class_docstr: Running statistics for elements in a stream
  
  Can take single values or iterables
  
  1. Implements Welford's algorithm for computing a running mean
  and standard deviation
  2. Min-Heap to find top-k where k < capacity (kwarg)
  Methods:
      mean    - returns the mean
      std     - returns the std
      meanfull- returns the mean and std of the mean
      topk(k) - returns the kth highest value for k < capacity
code: def consume(self, lst) -> None:
      lst = iter(lst)
      for x in lst:
          self.update(x)
  
file_path: ReAgent/reagent/core/running_stats.py
imports: import math
label_desc: Use image node_id 3 for calling the RunningStats obj's underlying member method code with example usage: obj.consume(lst) without return types