code: def width(self, L):
      m = 0
      for i, row in enumerate(L):
          w = 0
          x, y = np.nonzero(row)
          if len(y) > 0:
              v = y - i
              w = v.max() - v.min() + 1
              m = max(w, m)
      return m
  
imports: import networkx
label_desc: Use image node_id 7 for calling the InverseLaplacian obj's underlying member method code with example usage: obj.width(L) and returns: m