code: def make_ovo(X, y, class1, class2):
      classes = np.unique(y)
  
      if len(y) <= 2:
          return X, y
  
      c1 = classes[class1]
      c2 = classes[class2]
      cond = np.logical_or(y == classes[c1], y == classes[c2])
      y = y[cond]
      y[y == c1] = 0
      y[y == c2] = 1
      ind = np.arange(X.shape[0])
  
      return X[ind[cond]], y
  
label_desc: Use image node_id 1 for calling a global function with example usage: make_ovo(X, y, class1, class2) and returns: X,  y, X,  y