python-peps/pep-0435.txt

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PEP: 435
Title: Adding an Enum type to the Python standard library
Version: $Revision$
Last-Modified: $Date$
Author: Barry Warsaw <barry@python.org>,
Eli Bendersky <eliben@gmail.com>
Status: Draft
Type: Standards Track
Content-Type: text/x-rst
Created: 2013-02-23
Python-Version: 3.4
Post-History: 2013-02-23
Abstract
========
This PEP proposes adding an enumeration type to the Python standard library.
Specifically, it proposes moving the existing ``flufl.enum`` package by Barry
Warsaw into the standard library. Much of this PEP is based on the "using"
[1]_ document from the documentation of ``flufl.enum``.
An enumeration is a set of symbolic names bound to unique, constant values.
Within an enumeration, the values can be compared by identity, and the
enumeration itself can be iterated over.
Decision
========
TODO: update decision here once pronouncement is made.
Status of discussions
=====================
The idea of adding an enum type to Python is not new - PEP 354 [2]_ is a
previous attempt that was rejected in 2005. Recently a new set of discussions
was initiated [3]_ on the ``python-ideas`` mailing list. Many new ideas were
proposed in several threads; after a lengthy discussion Guido proposed adding
``flufl.enum`` to the standard library [4]_. During the PyCon 2013 language
summit the issue was discussed further. It became clear that many developers
want to see an enum that subclasses ``int``, which can allow us to replace
many integer constants in the standard library by enums with friendly string
representations, without ceding backwards compatibility. An additional
discussion among several interested core developers led to the proposal of
having ``IntEnum`` as a special case of ``Enum``.
The key dividing issue between ``Enum`` and ``IntEnum`` is whether comparing
to integers is semantically meaningful. For most uses of enumerations, it's
a **feature** to reject comparison to integers; enums that compare to integers
lead, through transitivity, to comparisons between enums of unrelated types,
which isn't desirable in most cases. For some uses, however, greater
interoperatiliby with integers is desired. For instance, this is the case for
replacing existing standard library constants (such as ``socket.AF_INET``)
with enumerations.
This PEP is an attempt to formalize this decision as well as discuss a number
of variations that were discussed and can be considered for inclusion.
Motivation
==========
*[Based partly on the Motivation stated in PEP 354]*
The properties of an enumeration are useful for defining an immutable, related
set of constant values that have a defined sequence but no inherent semantic
meaning. Classic examples are days of the week (Sunday through Saturday) and
school assessment grades ('A' through 'D', and 'F'). Other examples include
error status values and states within a defined process.
It is possible to simply define a sequence of values of some other basic type,
such as ``int`` or ``str``, to represent discrete arbitrary values. However,
an enumeration ensures that such values are distinct from any others including,
importantly, values within other enumerations, and that operations without
meaning ("Wednesday times two") are not defined for these values. It also
provides a convenient printable representation of enum values without requiring
tedious repetition while defining them (i.e. no ``GREEN = 'green'``).
Module and type name
====================
We propose to add a module named ``enum`` to the standard library. The main
type exposed by this module is ``Enum``. Hence, to import the ``Enum`` type
user code will run::
>>> from enum import Enum
Proposed semantics for the new enumeration type
===============================================
Creating an Enum
----------------
Enumerations are created using the class syntax, which makes them easy to read
and write. Every enumeration value must have a unique integer value and the
only restriction on their names is that they must be valid Python identifiers.
To define an enumeration, derive from the ``Enum`` class and add attributes
with assignment to their integer values::
>>> from enum import Enum
>>> class Colors(Enum):
... red = 1
... green = 2
... blue = 3
Enumeration values have nice, human readable string representations::
>>> print(Colors.red)
Colors.red
...while their repr has more information::
>>> print(repr(Colors.red))
<EnumValue: Colors.red [int=1]>
The enumeration value names are available through the class members::
>>> for member in Colors.__members__:
... print(member)
red
green
blue
Let's say you wanted to encode an enumeration value in a database. You might
want to get the enumeration class object from an enumeration value::
>>> cls = Colors.red.enum
>>> print(cls.__name__)
Colors
Enums also have a property that contains just their item name::
>>> print(Colors.red.name)
red
>>> print(Colors.green.name)
green
>>> print(Colors.blue.name)
blue
The str and repr of the enumeration class also provides useful information::
>>> print(Colors)
<Colors {red: 1, green: 2, blue: 3}>
>>> print(repr(Colors))
<Colors {red: 1, green: 2, blue: 3}>
The ``Enum`` class supports iteration. The returned order is not guaranteed
(unless you use `IntEnum`_)::
>>> [v.name for v in MoreColors]
['red', 'green', 'blue', 'pink', 'cyan']
Enumeration values are hashable, so they can be used in dictionaries and sets::
>>> apples = {}
>>> apples[Colors.red] = 'red delicious'
>>> apples[Colors.green] = 'granny smith'
>>> apples
{<EnumValue: Colors.green [value=2]>: 'granny smith', <EnumValue: Colors.red [value=1]>: 'red delicious'}
You can convert back to the enumeration value by indexing into the
``Enum`` subclass, passing in the integer value for the item you want::
>>> Colors[1]
<EnumValue: Colors.red [int=1]>
>>> Colors[2]
<EnumValue: Colors.green [int=2]>
>>> Colors[3]
<EnumValue: Colors.blue [int=3]>
>>> Colors[1] is Colors.red
True
The string name of the enumeration value is also accepted::
>>> Colors['red']
<EnumValue: Colors.red [int=1]>
>>> Colors['blue'] is Colors.blue
True
You get exceptions though, if you try to use invalid arguments::
>>> Colors['magenta']
Traceback (most recent call last):
...
ValueError: magenta
>>> Colors[99]
Traceback (most recent call last):
...
ValueError: 99
Comparisons
-----------
Enumeration values are compared by identity::
>>> Colors.red is Colors.red
True
>>> Colors.blue is Colors.blue
True
>>> Colors.red is not Colors.blue
True
>>> Colors.blue is Colors.red
False
Ordered comparisons between enumeration values are *not* supported. Enums are
not integers (but see `IntEnum`_ below)::
>>> Colors.red < Colors.blue
Traceback (most recent call last):
...
NotImplementedError
>>> Colors.red <= Colors.blue
Traceback (most recent call last):
...
NotImplementedError
>>> Colors.blue > Colors.green
Traceback (most recent call last):
...
NotImplementedError
>>> Colors.blue >= Colors.green
Traceback (most recent call last):
...
NotImplementedError
Equality comparisons are defined though::
>>> Colors.blue == Colors.blue
True
>>> Colors.green != Colors.blue
True
Comparisons against non-enumeration values will always compare not equal::
>>> Colors.green == 2
False
>>> Colors.blue == 3
False
>>> Colors.green != 3
True
>>> Colors.green == 'green'
False
Extending enumerations by subclassing
-------------------------------------
You can extend previously defined Enums by subclassing::
>>> class MoreColors(Colors):
... pink = 4
... cyan = 5
When extended in this way, the base enumeration's values are identical to the
same named values in the derived class::
>>> Colors.red is MoreColors.red
True
>>> Colors.blue is MoreColors.blue
True
However, these are not doing comparisons against the integer equivalent values,
because if you define an enumeration with similar item names and integer values,
they will not be identical::
>>> class OtherColors(Enum):
... red = 1
... blue = 2
... yellow = 3
>>> Colors.red is OtherColors.red
False
>>> Colors.blue is not OtherColors.blue
True
These enumeration values are not equal, nor do they hash equally::
>>> Colors.red == OtherColors.red
False
>>> len(set((Colors.red, OtherColors.red)))
2
You may not define two enumeration values with the same integer value::
>>> class Bad(Enum):
... cartman = 1
... stan = 2
... kyle = 3
... kenny = 3 # Oops!
... butters = 4
Traceback (most recent call last):
...
TypeError: Multiple enum values: 3
You also may not duplicate values in derived enumerations::
>>> class BadColors(Colors):
... yellow = 4
... chartreuse = 2 # Oops!
Traceback (most recent call last):
...
TypeError: Multiple enum values: 2
Enumeration values
------------------
The examples above use integers for enumeration values. Using integers is
short and handy (and provided by default by the `Convenience API`_), but not
strictly enforced. In the vast majority of use-cases, one doesn't care what
the actual value of an enumeration is. But if the value *is* important,
enumerations can have arbitrary values. The following example uses strings::
>>> class SpecialId(Enum):
... selector = '$IM($N)'
... adaptor = '~$IM'
2013-04-04 09:52:41 -04:00
...
>>> SpecialId.selector
<EnumValue: SpecialId.selector [value=$IM($N)]>
>>> SpecialId.selector.value
'$IM($N)'
>>> a = SpecialId.adaptor
>>> a == '~$IM'
False
>>> a == SpecialId.adaptor
True
>>> print(a)
SpecialId.adaptor
>>> print(a.value)
~$IM
Here ``Enum`` is used to provide readable (and syntactically valid!) names for
some special values, as well as group them together.
While ``Enum`` supports this flexibility, one should only use it in very special
cases. Code will be most readable when actual values of enumerations aren't
important and enumerations are just used for their naming and comparison
properties.
IntEnum
-------
A variation of ``Enum`` is proposed that also subclasses ``int`` - ``IntEnum``.
Such enumerations behave much more similarly to integers. In particular, they
can be compared to integers; by extensions, enumerations of different types can
also be compared to each other::
>>> from enum import IntEnum
>>> class Shape(IntEnum):
... circle = 1
... square = 2
...
>>> class Request(IntEnum):
... post = 1
... get = 2
...
>>> Shape == 1
False
>>> Shape.circle == 1
True
>>> Shape.circle == Request.post
True
However they still can't be compared to ``Enum``::
>>> from enum import Enum, IntEnum
>>> class Shape(IntEnum):
... circle = 1
... square = 2
...
>>> class Colors(Enum):
... red = 1
... green = 2
...
>>> Shape.circle == Colors.red
False
``IntEnum`` behaves like an integer in other ways you'd expect::
>>> int(Shape.circle)
1
>>> ['a', 'b', 'c'][Shape.circle]
'b'
>>> [i for i in range(Shape.square)]
[0, 1]
For the vast majority of code, ``Enum`` is strongly recommended. Since
``IntEnum`` breaks some semantic promises of an enumeration (by being comparable
to integers, and thus by transitivity to other unrelated enumerations), it
should be used only in special cases where there's no other choice; for example,
when integer constants are replaced with enumerations and backwards
compatibility is required with code that still expects integers.
Pickling
--------
Enumerations created with the class syntax can also be pickled and unpickled::
>>> from enum.tests.fruit import Fruit
>>> from pickle import dumps, loads
>>> Fruit.tomato is loads(dumps(Fruit.tomato))
True
Convenience API
---------------
The ``Enum`` class is callable, providing the following convenience API::
>>> Animals = Enum('Animals', 'ant bee cat dog')
>>> Animals
<Animals {ant: 1, bee: 2, cat: 3, dog: 4}>
2013-04-04 09:52:41 -04:00
>>>
>>> Animals.ant
<EnumValue: Animals.ant [value=1]>
>>> Animals.ant.value
1
The semantics of this API resemble ``namedtuple``. The first argument of
the call to ``Enum`` is the name of the enumeration. The second argument is
a source of enumeration value names. It can be a whitespace-separated string
of names, a sequence of names or a sequence of 2-tuples with key/value pairs.
The last option enables assigning arbitrary values to enumerations; the others
auto-assign increasing integers starting with 1. A new class derived from
``Enum`` is returned. In other words, the above assignment to ``Animals`` is
equivalent to::
>>> class Animals(Enum):
... ant = 1
... bee = 2
... cat = 3
... dog = 4
Examples of alternative name/value specifications::
>>> Enum('Animals', ['ant', 'bee', 'cat', 'dog'])
<Animals {ant: 1, bee: 2, cat: 3, dog: 4}>
>>> Enum('Animals', (('ant', 'one'), ('bee', 'two'), ('cat', 'three'), ('dog', 'four')))
<Animals {dog: four, ant: one, cat: three, bee: two}>
Proposed variations
===================
Some variations were proposed during the discussions in the mailing list.
Here's some of the more popular ones.
Not having to specify values for enums
--------------------------------------
Michael Foord proposed (and Tim Delaney provided a proof-of-concept
implementation) to use metaclass magic that makes this possible::
class Color(Enum):
red, green, blue
The values get actually assigned only when first looked up.
Pros: cleaner syntax that requires less typing for a very common task (just
listing enumeration names without caring about the values).
Cons: involves much magic in the implementation, which makes even the
definition of such enums baffling when first seen. Besides, explicit is
better than implicit.
Using special names or forms to auto-assign enum values
-------------------------------------------------------
A different approach to avoid specifying enum values is to use a special name
or form to auto assign them. For example::
class Color(Enum):
red = None # auto-assigned to 0
green = None # auto-assigned to 1
blue = None # auto-assigned to 2
More flexibly::
class Color(Enum):
red = 7
green = None # auto-assigned to 8
blue = 19
purple = None # auto-assigned to 20
Some variations on this theme:
#. A special name ``auto`` imported from the enum package.
#. Georg Brandl proposed ellipsis (``...``) instead of ``None`` to achieve the
same effect.
Pros: no need to manually enter values. Makes it easier to change the enum and
extend it, especially for large enumerations.
Cons: actually longer to type in many simple cases. The argument of explicit
vs. implicit applies here as well.
Use-cases in the standard library
=================================
The Python standard library has many places where the usage of enums would be
beneficial to replace other idioms currently used to represent them. Such
usages can be divided to two categories: user-code facing constants, and
internal constants.
User-code facing constants like ``os.SEEK_*``, ``socket`` module constants,
decimal rounding modes and HTML error codes could require backwards
compatibility since user code may expect integers. ``IntEnum`` as described
above provides the required semantics; being a subclass of ``int``, it does not
affect user code that expects integers, while on the other hand allowing
printable representations for enumeration values::
>>> import socket
>>> family = socket.AF_INET
>>> family == 2
True
>>> print(family)
SocketFamily.AF_INET
Internal constants are not seen by user code but are employed internally by
stdlib modules. These can be implemented with ``Enum``. Some examples
uncovered by a very partial skim through the stdlib: ``binhex``, ``imaplib``,
``http/client``, ``urllib/robotparser``, ``idlelib``, ``concurrent.futures``,
``turtledemo``.
In addition, looking at the code of the Twisted library, there are many use
cases for replacing internal state constants with enums. The same can be said
about a lot of networking code (especially implementation of protocols) and
can be seen in test protocols written with the Tulip library as well.
Differences from PEP 354
========================
Unlike PEP 354, enumeration values are not defined as a sequence of strings,
but as attributes of a class. This design was chosen because it was felt that
class syntax is more readable.
Unlike PEP 354, enumeration values require an explicit integer value. This
difference recognizes that enumerations often represent real-world values, or
must interoperate with external real-world systems. For example, to store an
enumeration in a database, it is better to convert it to an integer on the way
in and back to an enumeration on the way out. Providing an integer value also
provides an explicit ordering. However, there is no automatic conversion to
and from the integer values, because explicit is better than implicit.
Unlike PEP 354, this implementation does use a metaclass to define the
enumeration's syntax, and allows for extended base-enumerations so that the
common values in derived classes are identical (a singleton model). While PEP
354 dismisses this approach for its complexity, in practice any perceived
complexity, though minimal, is hidden from users of the enumeration.
Unlike PEP 354, enumeration values can only be tested by identity comparison.
This is to emphasize the fact that enumeration values are singletons, much
like ``None``.
Acknowledgments
===============
This PEP describes the ``flufl.enum`` package by Barry Warsaw. ``flufl.enum``
is based on an example by Jeremy Hylton. It has been modified and extended
by Barry Warsaw for use in the GNU Mailman [5]_ project. Ben Finney is the
author of the earlier enumeration PEP 354.
References
==========
.. [1] http://pythonhosted.org/flufl.enum/docs/using.html
.. [2] http://www.python.org/dev/peps/pep-0354/
.. [3] http://mail.python.org/pipermail/python-ideas/2013-January/019003.html
.. [4] http://mail.python.org/pipermail/python-ideas/2013-February/019373.html
.. [5] http://www.list.org
Copyright
=========
This document has been placed in the public domain.
Todo
====
* Mark PEP 354 "superseded by" this one, if accepted
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