code: def sdev():
      iris_h2o = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris_wheader.csv")
      )
      iris_np = np.genfromtxt(
          pyunit_utils.locate("smalldata/iris/iris_wheader.csv"),
          delimiter=",",
          skip_header=1,
          usecols=(0, 1, 2, 3),
      )
  
      sd_np = np.std(iris_np, axis=0, ddof=1)
      sd_h2o = iris_h2o.sd()
      print(sd_h2o)
      for i in range(4):
          assert (
              abs(sd_np[i] - sd_h2o[i]) < 1e-10
          ), "expected standard deviations to be the same"
  
      print(iris_h2o[0:2].sd())
  
imports: from builtins import range
  import sys
  import h2o
  from tests import pyunit_utils
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: sdev() without return types