I have a situation where I need to enforce and give the user the option of one of a number of select functions, to be passed in as an argument to another function:
I really want to achieve something like the following:
from enum import Enum
#Trivial Function 1
def functionA():
pass
#Trivial Function 2
def functionB():
pass
#This is not allowed (as far as i can tell the values should be integers)
#But pseudocode for what I am after
class AvailableFunctions(Enum):
OptionA = functionA
OptionB = functionB
So the following can be executed:
def myUserFunction(theFunction = AvailableFunctions.OptionA):
#Type Check
assert isinstance(theFunction,AvailableFunctions)
#Execute the actual function held as value in the enum or equivalent
return theFunction.value()
An enum type is a special data type that enables for a variable to be a set of predefined constants. The variable must be equal to one of the values that have been predefined for it. Common examples include compass directions (values of NORTH, SOUTH, EAST, and WEST) and the days of the week.
Syntax : enum.auto() Automatically assign the integer value to the values of enum class attributes. Example #1 : In this example we can see that by using enum. auto() method, we are able to assign the numerical values automatically to the class attributes by using this method.
Enumeration or Enum in C is a special kind of data type defined by the user. It consists of constant integrals or integers that are given names by a user. The use of enum in C to name the integer values makes the entire program easy to learn, understand, and maintain by the same or even different programmer.
Enum is a class in python for creating enumerations, which are a set of symbolic names (members) bound to unique, constant values. The members of an enumeration can be compared by these symbolic anmes, and the enumeration itself can be iterated over.
Your assumption is wrong. Values can be arbitrary, they are not limited to integers. From the documentation:
The examples above use integers for enumeration values. Using integers is short and handy (and provided by default by the Functional 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.
However the issue with functions is that they are considered to be method definitions instead of attributes!
In [1]: from enum import Enum
In [2]: def f(self, *args):
...: pass
...:
In [3]: class MyEnum(Enum):
...: a = f
...: def b(self, *args):
...: print(self, args)
...:
In [4]: list(MyEnum) # it has no values
Out[4]: []
In [5]: MyEnum.a
Out[5]: <function __main__.f>
In [6]: MyEnum.b
Out[6]: <function __main__.MyEnum.b>
You can work around this by using a wrapper class or just functools.partial
or (only in Python2) staticmethod
:
from functools import partial
class MyEnum(Enum):
OptionA = partial(functionA)
OptionB = staticmethod(functionB)
Sample run:
In [7]: from functools import partial
In [8]: class MyEnum2(Enum):
...: a = partial(f)
...: def b(self, *args):
...: print(self, args)
...:
In [9]: list(MyEnum2)
Out[9]: [<MyEnum2.a: functools.partial(<function f at 0x7f4130f9aae8>)>]
In [10]: MyEnum2.a
Out[10]: <MyEnum2.a: functools.partial(<function f at 0x7f4130f9aae8>)>
Or using a wrapper class:
In [13]: class Wrapper:
...: def __init__(self, f):
...: self.f = f
...: def __call__(self, *args, **kwargs):
...: return self.f(*args, **kwargs)
...:
In [14]: class MyEnum3(Enum):
...: a = Wrapper(f)
...:
In [15]: list(MyEnum3)
Out[15]: [<MyEnum3.a: <__main__.Wrapper object at 0x7f413075b358>>]
Also note that if you want you can define the __call__
method in your enumeration class to make the values callable:
In [1]: from enum import Enum
In [2]: def f(*args):
...: print(args)
...:
In [3]: class MyEnum(Enum):
...: a = partial(f)
...: def __call__(self, *args):
...: self.value(*args)
...:
In [5]: MyEnum.a(1,2,3) # no need for MyEnum.a.value(1,2,3)
(1, 2, 3)
In addition to the answer of Bakuriu... If you use the wrapper approach like above you loose information about the original function like __name__
, __repr__
and so on after wrapping it. This will cause problems for example if you want to use sphinx for generation of source code documentation. Therefore add the following to your wrapper class.
class wrapper:
def __init__(self, function):
self.function = function
functools.update_wrapper(self, function)
def __call__(self,*args, **kwargs):
return self.function(*args, **kwargs)
def __repr__(self):
return self.function.__repr__()
Another less clunky solution is to put the functions in a tuple. As Bakuriu mentioned, you may want to make the enum callable.
from enum import Enum
def functionA():
pass
def functionB():
pass
class AvailableFunctions(Enum):
OptionA = (functionA,)
OptionB = (functionB,)
def __call__(self, *args, **kwargs):
self.value[0](*args, **kwargs)
Now you can use it like this:
AvailableFunctions.OptionA() # calls functionA
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