code: def generate_test_vecs(infile, strelfile, resultfile):
      "test label with different structuring element neighborhoods"
  
      def bitimage(l):
          return np.array([[c for c in s] for s in l]) == "1"
  
      data = [
          np.ones((7, 7)),
          bitimage(
              [
                  "1110111",
                  "1100011",
                  "1010101",
                  "0001000",
                  "1010101",
                  "1100011",
                  "1110111",
              ]
          ),
          bitimage(
              [
                  "1011101",
                  "0001000",
                  "1001001",
                  "1111111",
                  "1001001",
                  "0001000",
                  "1011101",
              ]
          ),
      ]
      strels = [
          np.ones((3, 3)),
          np.zeros((3, 3)),
          bitimage(["010", "111", "010"]),
          bitimage(["101", "010", "101"]),
          bitimage(["100", "010", "001"]),
          bitimage(["000", "111", "000"]),
          bitimage(["110", "010", "011"]),
          bitimage(["110", "111", "011"]),
      ]
      strels = strels + [np.flipud(s) for s in strels]
      strels = strels + [np.rot90(s) for s in strels]
      strels = [
          np.fromstring(s, dtype=int).reshape((3, 3))
          for s in {t.astype(int).tobytes() for t in strels}
      ]
      inputs = np.vstack(data)
      results = np.vstack(
          [label(d, s)[0] for d in data for s in strels]
      )
      strels = np.vstack(strels)
      np.savetxt(infile, inputs, fmt="%d")
      np.savetxt(strelfile, strels, fmt="%d")
      np.savetxt(resultfile, results, fmt="%d")
  
label_desc: Use image node_id 1 for calling a global function with example usage: generate_test_vecs(infile, strelfile, resultfile) and returns: unknown