code: def load_csv(csvfile):
      """Load the csv file and return its first column as a single array."""
      assert os.path.exists(csvfile), "File %s does not exist" % csvfile
      output = []
      with open(csvfile, "rt") as f:
          reader = csv.reader(f)
          for rownum, row in enumerate(reader):
              if rownum == 0:
                  continue
              try:
                  value = float(row[0])
              except ValueError:
                  value = row[0]
              output.append(value)
      return output
  
file_path: h2o-3/h2o-py/tests/testdir_javapredict/pyunit_mojo.py
imports: import csv
  import os
  import random
  import shutil
  import subprocess
  import sys
  import tempfile
  import time
  import tabulate
  from tests import pyunit_utils
  import h2o
  from h2o.estimators import H2ORandomForestEstimator, H2OGradientBoostingEstimator
label_desc: Use image node_id 3 for calling a global function with example usage: load_csv(csvfile) and returns: output