class_docstr: real time speed stat
class_docstr_tok: ["real","time","speed","stat"]
code: def sum(self, timestamp):
      timestamp = timestamp / self.sample_range
      ver = int(timestamp * self.bucket_num // 1)
      return (
          sum(
              n
              for n, v in zip(self.bucket, self.bucket_ver)
              if v >= ver - self.bucket_num
          )
          / self.sample_range
      )
  
imports: import asyncio
  import math
  import time
  from collections import defaultdict
  from tabulate import tabulate
label_desc: Use image node_id 3 for calling the DynamicBucketMerge obj's underlying member method code with example usage: obj.sum(timestamp) and returns: unknown