code: def sense(self, pos):
      return (
          pos[0] + randn() * self.noise_factor,
          pos[1] + randn() * self.noise_factor,
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from math import sin, cos, radians
  import numpy.random
  import numpy
  from numpy import array
  from numpy.random import randn
  import matplotlib.pyplot
  from filterpy.kalman import IMMEstimator, KalmanFilter
  from filterpy.common import Q_discrete_white_noise, Saver
label_desc: Use image node_id 2 for calling the NoisySensor obj's underlying member method code with example usage: obj.sense(pos) and returns: unknown,  unknown