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from __future__ import absolute_import
from kafka.metrics.stats.sampled_stat import AbstractSampledStat
class Avg(AbstractSampledStat): """
An AbstractSampledStat that maintains a simple average over its samples. """
def __init__(self): super(Avg, self).__init__(0.0)
def update(self, sample, config, value, now): sample.value += value
def combine(self, samples, config, now): total_sum = 0 total_count = 0 for sample in samples: total_sum += sample.value total_count += sample.event_count if not total_count: return 0 return float(total_sum) / total_count
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