class_docstr: Holds statistics about a Pipeline run.
  
  Pipelines produce statistics on each call to `transform`.
  `Statistic` objects can be merged together to aggregate
  statistics over the course of many calls to `transform`.
  
  A `Statistic` also has a string name which is used during merging. Any two
  `Statistic` instances with the same name may be merged together. The name
  should also be informative about what the `Statistic` is measuring. Names
  do not need to be unique globally (outside of the `Pipeline` objects that
  produce them) because a `Pipeline` that returns statistics will prepend
  its own name, effectively creating a namespace for each `Pipeline`.
docstr: Merge another Statistic into this instance.
  
  Takes another Statistic of the same type, and merges its information into
  this instance.
  
  Args:
    other: Another Statistic instance.
docstr_tok: ["Merge","another","Statistic","into","this","instance",".","Takes","another","Statistic","of","the","same","type",",","and","merges","its","information","into","this","instance",".","Args",":","other",":","Another","Statistic","instance","."]
code: def _merge_from(self, other):
      """Merge another Statistic into this instance.
  
      Takes another Statistic of the same type, and merges its information into
      this instance.
  
      Args:
        other: Another Statistic instance.
      """
      pass
  
imports: import abc
  import bisect
  import copy
  import tensorflow.compat.v1
label_desc: Use image node_id 2 for calling the Statistic obj's underlying member method code with example usage: obj._merge_from(other) without return types