Well you have the values as they're passed in; just (optionally?) include the
type in the signature if you want type differentiation
>>> def anamedtuple(**kwargs):
... signature = " ".join([f"{k}: {type(v)}" for k, v in kwargs.items()])
... _type = anamedtuple.__dict__.get(signature)
... if not _type:
... _type = namedtuple(anamedtuple.__name__, tuple(kwargs))
... anamedtuple.__dict__[signature] = _type
... return _type(**kwargs)
...
>>> type(anamedtuple(x=1)) == type(anamedtuple(x='a'))
False
And I would disagree with the idea that memory growth would be "uncontrollable"
- new types are generated only when a developer requests a new type, and type
generation in this case is idempotent, since types are cached.
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