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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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