code: def separator():
      path = "smalldata/jira/hexdev_29.csv"
  
      fhex = h2o.import_file(pyunit_utils.locate(path), sep=",")
      fhex.summary()
      fhex_col_summary = h2o.api(
          "GET /3/Frames/%s/summary" % urllib.parse.quote(fhex.frame_id)
      )["frames"][0]["columns"]
      fhex_missing_count = sum(
          e["missing_count"] for e in fhex_col_summary
      )
      assert fhex_missing_count == 0
  
      # since the wrong separator was passed, we will parse the data as one big column.
      # Test proposed by Eric.
      fhex_wrong_separator = h2o.import_file(
          pyunit_utils.locate(path), sep=";"
      )
      fhex_wrong_separator.summary()
      assert fhex_wrong_separator.ncol == 1
      assert fhex_wrong_separator.nrow == 6
  
      try:
          h2o.import_file(pyunit_utils.locate(path), sep="--")
      except H2OTypeError:
          pass
      else:
          assert False
  
imports: import sys
  import h2o
  from h2o.exceptions import H2OTypeError
  from tests import pyunit_utils
  import urllib.request, urllib.parse, urllib.error
label_desc: Use image node_id 1 for calling a global function with example usage: separator() without return types