code: def test_shuffle_data_with_multiple_locations(self):
      # SPARK-39179: Test shuffle of data with multiple location also check
      # shuffle locations get randomized
  
      with tempfile.TemporaryDirectory() as tempdir1, tempfile.TemporaryDirectory() as tempdir2:
          original = os.environ.get("SPARK_LOCAL_DIRS", None)
          os.environ["SPARK_LOCAL_DIRS"] = tempdir1 + "," + tempdir2
          try:
              index_of_tempdir1 = [False, False]
              for idx in range(10):
                  m = ExternalMerger(self.agg, 20)
                  if m.localdirs[0].startswith(tempdir1):
                      index_of_tempdir1[0] = True
                  elif m.localdirs[1].startswith(tempdir1):
                      index_of_tempdir1[1] = True
                  m.mergeValues(self.data)
                  self.assertTrue(m.spills >= 1)
                  self.assertEqual(
                      sum(sum(v) for k, v in m.items()),
                      sum(range(self.N)),
                  )
              self.assertTrue(
                  index_of_tempdir1[0]
                  and (index_of_tempdir1[0] == index_of_tempdir1[1])
              )
          finally:
              if original is not None:
                  os.environ["SPARK_LOCAL_DIRS"] = original
              else:
                  del os.environ["SPARK_LOCAL_DIRS"]
  
imports: import random
  import unittest
  import tempfile
  import os
  from py4j.protocol import Py4JJavaError
  from pyspark import shuffle, CPickleSerializer, SparkConf, SparkContext
  from pyspark.shuffle import Aggregator, ExternalMerger, ExternalSorter, SimpleAggregator, Merger, ExternalGroupBy
label_desc: Use image node_id 4 for calling the MergerTests obj's underlying member method code with example usage: obj.test_shuffle_data_with_multiple_locations() without return types