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        "description": "rounding\n========\n\nRounding methods\n\n`StandardRound` rounds to the nearest, and in the event of a tie, rounds up.\n\n`RoundToEven` rounds to the nearest, but in the event of a tie, rounds toward \nthe nearest even number.\n\n`StochasticRound` provides a mechanism to eliminate accumulated\nroundoff error in the presence of a distribution where for \nindividual samples, the roundoff error is skewed. This is typically\ncaused by small values. This may be a common problem when dealing with applying a\nfunction to many small integer values as the number of discreet inputs is small.\n\nOne drawback to stochastic rounding is the output is non-deterministic,\nbut this can be avoided by providing a custom deterministic generator, \nor invoking providing the random number generator with a fixed seed.\n\n.. code:: python\n  \n  r = random.Random()\n  r.seed(123)\n  sr = StochasticRound(precision=0, random_generator=r)",
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