code: def directory_import():
      hadoop_namenode_is_accessible = (
          pyunit_utils.hadoop_namenode_is_accessible()
      )
  
      if hadoop_namenode_is_accessible:
          hdfs_name_node = pyunit_utils.hadoop_namenode()
          url1 = "hdfs://{0}{1}".format(
              hdfs_name_node,
              "/datasets/iris/identical_iris_files/iris1.csv",
          )
          url2 = "hdfs://{0}{1}".format(
              hdfs_name_node, "/datasets/iris/identical_iris_files/"
          )
          print(
              "Importing HDFS file {0} and directory {1}".format(
                  url1, url2
              )
          )
          frm_one = h2o.import_file(url1)
          frm_all = h2o.import_file(url2)
  
          r1, c1 = frm_one.dim
          ra, ca = frm_all.dim
  
          assert (
              r1 * 3 == ra
          ), "Expected 3 times the rows, but got {0} and {1}".format(
              r1, ra
          )
          assert (
              c1 == ca
          ), "Expected same number of cols, but got {0} and {1}".format(
              c1, ca
          )
      else:
          raise EnvironmentError
  
      small1 = pyunit_utils.locate(
          "smalldata/jira/identical_files/iris1.csv"
      )
      small2 = small1.split("iris1.csv")[0]
      print(
          "Importing smalldata file {0} and directory {1}".format(
              small1, small2
          )
      )
      frm_one = h2o.import_file(small1)
      frm_all = h2o.import_file(small2)
  
      r1, c1 = frm_one.dim
      ra, ca = frm_all.dim
  
      assert (
          r1 * 3 == ra
      ), "Expected 3 times the rows, but got {0} and {1}".format(r1, ra)
      assert (
          c1 == ca
      ), "Expected same number of cols, but got {0} and {1}".format(
          c1, ca
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: directory_import() without return types