code: def mode(a):
      '''Compute the mode of an array
      
      a: an array
      
      returns a vector of values which are the most frequent (more than one
      if there is a tie).
      '''
      a = np.asanyarray(a)
      if a.size == 0:
          return np.zeros(0, a.dtype)
      aa = a.flatten()
      aa.sort()
      indices = np.hstack([[0], np.where(aa[:-1] != aa[1:])[0]+1, [aa.size]])
      counts = indices[1:] - indices[:-1]
      best_indices = indices[:-1][counts == np.max(counts)]
      return aa[best_indicesf mode(a):
      '''Compute the mode of an array
      
      a: an array
      
      returns a vector of values which are the most frequent (more than one
      if there is a tie).
      '''
      a = np.asanyarray(a)
      if a.size == 0:
          return np.zeros(0, a.dtype)
      aa = a.flatten()
      aa.sort()
      indices = np.hstack([[0], np.where(aa[:-1] != aa[1:])[0]+1, [aa.size]])
      counts = indices[1:] - indices[:-1]
      best_indices = indices[:-1][counts == np.max(counts)]
      return aa[best_indices]
docs: Compute the mode of an array
      
      a: an array
      
      returns a vector of values which are the most frequent (more than one
      if there is a tie).