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Add an example for math.fsum() and elaborate on the accurary note.
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@ -80,14 +80,18 @@ Number-theoretic and representation functions
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.. function:: fsum(iterable)
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Return an accurate floating point sum of values in the iterable. Avoids
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loss of precision by tracking multiple intermediate partial sums. The
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algorithm's accuracy depends on IEEE-754 arithmetic guarantees and the
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typical case where the rounding mode is half-even.
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loss of precision by tracking multiple intermediate partial sums::
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.. note::
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>>> sum([.1, .1, .1, .1, .1, .1, .1, .1, .1, .1])
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0.99999999999999989
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>>> fsum([.1, .1, .1, .1, .1, .1, .1, .1, .1, .1])
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1.0
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The accuracy of fsum() may be impaired on builds that use
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extended precision addition and then double-round the results.
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The algorithm's accuracy depends on IEEE-754 arithmetic guarantees and the
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typical case where the rounding mode is half-even. On some non-Windows
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builds, the underlying C library uses extended precision addition and may
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occasionally double-round an intermediate sum causing it to be off in its
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least significant bit.
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.. function:: isinf(x)
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