Author mark.dickinson
Recipients mark.dickinson, rhettinger, steven.daprano
Date 2021-11-23.14:43:48
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Message-id <1637678628.86.0.377478224444.issue45876@roundup.psfhosted.org>
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One thought: would the deci_sqrt approach help with value ranges where the values are well within float limits, but the squares of the values are not? E.g., on my machine, I currently get errors for both of the following:

>>> xs = [random.normalvariate(0.0, 1e200) for _ in range(10**6)]
>>> statistics.stdev(xs)

>>> xs = [random.normalvariate(0.0, 1e-200) for _ in range(10**6)]
>>> statistics.stdev(xs)

It's hard to imagine that there are too many use-cases for values of this size, but it still feels a bit odd to be constrained to only half of the dynamic range of float.
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Date User Action Args
2021-11-23 14:43:48mark.dickinsonsetrecipients: + mark.dickinson, rhettinger, steven.daprano
2021-11-23 14:43:48mark.dickinsonsetmessageid: <1637678628.86.0.377478224444.issue45876@roundup.psfhosted.org>
2021-11-23 14:43:48mark.dickinsonlinkissue45876 messages
2021-11-23 14:43:48mark.dickinsoncreate