code: def h2oupload_file():
      """
      Python API test: h2o.upload_file(path, destination_frame=None, header=0, sep=None, col_names=None, col_types=None,
       na_strings=None)
  
      Note: if you want to change the column names that are going to be different from the ones in your file, you
      must do it after you parse in the file.  Setting header=1 but setting col_names different from the column names
      in the file will result reading in the column names as data.  Since the column names may not be the right column
      type, it will be counted as NAs.
      """
      col_types = [
          "enum",
          "numeric",
          "enum",
          "enum",
          "enum",
          "numeric",
          "numeric",
          "numeric",
      ]
      col_headers = [
          "CAPSULE",
          "AGE",
          "RACE",
          "DPROS",
          "DCAPS",
          "PSA",
          "VOL",
          "GLEASON",
      ]
      hex_key = "training_data.hex"
      training_data = h2o.upload_file(
          pyunit_utils.locate("smalldata/prostate/prostate_cat.csv"),
          destination_frame=hex_key,
          header=1,
          sep=",",
          col_names=col_headers,
          col_types=col_types,
          na_strings=["NA"],
      )
      assert_is_type(training_data, H2OFrame)
      assert training_data.frame_id == hex_key, (
          "frame_id was not assigned correctly.  h2o.upload_file() is not"
          " working."
      )
      assert len(
          set(training_data.col_names) & set(col_headers)
      ) == len(col_headers), (
          "column names are incorrect.  "
          "h2o.upload_file() not working."
      )
      assert (
          training_data.nrow == 380
      ), "number of rows is incorrect.  h2o.upload_file() is not working."
      assert (
          training_data.ncol == 8
      ), "number of columns is incorrect.  h2o.upload_file() is not working."
      assert (
          sum(training_data.nacnt()) == 3
      ), "NA count is incorrect.  h2o.upload_file() is not working."
  
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.utils.typechecks import assert_is_type
  from h2o.frame import H2OFrame
label_desc: Use image node_id 1 for calling a global function with example usage: h2oupload_file() without return types