我主要是c#开发人员,但我目前正在用Python开发一个项目。
我如何在Python中表示等价的Enum ?
我主要是c#开发人员,但我目前正在用Python开发一个项目。
我如何在Python中表示等价的Enum ?
当前回答
def enum( *names ):
'''
Makes enum.
Usage:
E = enum( 'YOUR', 'KEYS', 'HERE' )
print( E.HERE )
'''
class Enum():
pass
for index, name in enumerate( names ):
setattr( Enum, name, index )
return Enum
其他回答
枚举已按照PEP 435中的描述添加到Python 3.4。它还被反向移植到pypi上的3.3、3.2、3.1、2.7、2.6、2.5和2.4。
对于更高级的Enum技术,请尝试aenum库(2.7,3.3+,与enum34是同一作者)。py2和py3之间的代码并不完全兼容,例如,你需要在python 2中使用__order__)。
要使用enum34,执行$ pip install enum34 要使用aenum,执行$ pip install aenum
安装enum(没有编号)将安装一个完全不同且不兼容的版本。
from enum import Enum # for enum34, or the stdlib version
# from aenum import Enum # for the aenum version
Animal = Enum('Animal', 'ant bee cat dog')
Animal.ant # returns <Animal.ant: 1>
Animal['ant'] # returns <Animal.ant: 1> (string lookup)
Animal.ant.name # returns 'ant' (inverse lookup)
或者说:
class Animal(Enum):
ant = 1
bee = 2
cat = 3
dog = 4
在早期版本中,完成枚举的一种方法是:
def enum(**enums):
return type('Enum', (), enums)
是这样使用的:
>>> Numbers = enum(ONE=1, TWO=2, THREE='three')
>>> Numbers.ONE
1
>>> Numbers.TWO
2
>>> Numbers.THREE
'three'
你也可以很容易地支持自动枚举,就像这样:
def enum(*sequential, **named):
enums = dict(zip(sequential, range(len(sequential))), **named)
return type('Enum', (), enums)
并像这样使用:
>>> Numbers = enum('ZERO', 'ONE', 'TWO')
>>> Numbers.ZERO
0
>>> Numbers.ONE
1
支持将值转换回名称可以这样添加:
def enum(*sequential, **named):
enums = dict(zip(sequential, range(len(sequential))), **named)
reverse = dict((value, key) for key, value in enums.iteritems())
enums['reverse_mapping'] = reverse
return type('Enum', (), enums)
这将覆盖带有该名称的任何内容,但对于在输出中呈现枚举非常有用。如果反向映射不存在,它将抛出一个KeyError。第一个例子:
>>> Numbers.reverse_mapping['three']
'THREE'
如果你使用MyPy,另一种表达“枚举”的方式是typing.Literal。
例如:
from typing import Literal #python >=3.8
from typing_extensions import Literal #python 2.7, 3.4-3.7
Animal = Literal['ant', 'bee', 'cat', 'dog']
def hello_animal(animal: Animal):
print(f"hello {animal}")
hello_animal('rock') # error
hello_animal('bee') # passes
这是我见过的最好的一个:“Python中的First Class Enums”
http://code.activestate.com/recipes/413486/
It gives you a class, and the class contains all the enums. The enums can be compared to each other, but don't have any particular value; you can't use them as an integer value. (I resisted this at first because I am used to C enums, which are integer values. But if you can't use it as an integer, you can't use it as an integer by mistake so overall I think it is a win.) Each enum is a unique value. You can print enums, you can iterate over them, you can test that an enum value is "in" the enum. It's pretty complete and slick.
编辑(cfi):上面的链接不兼容Python 3。下面是我将枚举.py移植到Python 3的端口:
def cmp(a,b):
if a < b: return -1
if b < a: return 1
return 0
def Enum(*names):
##assert names, "Empty enums are not supported" # <- Don't like empty enums? Uncomment!
class EnumClass(object):
__slots__ = names
def __iter__(self): return iter(constants)
def __len__(self): return len(constants)
def __getitem__(self, i): return constants[i]
def __repr__(self): return 'Enum' + str(names)
def __str__(self): return 'enum ' + str(constants)
class EnumValue(object):
__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):
# C fans might want to remove the following assertion
# to make all enums comparable by ordinal value {;))
assert self.EnumType is other.EnumType, "Only values from the same enum are comparable"
return cmp(self.__value, other.__value)
def __lt__(self, other): return self.__cmp__(other) < 0
def __eq__(self, other): return self.__cmp__(other) == 0
def __invert__(self): return constants[maximum - self.__value]
def __nonzero__(self): return bool(self.__value)
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
if __name__ == '__main__':
print( '\n*** Enum Demo ***')
print( '--- Days of week ---')
Days = Enum('Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su')
print( Days)
print( Days.Mo)
print( Days.Fr)
print( Days.Mo < Days.Fr)
print( list(Days))
for each in Days:
print( 'Day:', each)
print( '--- Yes/No ---')
Confirmation = Enum('No', 'Yes')
answer = Confirmation.No
print( 'Your answer is not', ~answer)
保持简单,使用旧的Python 2。x(参见下面的Python 3!):
class Enum(object):
def __init__(self, tupleList):
self.tupleList = tupleList
def __getattr__(self, name):
return self.tupleList.index(name)
然后:
DIRECTION = Enum(('UP', 'DOWN', 'LEFT', 'RIGHT'))
DIRECTION.DOWN
1
在使用Python 3时保持简单:
from enum import Enum
class MyEnum(Enum):
UP = 1
DOWN = 2
LEFT = 3
RIGHT = 4
然后:
MyEnum.DOWN
参见:https://docs.python.org/3/library/enum.html
所以,我同意。让我们不要在Python中强制执行类型安全,但我想保护自己不犯愚蠢的错误。我们怎么想呢?
class Animal(object):
values = ['Horse','Dog','Cat']
class __metaclass__(type):
def __getattr__(self, name):
return self.values.index(name)
它使我在定义枚举时避免了值冲突。
>>> Animal.Cat
2
还有一个方便的优势:非常快速的反向查找:
def name_of(self, i):
return self.values[i]
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
>>>