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Description:
backports.strenum 1.3.1
A backport of (copy and paste from) python 3.11’s StrEnum class for >=3.8.6:
See the design discussion,
and Ethan Furman’s first and
second PR with this implementation.
A slightly different implementation would likely be compatible with lower python versions;
PRs are welcome if they pass the test suite.
The existing (reference) implementation should still be the one used on supported versions.
Install with pip install backports.strenum, and use with:
import sys
if sys.version_info >= (3, 11):
from enum import StrEnum
else:
from backports.strenum import StrEnum
class MyStrEnum(StrEnum):
POTATO = "potato"
ORANGE = "orange"
SPADE = "spade"
MyStrEnum.POTATO == "potato" # True
MyStrEnum.ORANGE.upper() == "ORANGE" # True
str(MyStrEnum.SPADE) == "spade" # True
From version 1.3.0, this package cannot be installed on python >=3.11.
It shouldn’t be used on them anyway.
Make sure that in your package, this is a conditional dependency.
Gotchas
A number of behaviours relating to the treatment of enum classes as containers of their members (e.g. iterating and containment checks) will be changing in python 3.12.
This package intends only to allow pre-3.11 users to get 3.11-like behaviour; after that, stick with the standard library.
These are the docs provided with python 3.11:
class enum.StrEnum
StrEnum is the same as Enum, but its members are also strings and can be used in most of the same places that a string can be used.
The result of any string operation performed on or with a StrEnum member is not part of the enumeration.
Note
There are places in the stdlib that check for an exact str instead of a str subclass (i.e. type(unknown) == str instead of isinstance(unknown, str)), and in those locations you will need to use str(StrEnum.member).
Note
Using auto with StrEnum results in the lower-cased member name as the value.
Note
__str__() is str.__str__() to better support the replacement of existing constants use-case. __format__() is likewise str.__format__() for that same reason.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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