我需要在pyparsing中使用一些符号常量来表示二进制运算符的左右结合性。我像这样使用类常量:

# an internal class, not intended to be seen by client code
class _Constants(object):
    pass


# an enumeration of constants for operator associativity
opAssoc = _Constants()
opAssoc.LEFT = object()
opAssoc.RIGHT = object()

现在当客户端代码想要使用这些常量时，他们可以使用以下方法导入整个枚举:

import opAssoc from pyparsing

枚举是唯一的，它们可以用'is'而不是'=='来测试，它们不会在我的代码中占用很大的空间，而且它们很容易导入到客户端代码中。它们不支持任何花哨的str()行为，但到目前为止，这属于YAGNI类别。

以下是我认为有价值的方法:

允许>和<基于枚举中的顺序进行比较，而不是词法顺序 可以地址项目的名称，属性或索引:x.a, x['a']或x[0] 支持[:]或[-1]等切片操作

最重要的是防止不同类型的枚举之间的比较!

基于http://code.activestate.com/recipes/413486-first-class-enums-in-python。

这里包含了许多文档测试，以说明这种方法的不同之处。

def enum(*names):
    """
SYNOPSIS
    Well-behaved enumerated type, easier than creating custom classes

DESCRIPTION
    Create a custom type that implements an enumeration.  Similar in concept
    to a C enum but with some additional capabilities and protections.  See
    http://code.activestate.com/recipes/413486-first-class-enums-in-python/.

PARAMETERS
    names       Ordered list of names.  The order in which names are given
                will be the sort order in the enum type.  Duplicate names
                are not allowed.  Unicode names are mapped to ASCII.

RETURNS
    Object of type enum, with the input names and the enumerated values.

EXAMPLES
    >>> letters = enum('a','e','i','o','u','b','c','y','z')
    >>> letters.a < letters.e
    True

    ## index by property
    >>> letters.a
    a

    ## index by position
    >>> letters[0]
    a

    ## index by name, helpful for bridging string inputs to enum
    >>> letters['a']
    a

    ## sorting by order in the enum() create, not character value
    >>> letters.u < letters.b
    True

    ## normal slicing operations available
    >>> letters[-1]
    z

    ## error since there are not 100 items in enum
    >>> letters[99]
    Traceback (most recent call last):
        ...
    IndexError: tuple index out of range

    ## error since name does not exist in enum
    >>> letters['ggg']
    Traceback (most recent call last):
        ...
    ValueError: tuple.index(x): x not in tuple

    ## enums must be named using valid Python identifiers
    >>> numbers = enum(1,2,3,4)
    Traceback (most recent call last):
        ...
    AssertionError: Enum values must be string or unicode

    >>> a = enum('-a','-b')
    Traceback (most recent call last):
        ...
    TypeError: Error when calling the metaclass bases
        __slots__ must be identifiers

    ## create another enum
    >>> tags = enum('a','b','c')
    >>> tags.a
    a
    >>> letters.a
    a

    ## can't compare values from different enums
    >>> letters.a == tags.a
    Traceback (most recent call last):
        ...
    AssertionError: Only values from the same enum are comparable

    >>> letters.a < tags.a
    Traceback (most recent call last):
        ...
    AssertionError: Only values from the same enum are comparable

    ## can't update enum after create
    >>> letters.a = 'x'
    Traceback (most recent call last):
        ...
    AttributeError: 'EnumClass' object attribute 'a' is read-only

    ## can't update enum after create
    >>> del letters.u
    Traceback (most recent call last):
        ...
    AttributeError: 'EnumClass' object attribute 'u' is read-only

    ## can't have non-unique enum values
    >>> x = enum('a','b','c','a')
    Traceback (most recent call last):
        ...
    AssertionError: Enums must not repeat values

    ## can't have zero enum values
    >>> x = enum()
    Traceback (most recent call last):
        ...
    AssertionError: Empty enums are not supported

    ## can't have enum values that look like special function names
    ## since these could collide and lead to non-obvious errors
    >>> x = enum('a','b','c','__cmp__')
    Traceback (most recent call last):
        ...
    AssertionError: Enum values beginning with __ are not supported

LIMITATIONS
    Enum values of unicode type are not preserved, mapped to ASCII instead.

    """
    ## must have at least one enum value
    assert names, 'Empty enums are not supported'
    ## enum values must be strings
    assert len([i for i in names if not isinstance(i, types.StringTypes) and not \
        isinstance(i, unicode)]) == 0, 'Enum values must be string or unicode'
    ## enum values must not collide with special function names
    assert len([i for i in names if i.startswith("__")]) == 0,\
        'Enum values beginning with __ are not supported'
    ## each enum value must be unique from all others
    assert names == uniquify(names), 'Enums must not repeat values'

    class EnumClass(object):
        """ See parent function for explanation """

        __slots__ = names

        def __iter__(self):
            return iter(constants)

        def __len__(self):
            return len(constants)

        def __getitem__(self, i):
            ## this makes xx['name'] possible
            if isinstance(i, types.StringTypes):
                i = names.index(i)
            ## handles the more normal xx[0]
            return constants[i]

        def __repr__(self):
            return 'enum' + str(names)

        def __str__(self):
            return 'enum ' + str(constants)

        def index(self, i):
            return names.index(i)

    class EnumValue(object):
        """ See parent function for explanation """

        __slots__ = ('__value')

        def __init__(self, value):
            self.__value = value

        value = property(lambda self: self.__value)

        enumtype = property(lambda self: enumtype)

        def __hash__(self):
            return hash(self.__value)

        def __cmp__(self, other):
            assert self.enumtype is other.enumtype, 'Only values from the same enum are comparable'
            return cmp(self.value, other.value)

        def __invert__(self):
            return constants[maximum - self.value]

        def __nonzero__(self):
            ## return bool(self.value)
            ## Original code led to bool(x[0])==False, not correct
            return True

        def __repr__(self):
            return str(names[self.value])

    maximum = len(names) - 1
    constants = [None] * len(names)
    for i, each in enumerate(names):
        val = EnumValue(i)
        setattr(EnumClass, each, val)
        constants[i] = val
    constants = tuple(constants)
    enumtype = EnumClass()
    return enumtype

我喜欢使用列表或集合作为枚举。例如:

>>> packet_types = ['INIT', 'FINI', 'RECV', 'SEND']
>>> packet_types.index('INIT')
0
>>> packet_types.index('FINI')
1
>>>

为什么枚举必须是整数?不幸的是，在不改变Python语言的情况下，我想不出任何好看的构造来生成它，所以我将使用字符串:

class Enumerator(object):
    def __init__(self, name):
        self.name = name

    def __eq__(self, other):
        if self.name == other:
            return True
        return self is other

    def __ne__(self, other):
        if self.name != other:
            return False
        return self is other

    def __repr__(self):
        return 'Enumerator({0})'.format(self.name)

    def __str__(self):
        return self.name

class Enum(object):
    def __init__(self, *enumerators):
        for e in enumerators:
            setattr(self, e, Enumerator(e))
    def __getitem__(self, key):
        return getattr(self, key)

也许现在更好的是，为了配置文件或其他远程输入，我们可以自然地对字符串进行测试。

例子:

class Cow(object):
    State = Enum(
        'standing',
        'walking',
        'eating',
        'mooing',
        'sleeping',
        'dead',
        'dying'
    )
    state = State.standing

In [1]: from enum import Enum

In [2]: c = Cow()

In [3]: c2 = Cow()

In [4]: c.state, c2.state
Out[4]: (Enumerator(standing), Enumerator(standing))

In [5]: c.state == c2.state
Out[5]: True

In [6]: c.State.mooing
Out[6]: Enumerator(mooing)

In [7]: c.State['mooing']
Out[7]: Enumerator(mooing)

In [8]: c.state = Cow.State.dead

In [9]: c.state == c2.state
Out[9]: False

In [10]: c.state == Cow.State.dead
Out[10]: True

In [11]: c.state == 'dead'
Out[11]: True

In [12]: c.state == Cow.State['dead']
Out[11]: True

Alexandru对枚举使用类常量的建议效果很好。

我还喜欢为每组常量添加字典，以查找人类可读的字符串表示。

这有两个目的:a)它提供了一种简单的方法来漂亮地打印你的枚举;b)字典在逻辑上对常量进行分组，以便您可以测试成员关系。

class Animal:    
  TYPE_DOG = 1
  TYPE_CAT = 2

  type2str = {
    TYPE_DOG: "dog",
    TYPE_CAT: "cat"
  }

  def __init__(self, type_):
    assert type_ in self.type2str.keys()
    self._type = type_

  def __repr__(self):
    return "<%s type=%s>" % (
        self.__class__.__name__, self.type2str[self._type].upper())

在Java pre-JDK 5中使用的类型安全枚举模式有一个 优势的数量。就像Alexandru的回答一样，你创建了一个 类和类级别字段是枚举值;然而，枚举 值是类的实例，而不是小整数。这已经 优点是枚举值不会在不经意间比较相等 对于小整数，你可以控制它们的打印方式，任意添加 方法(如果有用的话)，并使用isinstance进行断言:

class Animal:
   def __init__(self, name):
       self.name = name

   def __str__(self):
       return self.name

   def __repr__(self):
       return "<Animal: %s>" % self

Animal.DOG = Animal("dog")
Animal.CAT = Animal("cat")

>>> x = Animal.DOG
>>> x
<Animal: dog>
>>> x == 1
False

python-dev上最近的一个线程指出，在野外有几个枚举库，包括:

flufl.enum lazr.enum ．.． 和富有想象力的enum