable as dictionary keys.
There are no swapped-argument versions of these methods (to be used when the
left argument does not support the operation but the right argument does);
rather, :meth:`__lt__` and :meth:`__gt__` are each other's reflection,
:meth:`__le__` and :meth:`__ge__` are each other's reflection, and
:meth:`__eq__` and :meth:`__ne__` are their own reflection.
Arguments to rich comparison methods are never coerced.
To automatically generate ordering operations from a single root operation,
see :func:`functools.total_ordering`.
.. method:: object.__cmp__(self, other)
.. index::
builtin: cmp
single: comparisons
Called by comparison operations if rich comparison (see above) is not
defined. Should return a negative integer if ``self < other``, zero if
``self == other``, a positive integer if ``self > other``. If no
:meth:`__cmp__`, :meth:`__eq__` or :meth:`__ne__` operation is defined, class
instances are compared by object identity ("address"). See also the
description of :meth:`__hash__` for some important notes on creating
:term:`hashable` objects which support custom comparison operations and are
usable as dictionary keys. (Note: the restriction that exceptions are not
propagated by :meth:`__cmp__` has been removed since Python 1.5.)
.. method:: object.__rcmp__(self, other)
.. versionchanged:: 2.1
No longer supported.
.. method:: object.__hash__(self)
.. index::
object: dictionary
builtin: hash
Called by built-in function :func:`hash` and for operations on members of
hashed collections including :class:`set`, :class:`frozenset`, and
:class:`dict`. :meth:`__hash__` should return an integer. The only required
property is that objects which compare equal have the same hash value; it is
advised to mix together the hash values of the components of the object that
also play a part in comparison of objects by packing them into a tuple and
hashing the tuple. Example::
def __hash__(self):
return hash((self.name, self.nick, self.color))
If a class does not define a :meth:`__cmp__` or :meth:`__eq__` method it
should not define a :meth:`__hash__` operation either; if it defines
:meth:`__cmp__` or :meth:`__eq__` but not :meth:`__hash__`, its instances
will not be usable in hashed collections. If a class defines mutable objects
and implements a :meth:`__cmp__` or :meth:`__eq__` method, it should not
implement :meth:`__hash__`, since hashable collection implementations require
that an object's hash value is immutable (if the object's hash value changes,
it will be in the wrong hash bucket).
User-defined classes have :meth:`__cmp__` and :meth:`__hash__` methods
by default; with them, all objects compare unequal (except with themselves)
and ``x.__hash__()`` returns a result derived from ``id(x)``.
Classes which inherit a :meth:`__hash__` method from a parent class but
change the meaning of :meth:`__cmp__` or :meth:`__eq__` such that the hash
value returned is no longer appropriate (e.g. by switching to a value-based
concept of equality instead of the default identity based equality) can
explicitly flag themselves as being unhashable by setting ``__hash__ = None``
in the class definition. Doing so means that not only will instances of the
class raise an appropriate :exc:`TypeError` when a program attempts to
retrieve their hash value, but they will also be correctly identified as
unhashable when checking ``isinstance(obj, collections.Hashable)`` (unlike
classes which define their own :meth:`__hash__` to explicitly raise
:exc:`TypeError`).
.. versionchanged:: 2.5
:meth:`__hash__` may now also return a long integer object; the 32-bit
integer is then derived from the hash of that object.
.. versionchanged:: 2.6
:attr:`__hash__` may now be set to :const:`None` to explicitly flag
instances of a class as unhashable.
.. method:: object.__nonzero__(self)
.. index:: single: __len__() (mapping object method)
Called to implement truth value testing and the built-in operation ``bool()``;
should return ``False`` or ``True``, or their integer equivalents ``0`` or
``1``. When this method is not defined, :meth:`__len__` is called, if it is
defined, and the object is considered true if its result is nonzero.
If a class defines neither :meth:`__len__` nor :meth:`__nonzero__`, all its
instances are considered true.
.. method:: object.__unicode__(self)
.. index:: builtin: unicode
Called to implement :func:`unicode` built-in; should return a Unicode object.
When this method is not defined, string conversion is attempted, and the result
of string conversion is converted to Unicode using the system default encoding.
.. _attribute-access:
Customizing attribute access
----------------------------
The following methods can be defined to customize the meaning of attribute
access (use of, assignment to, or deletion of ``x.name``) for class instances.
.. method:: object.__getattr__(self, name)
Called when an attribute lookup has not found the attribute in the usual places
(i.e. it is not an instance attribute nor is it found in the class tree for
``self``). ``name`` is the attribute name. This method should return the
(computed) attribute value or raise an :exc:`AttributeError` exception.
.. index:: single: __setattr__() (object method)
Note that if the attribute is found through the normal mechanism,
:meth:`__getattr__` is not called. (This is an intentional asymmetry between
:meth:`__getattr__` and :meth:`__setattr__`.) This is done both for efficiency
reasons and because otherwise :meth:`__getattr__` would have no way to access
other attributes of the instance. Note that at least for instance variables,
you can fake total control by not inserting any values in the instance attribute
dictionary (but instead inserting them in another object). See the
:meth:`__getattribute__` method below for a way to actually get total control in
new-style classes.
.. method:: object.__setattr__(self, name, value)
Called when an attribute assignment is attempted. This is called instead of the
normal mechanism (i.e. store the value in the instance dictionary). *name* is
the attribute name, *value* is the value to be assigned to it.
.. index:: single: __dict__ (instance attribute)
If :meth:`__setattr__` wants to assign to an instance attribute, it should not
simply execute ``self.name = value`` --- this would cause a recursive call to
itself. Instead, it should insert the value in the dictionary of instance
attributes, e.g., ``self.__dict__[name] = value``. For new-style classes,
rather than accessing the instance dictionary, it should call the base class
method with the same name, for example, ``object.__setattr__(self, name,
value)``.
.. method:: object.__delattr__(self, name)
Like :meth:`__setattr__` but for attribute deletion instead of assignment. This
should only be implemented if ``del obj.name`` is meaningful for the object.
.. _new-style-attribute-access:
More attribute access for new-style classes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The following methods only apply to new-style classes.
.. method:: object.__getattribute__(self, name)
Called unconditionally to implement attribute accesses for instances of the
class. If the class also defines :meth:`__getattr__`, the latter will not be
called unless :meth:`__getattribute__` either calls it explicitly or raises an
:exc:`AttributeError`. This method should return the (computed) attribute value
or raise an :exc:`AttributeError` exception. In order to avoid infinite
recursion in this method, its implementation should always call the base class
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 built-in functions.
See :ref:`new-style-special-lookup`.
.. _descriptors:
Implementing Descriptors
^^^^^^^^^^^^^^^^^^^^^^^^
The following methods only apply when an instance of the class containing the
method (a so-called *descriptor* class) appears in an *owner* class (the
descriptor must be in either the owner's class dictionary or in the class
dictionary for one of its parents). In the examples below, "the attribute"
refers to the attribute whose name is the key of the property in the owner
class' :attr:`~object.__dict__`.
.. method:: object.__get__(self, instance, owner)
Called to get the attribute of the owner class (class attribute access) or of an
instance of that class (instance attribute access). *owner* is always the owner
class, while *instance* is the instance that the attribute was accessed through,
or ``None`` when the attribute is accessed through the *owner*. This method
should return the (computed) attribute value or raise an :exc:`AttributeError`
exception.
.. method:: object.__set__(self, instance, value)
Called to set the attribute on an instance *instance* of the owner class to a
new value, *value*.
.. method:: object.__delete__(self, instance)
Called to delete the attribute on an instance *instance* of the owner class.
.. _descriptor-invocation:
Invoking Descriptors
^^^^^^^^^^^^^^^^^^^^
In general, a descriptor is an object attribute with "binding behavior", one
whose attribute access has been overridden by methods in the descriptor
protocol: :meth:`__get__`, :meth:`__set__`, and :meth:`__delete__`. If any of
those methods are defined for an object, it is said to be a descriptor.
The default behavior for attribute access is to get, set, or delete the
attribute from an object's dictionary. For instance, ``a.x`` has a lookup chain
starting with ``a.__dict__['x']``, then ``type(a).__dict__['x']``, and
continuing through the base classes of ``type(a)`` excluding metaclasses.
However, if the looked-up value is an object defining one of the descriptor
methods, then Python may override the default behavior and invoke the descriptor
method instead. Where this occurs in the precedence chain depends on which
descriptor methods were defined and how they were called. Note that descriptors
are only invoked for new style objects or classes (ones that subclass
:class:`object()` or :class:`type()`).
The starting point for descriptor invocation is a binding, ``a.x``. How the
arguments are assembled depends on ``a``:
Direct Call
The simplest and least common call is when user code directly invokes a
descriptor method: ``x.__get__(a)``.
Instance Binding
If binding to a new-style object instance, ``a.x`` is transformed into the call:
``type(a).__dict__['x'].__get__(a, type(a))``.
Class Binding
If binding to a new-style class, ``A.x`` is transformed into the call:
``A.__dict__['x'].__get__(None, A)``.
Super Binding
If ``a`` is an instance of :class:`super`, then the binding ``super(B,
obj).m()`` searches ``obj.__class__.__mro__`` for the base class ``A``
immediately preceding ``B`` and then invokes the descriptor with the call:
``A.__dict__['m'].__get__(obj, obj.__class__)``.
For instance bindings, the precedence of descriptor invocation depends on the
which descriptor methods are defined. A descriptor can define any combination
of :meth:`__get__`, :meth:`__set__` and :meth:`__delete__`. If it does not
define :meth:`__get__`, then accessing the attribute will return the descriptor
object itself unless there is a value in the object's instance dictionary. If
the descriptor defines :meth:`__set__` and/or :meth:`__delete__`, it is a data
descriptor; if it defines neither, it is a non-data descriptor. Normally, data
descriptors define both :meth:`__get__` and :meth:`__set__`, while non-data
descriptors have just the :meth:`__get__` method. Data descriptors with
:meth:`__set__` and :meth:`__get__` defined always override a redefinition in an
instance dictionary. In contrast, non-data descriptors can be overridden by
instances.
Python methods (including :func:`staticmethod` and :func:`classmethod`) are
implemented as non-data descriptors. Accordingly, instances can redefine and
override methods. This allows individual instances to acquire behaviors that
differ from other instances of the same class.
The :func:`property` function is implemented as a data descriptor. Accordingly,
instances cannot override the behavior of a property.
.. _slots:
__slots__
^^^^^^^^^
By default, instances of both old and new-style classes have a dictionary for
attribute storage. This wastes space for objects having very few instance
variables. The space consumption can become acute when creating large numbers
of instances.
The default can be overridden by defining *__slots__* in a new-style class
definition. The *__slots__* declaration takes a sequence of instance variables
and reserves just enough space in each instance to hold a value for each
variable. Space is saved because *__dict__* is not created for each instance.
.. data:: __slots__
This class variable can be assigned a string, iterable, or sequence of strings
with variable names used by instances. If defined in a new-style class,
*__slots__* reserves space for the declared variables and prevents the automatic
creation of *__dict__* and *__weakref__* for each instance.
.. versionadded:: 2.2
Notes on using *__slots__*
* When inheriting from a class without *__slots__*, the *__dict__* attribute of
that class will always be accessible, so a *__slots__* definition in the
subclass is meaningless.
* Without a *__dict__* variable, instances cannot be assigned new variables not
listed in the *__slots__* definition. Attempts to assign to an unlisted
variable name raises :exc:`AttributeError`. If dynamic assignment of new
variables is desired, then add ``'__dict__'`` to the sequence of strings in the
*__slots__* declaration.
.. versionchanged:: 2.3
Previously, adding ``'__dict__'`` to the *__slots__* declaration would not
enable the assignment of new attributes not specifically listed in the sequence
of instance variable names.
* Without a *__weakref__* variable for each instance, classes defining
*__slots__* do not support weak references to its instances. If weak reference
support is needed, then add ``'__weakref__'`` to the sequence of strings in the
*__slots__* declaration.
.. versionchanged:: 2.3
Previously, adding ``'__weakref__'`` to the *__slots__* declaration would not
enable support for weak references.
* *__slots__* are implemented at the class level by creating descriptors
(:ref:`descriptors`) for each variable name. As a result, class attributes
cannot be used to set default values for instance variables defined by
*__slots__*; otherwise, the class attribute would overwrite the descriptor
assignment.
* The action of a *__slots__* declaration is limited to the class where it is
defined. As a result, subclasses will have a *__dict__* unless they also define
*__slots__* (which must only contain names of any *additional* slots).
* If a class defines a slot also defined in a base class, the instance variable
defined by the base class slot is inaccessible (except by retrieving its
descriptor directly from the base class). This renders the meaning of the
program undefined. In the future, a check may be added to prevent this.
* Nonempty *__slots__* does not work for classes derived from "variable-length"
built-in types such as :class:`long`, :class:`str` and :class:`tuple`.
* Any non-string iterable may be assigned to *__slots__*. Mappings may also be
used; however, in the future, special meaning may be assigned to the values
corresponding to each key.
* *__class__* assignment works only if both classes have the same *__slots__*.
.. versionchanged:: 2.6
Previously, *__class__* assignment raised an error if either new or old class
had *__slots__*.
.. _metaclasses:
Customizing class creation
--------------------------
By default, new-style classes are constructed using :func:`type`. A class
definition is read into a separate namespace and the value of class name is
bound to the result of ``type(name, bases, dict)``.
When the class definition is read, if *__metaclass__* is defined then the
callable assigned to it will be called instead of :func:`type`. This allows
classes or functions to be written which monitor or alter the class creation
process:
* Modifying the class dictionary prior to the class being created.
* Returning an instance of another class -- essentially performing the role of a
factory function.
These steps will have to be performed in the metaclass's :meth:`__new__` method
-- :meth:`type.__new__` can then be called from this method to create a class
with different properties. This example adds a new element to the class
dictionary before creating the class::
class metacls(type):
def __new__(mcs, name, bases, dict):
dict['foo'] = 'metacls was here'
return type.__new__(mcs, name, bases, dict)
You can of course also override other class methods (or add new methods); for
example defining a custom :meth:`__call__` method in the metaclass allows custom
behavior when the class is called, e.g. not always creating a new instance.
.. data:: __metaclass__
This variable can be any callable accepting arguments for ``name``, ``bases``,
and ``dict``. Upon class creation, the callable is used instead of the built-in
:func:`type`.
.. versionadded:: 2.2
The appropriate metaclass is determined by the following precedence rules:
* If ``dict['__metaclass__']`` exists, it is used.
* Otherwise, if there is at least one base class, its metaclass is used (this
looks for a *__class__* attribute first and if not found, uses its type).
* Otherwise, if a global variable named __metaclass__ exists, it is used.
* Otherwise, the old-style, classic metaclass (types.ClassType) is used.
The potential uses for metaclasses are boundless. Some ideas that have been
explored including logging, interface checking, automatic delegation, automatic
property creation, proxies, frameworks, and automatic resource
locking/synchronization.
Customizing instance and subclass checks
----------------------------------------
.. versionadded:: 2.6
The following methods are used to override the default behavior of the
:func:`isinstance` and :func:`issubclass` built-in functions.
In particular, the metaclass :class:`abc.ABCMeta` implements these methods in
order to allow the addition of Abstract Base Classes (ABCs) as "virtual base
classes" to any class or type (including built-in types), including other
ABCs.
.. method:: class.__instancecheck__(self, instance)
Return true if *instance* should be considered a (direct or indirect)
instance of *class*. If defined, called to implement ``isinstance(instance,
class)``.
.. method:: class.__subclasscheck__(self, subclass)
Return true if *subclass* should be considered a (direct or indirect)
subclass of *class*. If defined, called to implement ``issubclass(subclass,
class)``.
Note that these methods are looked up on the type (metaclass) of a class. They
cannot be defined as class methods in the actual class. This is consistent with
the lookup of special methods that are called on instances, only in this
case the instance is itself a class.
.. seealso::
:pep:`3119` - Introducing Abstract Base Classes
Includes the specification for customizing :func:`isinstance` and
:func:`issubclass` behavior through :meth:`~class.__instancecheck__` and
:meth:`~class.__subclasscheck__`, with motivation for this functionality
in the context of adding Abstract Base Classes (see the :mod:`abc`
module) to the language.
.. _callable-types:
Emulating callable objects
--------------------------
.. method:: object.__call__(self[, args...])
.. index:: pair: call; instance
Called when the instance is "called" as a function; if this method is defined,
``x(arg1, arg2, ...)`` is a shorthand for ``x.__call__(arg1, arg2, ...)``.
.. _sequence-types:
Emulating container types
-------------------------
The following methods can be defined to implement container objects. Containers
usually are sequences (such as lists or tuples) or mappings (like dictionaries),
but can represent other containers as well. The first set of methods is used
either to emulate a sequence or to emulate a mapping; the difference is that for
a sequence, the allowable keys should be the integers *k* for which ``0 <= k <
N`` where *N* is the length of the sequence, or slice objects, which define a
range of items. (For backwards compatibility, the method :meth:`__getslice__`
(see below) can also be defined to handle simple, but not extended slices.) It
is also recommended that mappings provide the methods :meth:`keys`,
:meth:`values`, :meth:`items`, :meth:`has_key`, :meth:`get`, :meth:`clear`,
:meth:`setdefault`, :meth:`iterkeys`, :meth:`itervalues`, :meth:`iteritems`,
:meth:`pop`, :meth:`popitem`, :meth:`!copy`, and :meth:`update` behaving similar
to those for Python's standard dictionary objects. The :mod:`UserDict` module
provides a :class:`DictMixin` class to help create those methods from a base set
of :meth:`__getitem__`, :meth:`__setitem__`, :meth:`__delitem__`, and
:meth:`keys`. Mutable sequences should provide methods :meth:`append`,
:meth:`count`, :meth:`index`, :meth:`extend`, :meth:`insert`, :meth:`pop`,
:meth:`remove`, :meth:`reverse` and :meth:`sort`, like Python standard list
objects. Finally, sequence types should implement addition (meaning
concatenation) and multiplication (meaning repetition) by defining the methods
:meth:`__add__`, :meth:`__radd__`, :meth:`__iadd__`, :meth:`__mul__`,
:meth:`__rmul__` and :meth:`__imul__` described below; they should not define
:meth:`__coerce__` or other numerical operators. It is recommended that both
mappings and sequences implement the :meth:`__contains__` method to allow
efficient use of the ``in`` operator; for mappings, ``in`` should be equivalent
of :meth:`has_key`; for sequences, it should search through the values. It is
further recommended that both mappings and sequences implement the
:meth:`__iter__` method to allow efficient iteration through the container; for
mappings, :meth:`__iter__` should be the same as :meth:`iterkeys`; for
sequences, it should iterate through the values.
.. method:: object.__len__(self)
.. index::
builtin: len
single: __nonzero__() (object method)
Called to implement the built-in function :func:`len`. Should return the length
of the object, an integer ``>=`` 0. Also, an object that doesn't define a
:meth:`__nonzero__` method and whose :meth:`__len__` method returns zero is
considered to be false in a Boolean context.
.. impl-detail::
In CPython, the length is required to be at most :attr:`sys.maxsize`.
If the length is larger than :attr:`!sys.maxsize` some features (such as
:func:`len`) may raise :exc:`OverflowError`. To prevent raising
:exc:`!OverflowError` by truth value testing, an object must define a
:meth:`__nonzero__` method.
.. method:: object.__getitem__(self, key)
.. index:: object: slice
Called to implement evaluation of ``self[key]``. For sequence types, the
accepted keys should be integers and slice objects. Note that the special
interpretation of negative indexes (if the class wishes to emulate a sequence
type) is up to the :meth:`__getitem__` method. If *key* is of an inappropriate
type, :exc:`TypeError` may be raised; if of a value outside the set of indexes
for the sequence (after any special interpretation of negative values),
:exc:`IndexError` should be raised. For mapping types, if *key* is missing (not
in the container), :exc:`KeyError` should be raised.
.. note::
:keyword:`for` loops expect that an :exc:`IndexError` will be raised for illegal
indexes to allow proper detection of the end of the sequence.
.. method:: object.__missing__(self, key)
Called by :class:`dict`\ .\ :meth:`__getitem__` to implement ``self[key]`` for dict subclasses
when key is not in the dictionary.
.. method:: object.__setitem__(self, key, value)
Called to implement assignment to ``self[key]``. Same note as for
:meth:`__getitem__`. This should only be implemented for mappings if the
objects support changes to the values for keys, or if new keys can be added, or
for sequences if elements can be replaced. The same exceptions should be raised
for improper *key* values as for the :meth:`__getitem__` method.
.. method:: object.__delitem__(self, key)
Called to implement deletion of ``self[key]``. Same note as for
:meth:`__getitem__`. This should only be implemented for mappings if the
objects support removal of keys, or for sequences if elements can be removed
from the sequence. The same exceptions should be raised for improper *key*
values as for the :meth:`__getitem__` method.
.. method:: object.__iter__(self)
This method is called when an iterator is required for a container. This method
should return a new iterator object that can iterate over all the objects in the
container. For mappings, it should iterate over the keys of the container, and
should also be made available as the method :meth:`iterkeys`.
Iterator objects also need to implement this method; they are required to return
themselves. For more information on iterator objects, see :ref:`typeiter`.
.. method:: object.__reversed__(self)
Called (if present) by the :func:`reversed` built-in to implement
reverse iteration. It should return a new iterator object that iterates
over all the objects in the container in reverse order.
If the :meth:`__reversed__` method is not provided, the :func:`reversed`
built-in will fall back to using the sequence protocol (:meth:`__len__` and
:meth:`__getitem__`). Objects that support the sequence protocol should
only provide :meth:`__reversed__` if they can provide an implementation
that is more efficient than the one provided by :func:`reversed`.
.. versionadded:: 2.6
The membership test operators (:keyword:`in` and :keyword:`not in`) are normally
implemented as an iteration through a sequence. However, container objects can
supply the following special method with a more efficient implementation, which
also does not require the object be a sequence.
.. method:: object.__contains__(self, item)
Called to implement membership test operators. Should return true if *item*
is in *self*, false otherwise. For mapping objects, this should consider the
keys of the mapping rather than the values or the key-item pairs.
For objects that don't define :meth:`__contains__`, the membership test first
tries iteration via :meth:`__iter__`, then the old sequence iteration
protocol via :meth:`__getitem__`, see :ref:`this section in the language
reference <membership-test-details>`.
.. _sequence-methods:
Additional methods for emulation of sequence types
--------------------------------------------------
The following optional methods can be defined to further emulate sequence
objects. Immutable sequences methods should at most only define
:meth:`__getslice__`; mutable sequences might define all three methods.
.. method:: object.__getslice__(self, i, j)
.. deprecated:: 2.0
Support slice objects as parameters to the :meth:`__getitem__` method.
(However, built-in types in CPython currently still implement
:meth:`__getslice__`. Therefore, you have to override it in derived
classes when implementing slicing.)
Called to implement evaluation of ``self[i:j]``. The returned object should
be of the same type as *self*. Note that missing *i* or *j* in the slice
expression are replaced by zero or :attr:`sys.maxsize`, respectively. If
negative indexes are used in the slice, the length of the sequence is added
to that index. If the instance does not implement the :meth:`__len__` method,
an :exc:`AttributeError` is raised. No guarantee is made that indexes
adjusted this way are not still negative. Indexes which are greater than the
length of the sequence are not modified. If no :meth:`__getslice__` is found,
a slice object is created instead, and passed to :meth:`__getitem__` instead.
.. method:: object.__setslice__(self, i, j, sequence)
Called to implement assignment to ``self[i:j]``. Same notes for *i* and *j* as
for :meth:`__getslice__`.
This method is deprecated. If no :meth:`__setslice__` is found, or for extended
slicing of the form ``self[i:j:k]``, a slice object is created, and passed to
:meth:`__setitem__`, instead of :meth:`__setslice__` being called.
.. method:: object.__delslice__(self, i, j)
Called to implement deletion of ``self[i:j]``. Same notes for *i* and *j* as for
:meth:`__getslice__`. This method is deprecated. If no :meth:`__delslice__` is
found, or for extended slicing of the form ``self[i:j:k]``, a slice object is
created, and passed to :meth:`__delitem__`, instead of :meth:`__delslice__`
being called.
Notice that these methods are only invoked when a single slice with a single
colon is used, and the slice method is available. For slice operations
involving extended slice notation, or in absence of the slice methods,
:meth:`__getitem__`, :meth:`__setitem__` or :meth:`__delitem__` is called with a
slice object as argument.
The following example demonstrate how to make your program or module compatible
with earlier versions of Python (assuming that methods :meth:`__getitem__`,
:meth:`__setitem__` and :meth:`__delitem__` support slice objects as
arguments)::
class MyClass:
...
def __getitem__(self, index):
...
def __setitem__(self, index, value):
...
def __delitem__(self, index):
...
if sys.version_info < (2, 0):
# They won't be defined if version is at least 2.0 final
def __getslice__(self, i, j):
return self[max(0, i):max(0, j):]
def __setslice__(self, i, j, seq):
self[max(0, i):max(0, j):] = seq
def __delslice__(self, i, j):
del self[max(0, i):max(0, j):]
...
Note the calls to :func:`max`; these are necessary because of the handling of
negative indices before the :meth:`__\*slice__` methods are called. When
negative indexes are used, the :meth:`__\*item__` methods receive them as
provided, but the :meth:`__\*slice__` methods get a "cooked" form of the index
values. For each negative index value, the length of the sequence is added to
the index before calling the method (which may still result in a negative
index); this is the customary handling of negative indexes by the built-in
sequence types, and the :meth:`__\*item__` methods are expected to do this as
well. However, since they should already be doing that, negative indexes cannot
be passed in; they must be constrained to the bounds of the sequence before
being passed to the :meth:`__\*item__` methods. Calling ``max(0, i)``
conveniently returns the proper value.
.. _numeric-types:
Emulating numeric types
-----------------------
The following methods can be defined to emulate numeric objects. Methods
corresponding to operations that are not supported by the particular kind of
number implemented (e.g., bitwise operations for non-integral numbers) should be
left undefined.
.. method:: object.__add__(self, other)
object.__sub__(self, other)
object.__mul__(self, other)
object.__floordiv__(self, other)
object.__mod__(self, other)
object.__divmod__(self, other)
object.__pow__(self, other[, modulo])
object.__lshift__(self, other)
object.__rshift__(self, other)
object.__and__(self, other)
object.__xor__(self, other)
object.__or__(self, other)
.. index::
builtin: divmod
builtin: pow
builtin: pow
These methods are called to implement the binary arithmetic operations (``+``,
``-``, ``*``, ``//``, ``%``, :func:`divmod`, :func:`pow`, ``**``, ``<<``,
``>>``, ``&``, ``^``, ``|``). For instance, to evaluate the expression
``x + y``, where *x* is an instance of a class that has an :meth:`__add__`
method, ``x.__add__(y)`` is called. The :meth:`__divmod__` method should be the
equivalent to using :meth:`__floordiv__` and :meth:`__mod__`; it should not be
related to :meth:`__truediv__` (described below). Note that :meth:`__pow__`
should be defined to accept an optional third argument if the ternary version of
the built-in :func:`pow` function is to be supported.
If one of those methods does not support the operation with the supplied
arguments, it should return ``NotImplemented``.
.. method:: object.__div__(self, other)
object.__truediv__(self, other)
The division operator (``/``) is implemented by these methods. The
:meth:`__truediv__` method is used when ``__future__.division`` is in effect,
otherwise :meth:`__div__` is used. If only one of these two methods is defined,
the object will not support division in the alternate context; :exc:`TypeError`
will be raised instead.
.. method:: object.__radd__(self, other)
object.__rsub__(self, other)
object.__rmul__(self, other)
object.__rdiv__(self, other)
object.__rtruediv__(self, other)
object.__rfloordiv__(self, other)
object.__rmod__(self, other)
object.__rdivmod__(self, other)
object.__rpow__(self, other)
object.__rlshift__(self, other)
object.__rrshift__(self, other)
object.__rand__(self, other)
object.__rxor__(self, other)
object.__ror__(self, other)
.. index::
builtin: divmod
builtin: pow
These methods are called to implement the binary arithmetic operations (``+``,
``-``, ``*``, ``/``, ``%``, :func:`divmod`, :func:`pow`, ``**``, ``<<``, ``>>``,
``&``, ``^``, ``|``) with reflected (swapped) operands. These functions are
only called if the left operand does not support the corresponding operation and
the operands are of different types. [#]_ For instance, to evaluate the
expression ``x - y``, where *y* is an instance of a class that has an
:meth:`__rsub__` method, ``y.__rsub__(x)`` is called if ``x.__sub__(y)`` returns
*NotImplemented*.
.. index:: builtin: pow
Note that ternary :func:`pow` will not try calling :meth:`__rpow__` (the
coercion rules would become too complicated).
.. note::
If the right operand's type is a subclass of the left operand's type and that
subclass provides the reflected method for the operation, this method will be
called before the left operand's non-reflected method. This behavior allows
subclasses to override their ancestors' operations.
.. method:: object.__iadd__(self, other)
object.__isub__(self, other)
object.__imul__(self, other)
object.__idiv__(self, other)
object.__itruediv__(self, other)
object.__ifloordiv__(self, other)
object.__imod__(self, other)
object.__ipow__(self, other[, modulo])
object.__ilshift__(self, other)
object.__irshift__(self, other)
object.__iand__(self, other)
object.__ixor__(self, other)
object.__ior__(self, other)
These methods are called to implement the augmented arithmetic assignments
(``+=``, ``-=``, ``*=``, ``/=``, ``//=``, ``%=``, ``**=``, ``<<=``, ``>>=``,
``&=``, ``^=``, ``|=``). These methods should attempt to do the operation
in-place (modifying *self*) and return the result (which could be, but does
not have to be, *self*). If a specific method is not defined, the augmented
assignment falls back to the normal methods. For instance, to execute the
statement ``x += y``, where *x* is an instance of a class that has an
:meth:`__iadd__` method, ``x.__iadd__(y)`` is called. If *x* is an instance
of a class that does not define a :meth:`__iadd__` method, ``x.__add__(y)``
and ``y.__radd__(x)`` are considered, as with the evaluation of ``x + y``.
.. method:: object.__neg__(self)
object.__pos__(self)
object.__abs__(self)
object.__invert__(self)
.. index:: builtin: abs
Called to implement the unary arithmetic operations (``-``, ``+``, :func:`abs`
and ``~``).
.. method:: object.__complex__(self)
object.__int__(self)
object.__long__(self)
object.__float__(self)
.. index::
builtin: complex
builtin: int
builtin: long
builtin: float
Called to implement the built-in functions :func:`complex`, :func:`int`,
:func:`long`, and :func:`float`. Should return a value of the appropriate type.
.. method:: object.__oct__(self)
object.__hex__(self)
.. index::
builtin: oct
builtin: hex
Called to implement the built-in functions :func:`oct` and :func:`hex`. Should
return a string value.
.. method:: object.__index__(self)
Called to implement :func:`operator.index`. Also called whenever Python needs
an integer object (such as in slicing). Must return an integer (int or long).
.. versionadded:: 2.5
.. method:: object.__coerce__(self, other)
Called to implement "mixed-mode" numeric arithmetic. Should either return a
2-tuple containing *self* and *other* converted to a common numeric type, or
``None`` if conversion is impossible. When the common type would be the type of
``other``, it is sufficient to return ``None``, since the interpreter will also
ask the other object to attempt a coercion (but sometimes, if the implementation
of the other type cannot be changed, it is useful to do the conversion to the
other type here). A return value of ``NotImplemented`` is equivalent to
returning ``None``.
.. _coercion-rules:
Coercion rules
--------------
This section used to document the rules for coercion. As the language has
evolved, the coercion rules have become hard to document precisely; documenting
what one version of one particular implementation does is undesirable. Instead,
here are some informal guidelines regarding coercion. In Python 3, coercion
will not be supported.
*
If the left operand of a % operator is a string or Unicode object, no coercion
takes place and the string formatting operation is invoked instead.
*
It is no longer recommended to define a coercion operation. Mixed-mode
operations on types that don't define coercion pass the original arguments to
the operation.
*
New-style classes (those derived from :class:`object`) never invoke the
:meth:`__coerce__` method in response to a binary operator; the only time
:meth:`__coerce__` is invoked is when the built-in function :func:`coerce` is
called.
*
For most intents and purposes, an operator that returns ``NotImplemented`` is
treated the same as one that is not implemented at all.
*
Below, :meth:`__op__` and :meth:`__rop__` are used to signify the generic method
names corresponding to an operator; :meth:`__iop__` is used for the
corresponding in-place operator. For example, for the operator '``+``',
:meth:`__add__` and :meth:`__radd__` are used for the left and right variant of
the binary operator, and :meth:`__iadd__` for the in-place variant.
*
For objects *x* and *y*, first ``x.__op__(y)`` is tried. If this is not
implemented or returns ``NotImplemented``, ``y.__rop__(x)`` is tried. If this
is also not implemented or returns ``NotImplemented``, a :exc:`TypeError`
exception is raised. But see the following exception:
*
Exception to the previous item: if the left operand is an instance of a built-in
type or a new-style class, and the right operand is an instance of a proper
subclass of that type or class and overrides the base's :meth:`__rop__` method,
the right operand's :meth:`__rop__` method is tried *before* the left operand's
:meth:`__op__` method.
This is done so that a subclass can completely override binary operators.
Otherwise, the left operand's :meth:`__op__` method would always accept the
right operand: when an instance of a given class is expected, an instance of a
subclass of that class is always acceptable.
*
When either operand type defines a coercion, this coercion is called before that
type's :meth:`__op__` or :meth:`__rop__` method is called, but no sooner. If
the coercion returns an object of a different type for the operand whose
coercion is invoked, part of the process is redone using the new object.
*
When an in-place operator (like '``+=``') is used, if the left operand
implements :meth:`__iop__`, it is invoked without any coercion. When the
operation falls back to :meth:`__op__` and/or :meth:`__rop__`, the normal
coercion rules apply.
*
In ``x + y``, if *x* is a sequence that implements sequence concatenation,
sequence concatenation is invoked.
*
In ``x * y``, if one operand is a sequence that implements sequence
repetition, and the other is an integer (:class:`int` or :class:`long`),
sequence repetition is invoked.
*
Rich comparisons (implemented by methods :meth:`__eq__` and so on) never use
coercion. Three-way comparison (implemented by :meth:`__cmp__`) does use
coercion under the same conditions as other binary operations use it.
*
In the current implementation, the built-in numeric types :class:`int`,
:class:`long`, :class:`float`, and :class:`complex` do not use coercion.
All these types implement a :meth:`__coerce__` method, for use by the built-in
:func:`coerce` function.
.. versionchanged:: 2.7
The complex type no longer makes implicit calls to the :meth:`__coerce__`
method for mixed-type binary arithmetic operations.
.. _context-managers:
With Statement Context Managers
-------------------------------
.. versionadded:: 2.5
A :dfn:`context manager` is an object that defines the runtime context to be
established when executing a :keyword:`with` statement. The context manager
handles the entry into, and the exit from, the desired runtime context for the
execution of the block of code. Context managers are normally invoked using the
:keyword:`with` statement (described in section :ref:`with`), but can also be
used by directly invoking their methods.
.. index::
statement: with
single: context manager
Typical uses of context managers include saving and restoring various kinds of
global state, locking and unlocking resources, closing opened files, etc.
For more information on context managers, see :ref:`typecontextmanager`.
.. method:: object.__enter__(self)
Enter the runtime context related to this object. The :keyword:`with` statement
will bind this method's return value to the target(s) specified in the
:keyword:`as` clause of the statement, if any.
.. method:: object.__exit__(self, exc_type, exc_value, traceback)
Exit the runtime context related to this object. The parameters describe the
exception that caused the context to be exited. If the context was exited
without an exception, all three arguments will be :const:`None`.
If an exception is supplied, and the method wishes to suppress the exception
(i.e., prevent it from being propagated), it should return a true value.
Otherwise, the exception will be processed normally upon exit from this method.
Note that :meth:`__exit__` methods should not reraise the passed-in exception;
this is the caller's responsibility.
.. seealso::
:pep:`343` - The "with" statement
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 generally also bypasses 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
.. [#] 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.
.. [#] For operands of the same type, it is assumed that if the non-reflected method
(such as :meth:`__add__`) fails the operation is not supported, which is why the
reflected method is not called.