code: def download_csv():
      iris1 = h2o.import_file(
          path=pyunit_utils.locate("smalldata/iris/iris.csv")
      )
  
      h2o.download_csv(iris1, "iris_delete.csv")
  
      iris2 = h2o.import_file(
          path=pyunit_utils.locate("iris_delete.csv")
      )
      os.remove("iris_delete.csv")
  
      rand_row = random.randint(0, iris1.nrow - 1)
      rand_col = random.randint(0, 3)
      assert (
          abs(iris1[rand_row, rand_col] - iris2[rand_row, rand_col])
          < 1e-10
      ), (
          "Expected elements from the datasets to "
          "be the same, but got {0} and {1}"
          "".format(
              iris1[rand_row, rand_col], iris2[rand_row, rand_col]
          )
      )
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  import os
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: download_csv() without return types