[Python-Dev] constant/enum type in stdlib

[Glenn Linderman]

On 11/27/2010 12:56 PM, Glenn Linderman wrote:
> On 11/27/2010 2:51 AM, Nick Coghlan wrote:
>> Not quite. I'm suggesting a factory function that works for any value,
>> and derives the parent class from the type of the supplied value.
>
> Nick, thanks for the much better implementation than I achieved; you 
> seem to have the same goals as my implementation.  I learned a bit 
> making mine, and more understanding yours to some degree.  What I 
> still don't understand about your implementation, is that when adding 
> one additional line to your file, it fails:
>
> w = named_value("ABC", z )
>
> Now I can understand why it might not be a good thing to make a named 
> value of a named value (confusing, at least), but I was surprised, and 
> still do not understand, that it failed reporting the __new__() takes 
> exactly 3 arguments (2 given).

OK, I puzzled out the error, and here is a "cure" of sorts.

         def __new__(cls, name, value):
             try:
                 return base_type.__new__(cls, value)
             except TypeError:
                 return base_type.__new__(cls, name, value)
         def __init__(self, name, value):
             self.__name = name
             try:
                 super().__init__(value)
             except TypeError:
                 super().__init__(name, value)

Probably it would be better for the except clause to raise a different 
type of error ( Can't recursively create named value ) or to cleverly 
bypass the intermediate named value, and simply apply a new name to the 
original value.  Hmm...  For this, only __new__ need be changed:

         def __new__(cls, name, value):
             try:
                 return base_type.__new__(cls, value)
             except TypeError:
                 return _make_named_value_type( type( value._raw() ))( 
name, value._raw() )
         def __init__(self, name, value):
             self.__name = name
             super().__init__(value)

Thanks for not responding too quickly, I figured out more, and learned more.
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