code: def isax():
      df = h2o.create_frame(
          rows=1,
          cols=256,
          real_fraction=1.0,
          missing_fraction=0.0,
          seed=123,
      )
      df2 = df.cumsum(axis=1)
      res = df2.isax(num_words=10, max_cardinality=10)
      res.show()
      answer = "0^10_0^10_0^10_0^10_5^10_7^10_8^10_9^10_9^10_8^10"
      assert answer == res[0, 0], (
          "expected isax index to be "
          + answer
          + " but got"
          + res[0, 0]
          + " instead."
      )
      h2o.remove(df)
      h2o.remove(df2)
      h2o.remove(res)
  
label_desc: Use image node_id 1 for calling a global function with example usage: isax() without return types