code: def vec_slicing():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      iris.show()
  
      ###################################################################
  
      # H2OVec[int]
      res = 2 - iris
      res2 = res[0]
      assert (
          abs(res2[3, 0] - -2.6) < 1e-10
          and abs(res2[17, 0] - -3.1) < 1e-10
          and abs(res2[24, 0] - -2.8) < 1e-10
      ), "incorrect values"
  
      # H2OVec[slice]
      res = iris[12:25, 1]
      assert (
          abs(res[0, 0] - 3.0) < 1e-10
          and abs(res[1, 0] - 3.0) < 1e-10
          and abs(res[5, 0] - 3.5) < 1e-10
      ), "incorrect values"
  
label_desc: Use image node_id 1 for calling a global function with example usage: vec_slicing() without return types