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- from __future__ import absolute_import
- import abc
- from kafka.metrics.stat import AbstractStat
- class AbstractCompoundStat(AbstractStat):
- """
- A compound stat is a stat where a single measurement and associated
- data structure feeds many metrics. This is the example for a
- histogram which has many associated percentiles.
- """
- __metaclass__ = abc.ABCMeta
- def stats(self):
- """
- Return list of NamedMeasurable
- """
- raise NotImplementedError
- class NamedMeasurable(object):
- def __init__(self, metric_name, measurable_stat):
- self._name = metric_name
- self._stat = measurable_stat
- @property
- def name(self):
- return self._name
- @property
- def stat(self):
- return self._stat
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