code: def binop_star():
      iris = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      rows, cols = iris.dim
      iris.show()
  
      # frame/scaler
      res = iris * 99
      res_rows, res_cols = res.dim
      assert res_rows == rows and res_cols == cols, "dimension mismatch"
      for x, y in zip(
          [res[c].sum() for c in range(cols - 1)],
          [86773.5, 45351.9, 55816.2, 17800.2],
      ):
          assert abs(x - y) < 1e-7, "unexpected column sums."
  
      res = 5 * iris
      res_rows, res_cols = res.dim
      assert res_rows == rows and res_cols == cols, "dimension mismatch"
  
      # frame/vec
      # try:
      #    res = iris * iris[0]
      #    res.show()
      #    assert False, "expected error. objects of different dimensions not supported."
      # except EnvironmentError:
      #    pass
  
      # try:
      #    res = iris[2] * iris
      #    res.show()
      #    assert False, "expected error. objects of different dimensions not supported."
      # except EnvironmentError:
      #    pass
  
      # vec/vec
      res = iris[0] * iris[1]
      res.show()
      assert (
          abs(res.sum() - 2670.98) < 1e-2
      ), "expected different column sum"
  
      res = iris[0] * iris[1] * iris[2] * iris[3]
      res.show()
      assert abs(res.sum() - 16560.42) < 1e-2, "expected different sum"
  
      # frame/frame
      res = iris * iris
      res_rows, res_cols = res.dim
      assert res_rows == rows and res_cols == cols, "dimension mismatch"
  
      res = iris[0:2] * iris[1:3]
      res_rows, res_cols = res.dim
      assert res_rows == rows and res_cols == 2, "dimension mismatch"
  
imports: from builtins import zip
  from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
label_desc: Use image node_id 1 for calling a global function with example usage: binop_star() without return types