Mark Dickinson added the comment:
For what it's worth, NumPy has exactly the same behaviour:
>>> np.array([-0.0, -0.0]).sum()
0.0
... which is a bit surprising, given that this is a much easier problem to fix
when you know the type of everything in the array in advance.
The Decimal type has similar issues here, resulting from that implicit addition
of 0:
>>> from decimal import Decimal, getcontext
>>> getcontext().prec = 5
>>> x = Decimal('3.1415926535893')
>>> sum([x])
Decimal('3.1416')
Fixing this would involve major changes to the way that sum works, or some
horrible DWIM special-casing; I think it's best left as it is.
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Python tracker <rep...@bugs.python.org>
<http://bugs.python.org/issue26324>
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