class_docstr: Test data storage performance
docstr: Generate random data and update data storage
code: def run_one(self):
      """Generate random data and update data storage"""
      self.data["y"] = np.random.normal(size=self.data_size)
      self.datastorage.update(self.data)
  
imports: import time, sys, os
  from Qt import QtCore
  import numpy
  from qspectrumanalyzer.utils import smooth
  from qspectrumanalyzer.backends import soapy_power
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.run_one() without return types