code: def runif_check():
      # Connect to a pre-existing cluster
  
      uploaded_frame = h2o.upload_file(
          pyunit_utils.locate("bigdata/laptop/mnist/train.csv.gz")
      )
      r_u = uploaded_frame[0].runif(1234)
  
      imported_frame = h2o.import_file(
          pyunit_utils.locate("bigdata/laptop/mnist/train.csv.gz")
      )
      r_i = imported_frame[0].runif(1234)
  
      print(
          "This demonstrates that seeding runif on identical frames with different chunk distributions provides "
          "different results. upload_file: {0}, import_frame: {1}.".format(
              r_u.mean().getrow()[0], r_i.mean().getrow()[0]
          )
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: runif_check() without return types