code: def checkCorrectSkips(originalFullFrame, csvfile, skipped_columns):
      skippedFrameUF = h2o.upload_file(
          csvfile, skipped_columns=skipped_columns
      )
      skippedFrameIF = h2o.import_file(
          csvfile, skipped_columns=skipped_columns
      )  # this two frames should be the same
      pyunit_utils.compare_frames_local(
          skippedFrameUF, skippedFrameIF, prob=0.5
      )
  
      skipCounter = 0
      typeDict = originalFullFrame.types
      frameNames = originalFullFrame.names
      for cindex in range(len(frameNames)):
          if cindex not in skipped_columns:
              print("Checking column {0}...".format(cindex))
              if (
                  typeDict[frameNames[cindex]] == "enum"
                  and cindex == 10
              ):  # look at original frame
                  continue
  
              elif typeDict[frameNames[cindex]] == "enum" and not (
                  skipCounter == 10
              ):
                  pyunit_utils.compare_frames_local_onecolumn_NA_enum(
                      originalFullFrame[cindex],
                      skippedFrameIF[skipCounter],
                      prob=1,
                      tol=1e-10,
                      returnResult=False,
                  )
              elif typeDict[frameNames[cindex]] == "string":
                  pyunit_utils.compare_frames_local_onecolumn_NA_string(
                      originalFullFrame[cindex],
                      skippedFrameIF[skipCounter],
                      prob=1,
                      returnResult=False,
                  )
              elif typeDict[frameNames[cindex]] == "int":
                  pyunit_utils.compare_frames_local_onecolumn_NA(
                      originalFullFrame[cindex],
                      skippedFrameIF[skipCounter].asnumeric(),
                      prob=1,
                      tol=1e-10,
                      returnResult=False,
                  )
              skipCounter = skipCounter + 1
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  import random
label_desc: Use image node_id 2 for calling a global function with example usage: checkCorrectSkips(originalFullFrame, csvfile, skipped_columns) without return types