code: def proc_form():
      """This is for me to run against the class_form() function to see which,
      if either, runs faster. They within a few ms of each other on my machine
      with Python 3.5.1"""
  
      dt = 1.0
      std_z = 10.1
  
      x = np.array([[0.0], [0.0]])
      F = np.array([[1.0, dt], [0.0, 1.0]])
      H = np.array([[1.0, 0.0]])
      P = np.eye(2)
      R = np.eye(1) * std_z**2
      Q = Q_discrete_white_noise(2, dt, 5.1)
  
      pos = 0.0
      for t in range(2000):
          z = pos + random.randn() * std_z
          pos += 100
  
          # perform kalman filtering
          x, P = predict(x, P, F, Q)
          x, P, _ = update(z, R, x, P, H)
  
imports: from __future__ import absolute_import, division, print_function
  import numpy.random
  from numpy.random import randn
  import numpy
  import matplotlib.pyplot
  from pytest import approx
  from filterpy.kalman import KalmanFilter, update, predict, batch_filter
  from filterpy.common import Q_discrete_white_noise, kinematic_kf, Saver
  from filterpy.stats import mahalanobis
  from scipy.linalg import block_diag, norm
label_desc: Use image node_id 12 for calling a global function with example usage: proc_form() without return types