text: import hits
  import numpy as np
  
  ''' Two similar graphs with different indices'''
  a = np.array([[0., 1., 1., 0.], \
                [0., 0., 0., 0.], \
                [0., 1., 0., 1.], \
                [1., 1., 0., 1.]])
  
  # b = np.array([[0., 1., 1., 0.], \
  #               [0., 0., 0., 0.], \
  #               [0., 1., 0., 1.], \
  #               [1., 1., 0., 1.]])
  
  b = np.array(([[1., 1., 1., 0.], \
                 [0., 0., 1., 1.], \
                 [0., 0., 0., 0.], \
                 [1., 0., 1., 0.]]))
  
  print(a)
  
  # ascoreA = 0.0
  # hscoreA = 0.0
  # step = 40
  # normalize = True
  #
  # ascoreA, hscoreA = hits.hits(a, step, normalize)
  #
  # ascoreB = 0.0
  # hscoreB = 0.0
  # # step = 1
  # # normalize = True
  #
  # ascoreB, hscoreB = hits.hits(b, step, normalize)
  
  # print('Authority score for A are {0} with {1} step(s)'.format(ascoreA, step))
  # print('Hub score for A are {0} with {1} step(s)'.format(hscoreA, step))
  #
  # print('Authority score for B are {0} with {1} step(s)'.format(ascoreB, step))
  # print('Hub score for B are {0} with {1} step(s)'.format(hscoreB, step))
  
  hits.comparison(a, b, steps=50, normalize=True)
  