>     [*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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