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@@ -3,16 +3,16 @@ from __future__ import absolute_import
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import abc
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from kafka.metrics.stat import AbstractStat
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from kafka.vendor.six import add_metaclass
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@add_metaclass(abc.ABCMeta)
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class AbstractCompoundStat(AbstractStat):
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"""
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A compound stat is a stat where a single measurement and associated
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data structure feeds many metrics. This is the example for a
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histogram which has many associated percentiles.
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"""
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__metaclass__ = abc.ABCMeta
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def stats(self):
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"""
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Return list of NamedMeasurable
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@@ -21,8 +21,6 @@ class AbstractCompoundStat(AbstractStat):
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class NamedMeasurable(object):
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__slots__ = ('_name', '_stat')
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def __init__(self, metric_name, measurable_stat):
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self._name = metric_name
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self._stat = measurable_stat
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