code: def distance_check_without_empty_strings():
      x = h2o.H2OFrame.from_python(
          ["Martha", "Dwayne", "Dixon"], column_types=["factor"]
      )
      y = h2o.H2OFrame.from_python(
          ["Marhta", "Duane", ""], column_types=["string"]
      )
      dist = x.strdistance(y, measure="jw", compare_empty=False)
      dist_list = h2o.as_list(dist, use_pandas=False, header=False)
      # compare without last value as it is empty list
      tst.assert_allclose(
          [float(c[0]) for c in dist_list[0:2]],
          [0.961111, 0.84],
          atol=0.001,
      )
      # compare that last value os NA
      dist_na_list = h2o.as_list(
          dist.isna(), use_pandas=False, header=False
      )
      assert dist_na_list == [["0"], ["0"], ["1"]]
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from numpy import testing
label_desc: Use image node_id 3 for calling a global function with example usage: distance_check_without_empty_strings() without return types