class_docstr: An AbstractSampledStat that gives the min over its samples.
code: def combine(self, samples, config, now):
      if not samples:
          return float(sys.maxsize)
      return float(min(sample.value for sample in samples))
  
file_path: kafka-python/kafka/metrics/stats/min_stat.py
imports: from __future__ import absolute_import
  import sys
  from kafka.metrics.stats.sampled_stat import AbstractSampledStat
label_desc: Use image node_id 3 for calling the Min obj's underlying member method code with example usage: obj.combine(samples, config, now) and returns: float, float