code: def upload_import_small():
      # Connect to a pre-existing cluster
  
      various_datasets = [
          "smalldata/iris/iris.csv",
          "smalldata/iris/iris_wheader.csv",
          "smalldata/prostate/prostate.csv",
          "smalldata/prostate/prostate_woheader.csv.gz",
      ]
  
      for dataset in various_datasets:
          uploaded_frame = h2o.upload_file(pyunit_utils.locate(dataset))
          imported_frame = h2o.import_file(pyunit_utils.locate(dataset))
  
          rows_u, cols_u = uploaded_frame.dim
          rows_i, cols_i = imported_frame.dim
  
          assert rows_u == rows_i, (
              "Expected same number of rows regardless of method. upload: {0}, import: "
              "{1}.".format(rows_u, rows_i)
          )
  
          assert cols_u == cols_i, (
              "Expected same number of cols regardless of method. upload: {0}, import: "
              "{1}.".format(cols_u, cols_i)
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: upload_import_small() without return types