> [*t for t in [(1, 'a'), (2, 'b'), (3, 'c')]]
Another problem with this is that it is very hard to generalize to the case
where the item included in a comprehension is a transformation on iterated
values. E.g. what does this do?
[math.exp(*t) for t in [(1,2),(3,4)]]
Maybe that somehow magically gets us:
[2.7182, 7.38905, 20.0855, 54.5981]
Or maybe the syntax would be:
[*math.exp(t) for t in [(1,2),(3,4)]]
Neither of those follows conventional Python semantics for function calling
or sequence unpacking. So maybe that remains a type error or syntax
error. But then we exclude a very common pattern of using comprehensions
to create collections of *transformed* data, not simply of filtered data.
In contrast, either of these are unambiguous and obvious:
[math.exp(t) for t in flatten([(1,2),(3,4)])]
[math.exp(n) for t in [(1,2),(3,4)] for n in t]
Obviously, picking math.exp() is arbitrary and any unary function would be
the same issue.
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