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from __future__ import absolute_import
from kafka.metrics.stats.sampled_stat import AbstractSampledStat
class Max(AbstractSampledStat): """An AbstractSampledStat that gives the max over its samples.""" def __init__(self): super(Max, self).__init__(float('-inf'))
def update(self, sample, config, value, now): sample.value = max(sample.value, value)
def combine(self, samples, config, now): if not samples: return float('-inf') return float(max(sample.value for sample in samples))
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