class_docstr: Online summarization of a sequence of scalars.
  
  Summary computes the statistics of given scalars online.
class_docstr_tok: ["Online","summarization","of","a","sequence","of","scalars",".","Summary","computes","the","statistics","of","given","scalars","online","."]
docstr: Computes and returns the mean and standard deviation values.
  
  Returns:
      tuple: Mean and standard deviation values.
code: def make_statistics(self):
      """Computes and returns the mean and standard deviation values.
  
      Returns:
          tuple: Mean and standard deviation values.
  
      """
      x, n = self._x, self._n
      xp = backend.get_array_module(x)
      with chainer.using_device(backend.get_device_from_array(x)):
          mean = x / n
          var = self._x2 / n - mean * mean
          std = xp.sqrt(var)
          return mean, std
  
imports: from __future__ import absolute_import
  import collections
  import contextlib
  import copy
  import json
  import threading
  import typing
  import warnings
  import numpy
  import six
  import chainer
  from chainer import backend
  from chainer import configuration
  from chainer import serializer
  from chainer import variable
  import chainerx
label_desc: Use image node_id 4 for calling the Summary obj's underlying member method code with example usage: obj.make_statistics() and returns: mean,  std