如何在Python中声明常量?
在Java中,我们做:
public static final String CONST_NAME = "Name";
如何在Python中声明常量?
在Java中,我们做:
public static final String CONST_NAME = "Name";
当前回答
我正在尝试用不同的方法在Python中创建一个真正的常量,也许我找到了漂亮的解决方案。
例子:
为常量创建容器
>>> DAYS = Constants(
... MON=0,
... TUE=1,
... WED=2,
... THU=3,
... FRI=4,
... SAT=5,
... SUN=6
... )
从容器中获取价值
>>> DAYS.MON
0
>>> DAYS['MON']
0
用纯python数据结构表示
>>> list(DAYS)
['WED', 'SUN', 'FRI', 'THU', 'MON', 'TUE', 'SAT']
>>> dict(DAYS)
{'WED': 2, 'SUN': 6, 'FRI': 4, 'THU': 3, 'MON': 0, 'TUE': 1, 'SAT': 5}
所有常数都是不可变的
>>> DAYS.MON = 7
...
AttributeError: Immutable attribute
>>> del DAYS.MON
...
AttributeError: Immutable attribute
仅对常量自动补全
>>> dir(DAYS)
['FRI', 'MON', 'SAT', 'SUN', 'THU', 'TUE', 'WED']
像list.sort那样排序
>>> DAYS.sort(key=lambda (k, v): v, reverse=True)
>>> list(DAYS)
['SUN', 'SAT', 'FRI', 'THU', 'WED', 'TUE', 'MON']
与python2和python3的兼容性
常量的简单容器
from collections import OrderedDict
from copy import deepcopy
class Constants(object):
"""Container of constant"""
__slots__ = ('__dict__')
def __init__(self, **kwargs):
if list(filter(lambda x: not x.isupper(), kwargs)):
raise AttributeError('Constant name should be uppercase.')
super(Constants, self).__setattr__(
'__dict__',
OrderedDict(map(lambda x: (x[0], deepcopy(x[1])), kwargs.items()))
)
def sort(self, key=None, reverse=False):
super(Constants, self).__setattr__(
'__dict__',
OrderedDict(sorted(self.__dict__.items(), key=key, reverse=reverse))
)
def __getitem__(self, name):
return self.__dict__[name]
def __len__(self):
return len(self.__dict__)
def __iter__(self):
for name in self.__dict__:
yield name
def keys(self):
return list(self)
def __str__(self):
return str(list(self))
def __repr__(self):
return '<%s: %s>' % (self.__class__.__name__, str(self.__dict__))
def __dir__(self):
return list(self)
def __setattr__(self, name, value):
raise AttributeError("Immutable attribute")
def __delattr__(*_):
raise AttributeError("Immutable attribute")
其他回答
在我的例子中,我需要不可变字节数组来实现包含许多文字数字的加密库,我想确保这些数字是常量。
这个答案是有效的,但是尝试重赋bytearray元素不会引发错误。
def const(func):
'''implement const decorator'''
def fset(self, val):
'''attempting to set a const raises `ConstError`'''
class ConstError(TypeError):
'''special exception for const reassignment'''
pass
raise ConstError
def fget(self):
'''get a const'''
return func()
return property(fget, fset)
class Consts(object):
'''contain all constants'''
@const
def C1():
'''reassignment to C1 fails silently'''
return bytearray.fromhex('deadbeef')
@const
def pi():
'''is immutable'''
return 3.141592653589793
常量是不可变的,但是常量bytearray赋值默默失败:
>>> c = Consts()
>>> c.pi = 6.283185307179586 # (https://en.wikipedia.org/wiki/Tau_(2%CF%80))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "consts.py", line 9, in fset
raise ConstError
__main__.ConstError
>>> c.C1[0] = 0
>>> c.C1[0]
222
>>> c.C1
bytearray(b'\xde\xad\xbe\xef')
一种更强大、更简单,甚至可能更“python化”的方法涉及使用memoryview对象(<= python-2.6中的缓冲区对象)。
import sys
PY_VER = sys.version.split()[0].split('.')
if int(PY_VER[0]) == 2:
if int(PY_VER[1]) < 6:
raise NotImplementedError
elif int(PY_VER[1]) == 6:
memoryview = buffer
class ConstArray(object):
'''represent a constant bytearray'''
def __init__(self, init):
'''
create a hidden bytearray and expose a memoryview of that bytearray for
read-only use
'''
if int(PY_VER[1]) == 6:
self.__array = bytearray(init.decode('hex'))
else:
self.__array = bytearray.fromhex(init)
self.array = memoryview(self.__array)
def __str__(self):
return str(self.__array)
def __getitem__(self, *args, **kwargs):
return self.array.__getitem__(*args, **kwargs)
ConstArray项赋值是一个TypeError:
>>> C1 = ConstArray('deadbeef')
>>> C1[0] = 0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: 'ConstArray' object does not support item assignment
>>> C1[0]
222
您可以在下一个类的帮助下模拟常量变量。用法示例:
# Const
const = Const().add(two=2, three=3)
print 'const.two: ', const.two
print 'const.three: ', const.three
const.add(four=4)
print 'const.four: ', const.four
#const.four = 5 # a error here: four is a constant
const.add(six=6)
print 'const.six: ', const.six
const2 = Const().add(five=5) # creating a new namespace with Const()
print 'const2.five: ', const2.five
#print 'const2.four: ', const2.four # a error here: four does not exist in const2 namespace
const2.add(five=26)
当您希望启动一个新的常量名称空间时,请调用构造函数。注意,当Martelli的const类没有被修改时,这个类受到了保护,不受意外修改序列类型常量的影响。
来源如下。
from copy import copy
class Const(object):
"A class to create objects with constant fields."
def __init__(self):
object.__setattr__(self, '_names', [])
def add(self, **nameVals):
for name, val in nameVals.iteritems():
if hasattr(self, name):
raise ConstError('A field with a name \'%s\' is already exist in Const class.' % name)
setattr(self, name, copy(val)) # set up getter
self._names.append(name)
return self
def __setattr__(self, name, val):
if name in self._names:
raise ConstError('You cannot change a value of a stored constant.')
object.__setattr__(self, name, val)
from enum import Enum
class StringConsts(str,Enum):
ONE='one'
TWO='two'
print(f'Truth is {StringConsts.ONE=="one"}') #Truth is True
StringConsts.ONE="one" #Error: Cannot reassign
Enum和str的混合让你不必重新实现setattr(通过Enum),也不必与其他str对象进行比较(通过str)。
这可能会使http://code.activestate.com/recipes/65207-constants-in-python/?in=user-97991完全弃用。
在Python中,不能将变量或值声明为常量。
为了让程序员知道变量是常量,通常用大写:
CONST_NAME = "Name"
要在常量发生变化时引发异常,请参阅Alex Martelli的《Python中的常量》。注意,这在实践中并不常用。
从Python 3.8开始,有一个类型。最后一个变量注释,它将告诉静态类型检查器(如myypy)您的变量不应该被重新分配。这是最接近于Java的final。然而,它实际上并不能阻止重新分配:
from typing import Final
a: Final[int] = 1
# Executes fine, but mypy will report an error if you run mypy on this:
a = 2
这里有一个技巧,如果你想要常量,而不关心它们的值:
只定义空类。
e.g:
class RED:
pass
class BLUE:
pass